https://github.com/modelcontextprotocol/ruby-sdk

The official Ruby SDK for the Model Context Protocol.
https://github.com/modelcontextprotocol/ruby-sdk

Last synced: about 2 months ago
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The official Ruby SDK for the Model Context Protocol.

Host: GitHub
URL: https://github.com/modelcontextprotocol/ruby-sdk
Owner: modelcontextprotocol
License: other
Created: 2025-02-27T21:00:23.000Z (over 1 year ago)
Default Branch: main
Last Pushed: 2026-04-17T17:06:33.000Z (about 2 months ago)
Last Synced: 2026-04-18T13:02:53.640Z (about 2 months ago)
Language: Ruby
Homepage: https://ruby.sdk.modelcontextprotocol.io
Size: 806 KB
Stars: 782
Watchers: 19
Forks: 108
Open Issues: 9
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Agents: AGENTS.md

Awesome Lists containing this project

awesome-ruby-ai - mcp - The official Ruby SDK for Model Context Protocol servers and clients (Open Source / MCP)
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awesome-mcp - modelcontextprotocol/ruby-sdk - Official Ruby SDK for implementing Model Context Protocol (MCP) servers and clients with support for JSON-RPC 2.0, tools, prompts, resources, and multiple transport options including Rails and command-line environments. (MCP Frameworks and libraries / Ruby)
awesome-mcp-servers - **Ruby MCP SDK**
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README

# MCP Ruby SDK [![Gem Version](https://img.shields.io/gem/v/mcp)](https://rubygems.org/gems/mcp) [![Apache 2.0 licensed](https://img.shields.io/badge/license-Apache%202.0-blue)](https://github.com/modelcontextprotocol/ruby-sdk/blob/main/LICENSE) [![CI](https://github.com/modelcontextprotocol/ruby-sdk/actions/workflows/ci.yml/badge.svg)](https://github.com/modelcontextprotocol/ruby-sdk/actions/workflows/ci.yml)

The official Ruby SDK for Model Context Protocol servers and clients.

## Installation

Add this line to your application's Gemfile:

```ruby
gem 'mcp'
```

And then execute:

```console
$ bundle install
```

Or install it yourself as:

```console
$ gem install mcp
```

You may need to add additional dependencies depending on which features you wish to access.

## Building an MCP Server

The `MCP::Server` class is the core component that handles JSON-RPC requests and responses.
It implements the Model Context Protocol specification, handling model context requests and responses.

### Key Features

- Implements JSON-RPC 2.0 message handling
- Supports protocol initialization and capability negotiation
- Manages tool registration and invocation
- Supports prompt registration and execution
- Supports resource registration and retrieval
- Supports stdio & Streamable HTTP (including SSE) transports
- Supports notifications for list changes (tools, prompts, resources)
- Supports roots (server-to-client filesystem boundary queries)
- Supports sampling (server-to-client LLM completion requests)
- Supports cursor-based pagination for list operations

### Supported Methods

- `initialize` - Initializes the protocol and returns server capabilities
- `ping` - Simple health check
- `tools/list` - Lists all registered tools and their schemas
- `tools/call` - Invokes a specific tool with provided arguments
- `prompts/list` - Lists all registered prompts and their schemas
- `prompts/get` - Retrieves a specific prompt by name
- `resources/list` - Lists all registered resources and their schemas
- `resources/read` - Retrieves a specific resource by name
- `resources/templates/list` - Lists all registered resource templates and their schemas
- `resources/subscribe` - Subscribes to updates for a specific resource
- `resources/unsubscribe` - Unsubscribes from updates for a specific resource
- `completion/complete` - Returns autocompletion suggestions for prompt arguments and resource URIs
- `roots/list` - Requests filesystem roots from the client (server-to-client)
- `sampling/createMessage` - Requests LLM completion from the client (server-to-client)
- `elicitation/create` - Requests user input from the client (server-to-client)

### Usage

#### Stdio Transport

If you want to build a local command-line application, you can use the stdio transport:

```ruby
require "mcp"

# Create a simple tool
class ExampleTool < MCP::Tool
description "A simple example tool that echoes back its arguments"
input_schema(
properties: {
message: { type: "string" },
},
required: ["message"]
)

class << self
def call(message:, server_context:)
MCP::Tool::Response.new([{
type: "text",
text: "Hello from example tool! Message: #{message}",
}])
end
end
end

# Set up the server
server = MCP::Server.new(
name: "example_server",
tools: [ExampleTool],
)

# Create and start the transport
transport = MCP::Server::Transports::StdioTransport.new(server)
transport.open
```

You can run this script and then type in requests to the server at the command line.

```console
$ ruby examples/stdio_server.rb
{"jsonrpc":"2.0","id":"1","method":"ping"}
{"jsonrpc":"2.0","id":"2","method":"tools/list"}
{"jsonrpc":"2.0","id":"3","method":"tools/call","params":{"name":"example_tool","arguments":{"message":"Hello"}}}
```

#### Streamable HTTP Transport

`MCP::Server::Transports::StreamableHTTPTransport` is a standard Rack app, so it can be mounted in any Rack-compatible framework.
The following examples show two common integration styles in Rails.

> [!IMPORTANT]
> `MCP::Server::Transports::StreamableHTTPTransport` stores session and SSE stream state in memory,
> so it must run in a single process. Use a single-process server (e.g., Puma with `workers 0`).
> Multi-process configurations (Unicorn, or Puma with `workers > 0`) fork separate processes that
> do not share memory, which breaks session management and SSE connections.
>
> When running multiple server instances behind a load balancer, configure your load balancer to use
> sticky sessions (session affinity) so that requests with the same `Mcp-Session-Id` header are always
> routed to the same instance.
>
> Stateless mode (`stateless: true`) does not use sessions and works with any server configuration.

##### Rails (mount)

`StreamableHTTPTransport` is a Rack app that can be mounted directly in Rails routes:

```ruby
# config/routes.rb
server = MCP::Server.new(
name: "my_server",
title: "Example Server Display Name",
version: "1.0.0",
instructions: "Use the tools of this server as a last resort",
tools: [SomeTool, AnotherTool],
prompts: [MyPrompt],
)
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server)

Rails.application.routes.draw do
mount transport => "/mcp"
end
```

`mount` directs all HTTP methods on `/mcp` to the transport. `StreamableHTTPTransport` internally dispatches
`POST` (client-to-server JSON-RPC messages, with responses optionally streamed via SSE),
`GET` (optional standalone SSE stream for server-to-client messages), and `DELETE` (session termination) per
the [MCP Streamable HTTP transport spec](https://modelcontextprotocol.io/specification/latest/basic/transports#streamable-http),
so no additional route configuration is needed.

##### Rails (controller)

While the mount approach creates a single server at boot time, the controller approach creates a new server per request.
This allows you to customize tools, prompts, or configuration based on the request (e.g., different tools per route).

`StreamableHTTPTransport#handle_request` returns proper HTTP status codes (e.g., 202 Accepted for notifications):

```ruby
class McpController < ActionController::API
def create
server = MCP::Server.new(
name: "my_server",
title: "Example Server Display Name",
version: "1.0.0",
instructions: "Use the tools of this server as a last resort",
tools: [SomeTool, AnotherTool],
prompts: [MyPrompt],
server_context: { user_id: current_user.id },
)
# Since the `MCP-Session-Id` is not shared across requests, `stateless: true` is set.
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, stateless: true)
status, headers, body = transport.handle_request(request)

render(json: body.first, status: status, headers: headers)
end
end
```

### Configuration

The gem can be configured using the `MCP.configure` block:

```ruby
MCP.configure do |config|
config.exception_reporter = ->(exception, server_context) {
# Your exception reporting logic here
# For example with Bugsnag:
Bugsnag.notify(exception) do |report|
report.add_metadata(:model_context_protocol, server_context)
end
}

config.around_request = ->(data, &request_handler) {
logger.info("Start: #{data[:method]}")
request_handler.call
logger.info("Done: #{data[:method]}, tool: #{data[:tool_name]}")
}
end
```

or by creating an explicit configuration and passing it into the server.
This is useful for systems where an application hosts more than one MCP server but
they might require different configurations.

```ruby
configuration = MCP::Configuration.new
configuration.exception_reporter = ->(exception, server_context) {
# Your exception reporting logic here
# For example with Bugsnag:
Bugsnag.notify(exception) do |report|
report.add_metadata(:model_context_protocol, server_context)
end
}

configuration.around_request = ->(data, &request_handler) {
logger.info("Start: #{data[:method]}")
request_handler.call
logger.info("Done: #{data[:method]}, tool: #{data[:tool_name]}")
}

server = MCP::Server.new(
# ... all other options
configuration:,
)
```

### Server Context and Configuration Block Data

#### `server_context`

The `server_context` is a user-defined hash that is passed into the server instance and made available to tool and prompt calls.
It can be used to provide contextual information such as authentication state, user IDs, or request-specific data.

**Type:**

```ruby
server_context: { [String, Symbol] => Any }
```

**Example:**

```ruby
server = MCP::Server.new(
name: "my_server",
server_context: { user_id: current_user.id, request_id: request.uuid }
)
```

This hash is then passed as the `server_context` keyword argument to tool and prompt calls.
Note that exception and instrumentation callbacks do not receive this user-defined hash.
See the relevant sections below for the arguments they receive.

#### Request-specific `_meta` Parameter

The MCP protocol supports a special [`_meta` parameter](https://modelcontextprotocol.io/specification/2025-06-18/basic#general-fields) in requests that allows clients to pass request-specific metadata. The server automatically extracts this parameter and makes it available to tools and prompts as a nested field within the `server_context`.

**Access Pattern:**

When a client includes `_meta` in the request params, it becomes available as `server_context[:_meta]`:

```ruby
class MyTool < MCP::Tool
def self.call(message:, server_context:)
# Access provider-specific metadata
session_id = server_context.dig(:_meta, :session_id)
request_id = server_context.dig(:_meta, :request_id)

# Access server's original context
user_id = server_context.dig(:user_id)

MCP::Tool::Response.new([{
type: "text",
text: "Processing for user #{user_id} in session #{session_id}"
}])
end
end
```

**Client Request Example:**

```json
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "my_tool",
"arguments": { "message": "Hello" },
"_meta": {
"session_id": "abc123",
"request_id": "req_456"
}
}
}
```

#### Configuration Block Data

##### Exception Reporter

The exception reporter receives:

- `exception`: The Ruby exception object that was raised
- `server_context`: A hash describing where the failure occurred (e.g., `{ request: }`
for request handling, `{ notification: "tools_list_changed" }` for notification delivery).
This is not the user-defined `server_context` passed to `Server.new`.

**Signature:**

```ruby
exception_reporter = ->(exception, server_context) { ... }
```

##### Around Request

The `around_request` hook wraps request handling, allowing you to execute code before and after each request.
This is useful for Application Performance Monitoring (APM) tracing, logging, or other observability needs.

The hook receives a `data` hash and a `request_handler` block. You must call `request_handler.call` to execute the request:

**Signature:**

```ruby
around_request = ->(data, &request_handler) { request_handler.call }
```

**`data` availability by timing:**

- Before `request_handler.call`: `method`
- After `request_handler.call`: `tool_name`, `tool_arguments`, `prompt_name`, `resource_uri`, `error`, `client`
- Not available inside `around_request`: `duration` (added after `around_request` returns)

> [!NOTE]
> `tool_name`, `prompt_name` and `resource_uri` may only be populated for the corresponding request methods
> (`tools/call`, `prompts/get`, `resources/read`), and may not be set depending on how the request is handled
> (for example, `prompt_name` is not recorded when the prompt is not found).
> `duration` is added after `around_request` returns, so it is not visible from within the hook.

**Example:**

```ruby
MCP.configure do |config|
config.around_request = ->(data, &request_handler) {
logger.info("Start: #{data[:method]}")
request_handler.call
logger.info("Done: #{data[:method]}, tool: #{data[:tool_name]}")
}
end
```

##### Instrumentation Callback (soft-deprecated)

> [!NOTE]
> `instrumentation_callback` is soft-deprecated. Use `around_request` instead.
>
> To migrate, wrap the call in `begin/ensure` so the callback still runs when the request fails:
>
> ```ruby
> # Before
> config.instrumentation_callback = ->(data) { log(data) }
>
> # After
> config.around_request = ->(data, &request_handler) do
> request_handler.call
> ensure
> log(data)
> end
> ```
>
> Note that `data[:duration]` is not available inside `around_request`.
> If you need it, measure elapsed time yourself within the hook, or keep using `instrumentation_callback`.

The instrumentation callback is called after each request finishes, whether successfully or with an error.
It receives a hash with the following possible keys:

- `method`: (String) The protocol method called (e.g., "ping", "tools/list")
- `tool_name`: (String, optional) The name of the tool called
- `tool_arguments`: (Hash, optional) The arguments passed to the tool
- `prompt_name`: (String, optional) The name of the prompt called
- `resource_uri`: (String, optional) The URI of the resource called
- `error`: (String, optional) Error code if a lookup failed
- `duration`: (Float) Duration of the call in seconds
- `client`: (Hash, optional) Client information with `name` and `version` keys, from the initialize request

**Signature:**

```ruby
instrumentation_callback = ->(data) { ... }
```

### Server Protocol Version

The server's protocol version can be overridden using the `protocol_version` keyword argument:

```ruby
configuration = MCP::Configuration.new(protocol_version: "2024-11-05")
MCP::Server.new(name: "test_server", configuration: configuration)
```

If no protocol version is specified, the latest stable version will be applied by default.
The latest stable version includes new features from the [draft version](https://modelcontextprotocol.io/specification/draft).

This will make all new server instances use the specified protocol version instead of the default version. The protocol version can be reset to the default by setting it to `nil`:

```ruby
MCP::Configuration.new(protocol_version: nil)
```

If an invalid `protocol_version` value is set, an `ArgumentError` is raised.

Be sure to check the [MCP spec](https://modelcontextprotocol.io/specification/versioning) for the protocol version to understand the supported features for the version being set.

### Exception Reporting

The exception reporter receives two arguments:

- `exception`: The Ruby exception object that was raised
- `server_context`: A hash containing contextual information about where the error occurred

The server_context hash includes:

- For tool calls: `{ tool_name: "name", arguments: { ... } }`
- For general request handling: `{ request: { ... } }`

When an exception occurs:

1. The exception is reported via the configured reporter
2. For tool calls, a generic error response is returned to the client: `{ error: "Internal error occurred", isError: true }`
3. For other requests, the exception is re-raised after reporting

If no exception reporter is configured, a default no-op reporter is used that silently ignores exceptions.

### Tools

MCP spec includes [Tools](https://modelcontextprotocol.io/specification/latest/server/tools) which provide functionality to LLM apps.

This gem provides a `MCP::Tool` class that can be used to create tools in three ways:

1. As a class definition:

```ruby
class MyTool < MCP::Tool
title "My Tool"
description "This tool performs specific functionality..."
input_schema(
properties: {
message: { type: "string" },
},
required: ["message"]
)
output_schema(
properties: {
result: { type: "string" },
success: { type: "boolean" },
timestamp: { type: "string", format: "date-time" }
},
required: ["result", "success", "timestamp"]
)
annotations(
read_only_hint: true,
destructive_hint: false,
idempotent_hint: true,
open_world_hint: false,
title: "My Tool"
)

def self.call(message:, server_context:)
MCP::Tool::Response.new([{ type: "text", text: "OK" }])
end
end

tool = MyTool
```

2. By using the `MCP::Tool.define` method with a block:

```ruby
tool = MCP::Tool.define(
name: "my_tool",
title: "My Tool",
description: "This tool performs specific functionality...",
annotations: {
read_only_hint: true,
title: "My Tool"
}
) do |args, server_context:|
MCP::Tool::Response.new([{ type: "text", text: "OK" }])
end
```

3. By using the `MCP::Server#define_tool` method with a block:

```ruby
server = MCP::Server.new
server.define_tool(
name: "my_tool",
description: "This tool performs specific functionality...",
annotations: {
title: "My Tool",
read_only_hint: true
}
) do |args, server_context:|
Tool::Response.new([{ type: "text", text: "OK" }])
end
```

The server_context parameter is the server_context passed into the server and can be used to pass per request information,
e.g. around authentication state.

### Tool Annotations

Tools can include annotations that provide additional metadata about their behavior. The following annotations are supported:

- `destructive_hint`: Indicates if the tool performs destructive operations. Defaults to true
- `idempotent_hint`: Indicates if the tool's operations are idempotent. Defaults to false
- `open_world_hint`: Indicates if the tool operates in an open world context. Defaults to true
- `read_only_hint`: Indicates if the tool only reads data (doesn't modify state). Defaults to false
- `title`: A human-readable title for the tool

Annotations can be set either through the class definition using the `annotations` class method or when defining a tool using the `define` method.

> [!NOTE]
> This **Tool Annotations** feature is supported starting from `protocol_version: '2025-03-26'`.

### Tool Output Schemas

Tools can optionally define an `output_schema` to specify the expected structure of their results. This works similarly to how `input_schema` is defined and can be used in three ways:

1. **Class definition with output_schema:**

```ruby
class WeatherTool < MCP::Tool
tool_name "get_weather"
description "Get current weather for a location"

input_schema(
properties: {
location: { type: "string" },
units: { type: "string", enum: ["celsius", "fahrenheit"] }
},
required: ["location"]
)

output_schema(
properties: {
temperature: { type: "number" },
condition: { type: "string" },
humidity: { type: "integer" }
},
required: ["temperature", "condition", "humidity"]
)

def self.call(location:, units: "celsius", server_context:)
# Call weather API and structure the response
api_response = WeatherAPI.fetch(location, units)
weather_data = {
temperature: api_response.temp,
condition: api_response.description,
humidity: api_response.humidity_percent
}

output_schema.validate_result(weather_data)

MCP::Tool::Response.new([{
type: "text",
text: weather_data.to_json
}])
end
end
```

2. **Using Tool.define with output_schema:**

```ruby
tool = MCP::Tool.define(
name: "calculate_stats",
description: "Calculate statistics for a dataset",
input_schema: {
properties: {
numbers: { type: "array", items: { type: "number" } }
},
required: ["numbers"]
},
output_schema: {
properties: {
mean: { type: "number" },
median: { type: "number" },
count: { type: "integer" }
},
required: ["mean", "median", "count"]
}
) do |args, server_context:|
# Calculate statistics and validate against schema
MCP::Tool::Response.new([{ type: "text", text: "Statistics calculated" }])
end
```

3. **Using OutputSchema objects:**

```ruby
class DataTool < MCP::Tool
output_schema MCP::Tool::OutputSchema.new(
properties: {
success: { type: "boolean" },
data: { type: "object" }
},
required: ["success"]
)
end
```

Output schema may also describe an array of objects:

```ruby
class WeatherTool < MCP::Tool
output_schema(
type: "array",
items: {
properties: {
temperature: { type: "number" },
condition: { type: "string" },
humidity: { type: "integer" }
},
required: ["temperature", "condition", "humidity"]
}
)
end
```

Please note: in this case, you must provide `type: "array"`. The default type
for output schemas is `object`.

MCP spec for the [Output Schema](https://modelcontextprotocol.io/specification/latest/server/tools#output-schema) specifies that:

- **Server Validation**: Servers MUST provide structured results that conform to the output schema
- **Client Validation**: Clients SHOULD validate structured results against the output schema
- **Better Integration**: Enables strict schema validation, type information, and improved developer experience
- **Backward Compatibility**: Tools returning structured content SHOULD also include serialized JSON in a TextContent block

The output schema follows standard JSON Schema format and helps ensure consistent data exchange between MCP servers and clients.

### Tool Responses with Structured Content

Tools can return structured data alongside text content using the `structured_content` parameter.

The structured content will be included in the JSON-RPC response as the `structuredContent` field.

```ruby
class WeatherTool < MCP::Tool
description "Get current weather and return structured data"

output_schema.validate_result(weather_data)

MCP::Tool::Response.new(
[{
type: "text",
text: weather_data.to_json
}],
structured_content: weather_data
)
end
end
```

### Tool Responses with Errors

Tools can return error information alongside text content using the `error` parameter.

The error will be included in the JSON-RPC response as the `isError` field.

```ruby
class WeatherTool < MCP::Tool
description "Get current weather and return structured data"

def self.call(server_context:)
# Do something here
content = {}

MCP::Tool::Response.new(
[{
type: "text",
text: content.to_json
}],
structured_content: content,
error: true
)
end
end
```

### Prompts

MCP spec includes [Prompts](https://modelcontextprotocol.io/specification/latest/server/prompts), which enable servers to define reusable prompt templates and workflows that clients can easily surface to users and LLMs.

The `MCP::Prompt` class provides three ways to create prompts:

1. As a class definition with metadata:

```ruby
class MyPrompt < MCP::Prompt
prompt_name "my_prompt" # Optional - defaults to underscored class name
title "My Prompt"
description "This prompt performs specific functionality..."
arguments [
MCP::Prompt::Argument.new(
name: "message",
title: "Message Title",
description: "Input message",
required: true
)
]
meta({ version: "1.0", category: "example" })

class << self
def template(args, server_context:)
MCP::Prompt::Result.new(
description: "Response description",
messages: [
MCP::Prompt::Message.new(
role: "user",
content: MCP::Content::Text.new("User message")
),
MCP::Prompt::Message.new(
role: "assistant",
content: MCP::Content::Text.new(args["message"])
)
]
)
end
end
end

prompt = MyPrompt
```

2. Using the `MCP::Prompt.define` method:

```ruby
prompt = MCP::Prompt.define(
name: "my_prompt",
title: "My Prompt",
description: "This prompt performs specific functionality...",
arguments: [
MCP::Prompt::Argument.new(
name: "message",
title: "Message Title",
description: "Input message",
required: true
)
],
meta: { version: "1.0", category: "example" }
) do |args, server_context:|
MCP::Prompt::Result.new(
description: "Response description",
messages: [
MCP::Prompt::Message.new(
role: "user",
content: MCP::Content::Text.new("User message")
),
MCP::Prompt::Message.new(
role: "assistant",
content: MCP::Content::Text.new(args["message"])
)
]
)
end
```

3. Using the `MCP::Server#define_prompt` method:

```ruby
server = MCP::Server.new
server.define_prompt(
name: "my_prompt",
description: "This prompt performs specific functionality...",
arguments: [
Prompt::Argument.new(
name: "message",
title: "Message Title",
description: "Input message",
required: true
)
],
meta: { version: "1.0", category: "example" }
) do |args, server_context:|
Prompt::Result.new(
description: "Response description",
messages: [
Prompt::Message.new(
role: "user",
content: Content::Text.new("User message")
),
Prompt::Message.new(
role: "assistant",
content: Content::Text.new(args["message"])
)
]
)
end
```

The server_context parameter is the server_context passed into the server and can be used to pass per request information,
e.g. around authentication state or user preferences.

### Key Components

- `MCP::Prompt::Argument` - Defines input parameters for the prompt template with name, title, description, and required flag
- `MCP::Prompt::Message` - Represents a message in the conversation with a role and content
- `MCP::Prompt::Result` - The output of a prompt template containing description and messages
- `MCP::Content::Text` - Text content for messages

### Usage

```ruby
server = MCP::Server.new(
name: "my_server",
prompts: [MyPrompt],
server_context: { user_id: current_user.id },
)
```

The server will handle prompt listing and execution through the MCP protocol methods:

- `prompts/list` - Lists all registered prompts and their schemas
- `prompts/get` - Retrieves and executes a specific prompt with arguments

### Resources

MCP spec includes [Resources](https://modelcontextprotocol.io/specification/latest/server/resources).

### Reading Resources

The `MCP::Resource` class provides a way to register resources with the server.

```ruby
resource = MCP::Resource.new(
uri: "https://example.com/my_resource",
name: "my-resource",
title: "My Resource",
description: "Lorem ipsum dolor sit amet",
mime_type: "text/html",
)

server = MCP::Server.new(
name: "my_server",
resources: [resource],
)
```

The server must register a handler for the `resources/read` method to retrieve a resource dynamically.

```ruby
server.resources_read_handler do |params|
[{
uri: params[:uri],
mimeType: "text/plain",
text: "Hello from example resource! URI: #{params[:uri]}"
}]
end
```

otherwise `resources/read` requests will be a no-op.

### Resource Templates

The `MCP::ResourceTemplate` class provides a way to register resource templates with the server.

```ruby
resource_template = MCP::ResourceTemplate.new(
uri_template: "https://example.com/my_resource_template",
name: "my-resource-template",
title: "My Resource Template",
description: "Lorem ipsum dolor sit amet",
mime_type: "text/html",
)

server = MCP::Server.new(
name: "my_server",
resource_templates: [resource_template],
)
```

### Roots

The Model Context Protocol allows servers to request filesystem roots from clients through the `roots/list` method.
Roots define the boundaries of where a server can operate, providing a list of directories and files the client has made available.

**Key Concepts:**

- **Server-to-Client Request**: Like sampling, roots listing is initiated by the server
- **Client Capability**: Clients must declare `roots` capability during initialization
- **Change Notifications**: Clients that support `roots.listChanged` send `notifications/roots/list_changed` when roots change

**Using Roots in Tools:**

Tools that accept a `server_context:` parameter can call `list_roots` on it.
The request is automatically routed to the correct client session:

```ruby
class FileSearchTool < MCP::Tool
description "Search files within the client's project roots"
input_schema(
properties: {
query: { type: "string" }
},
required: ["query"]
)

def self.call(query:, server_context:)
roots = server_context.list_roots
root_uris = roots[:roots].map { |root| root[:uri] }

MCP::Tool::Response.new([{
type: "text",
text: "Searching in roots: #{root_uris.join(", ")}"
}])
end
end
```

Result contains an array of root objects:

```ruby
{
roots: [
{ uri: "file:///home/user/projects/myproject", name: "My Project" },
{ uri: "file:///home/user/repos/backend", name: "Backend Repository" }
]
}
```

**Handling Root Changes:**

```ruby
server.roots_list_changed_handler do
puts "Client's roots have changed, tools will see updated roots on next call."
end
```

**Error Handling:**

- Raises `RuntimeError` if client does not support `roots` capability
- Raises `StandardError` if client returns an error response

### Resource Subscriptions

Resource subscriptions allow clients to monitor specific resources for changes.
When a subscribed resource is updated, the server sends a notification to the client.

The SDK does not track subscription state internally.
Server developers register handlers and manage their own subscription state.
Three methods are provided:

- `Server#resources_subscribe_handler` - registers a handler for `resources/subscribe` requests
- `Server#resources_unsubscribe_handler` - registers a handler for `resources/unsubscribe` requests
- `ServerContext#notify_resources_updated` - sends a `notifications/resources/updated` notification to the subscribing client

```ruby
subscribed_uris = Set.new

server = MCP::Server.new(
name: "my_server",
resources: [my_resource],
capabilities: { resources: { subscribe: true } },
)

server.resources_subscribe_handler do |params|
subscribed_uris.add(params[:uri].to_s)
end

server.resources_unsubscribe_handler do |params|
subscribed_uris.delete(params[:uri].to_s)
end

server.define_tool(name: "update_resource") do |server_context:, **args|
if subscribed_uris.include?("test://my-resource")
server_context.notify_resources_updated(uri: "test://my-resource")
end
MCP::Tool::Response.new([MCP::Content::Text.new("Resource updated").to_h])
end
```

### Sampling

The Model Context Protocol allows servers to request LLM completions from clients through the `sampling/createMessage` method.
This enables servers to leverage the client's LLM capabilities without needing direct access to AI models.

**Key Concepts:**

- **Server-to-Client Request**: Unlike typical MCP methods (client to server), sampling is initiated by the server
- **Client Capability**: Clients must declare `sampling` capability during initialization
- **Tool Support**: When using tools in sampling requests, clients must declare `sampling.tools` capability
- **Human-in-the-Loop**: Clients can implement user approval before forwarding requests to LLMs

**Using Sampling in Tools:**

Tools that accept a `server_context:` parameter can call `create_sampling_message` on it.
The request is automatically routed to the correct client session:

```ruby
class SummarizeTool < MCP::Tool
description "Summarize text using LLM"
input_schema(
properties: {
text: { type: "string" }
},
required: ["text"]
)

def self.call(text:, server_context:)
result = server_context.create_sampling_message(
messages: [
{ role: "user", content: { type: "text", text: "Please summarize: #{text}" } }
],
max_tokens: 500
)

MCP::Tool::Response.new([{
type: "text",
text: result[:content][:text]
}])
end
end

server = MCP::Server.new(name: "my_server", tools: [SummarizeTool])
```

**Parameters:**

Required:

- `messages:` (Array) - Array of message objects with `role` and `content`
- `max_tokens:` (Integer) - Maximum tokens in the response

Optional:

- `system_prompt:` (String) - System prompt for the LLM
- `model_preferences:` (Hash) - Model selection preferences (e.g., `{ intelligencePriority: 0.8 }`)
- `include_context:` (String) - Context inclusion: `"none"`, `"thisServer"`, or `"allServers"` (soft-deprecated)
- `temperature:` (Float) - Sampling temperature
- `stop_sequences:` (Array) - Sequences that stop generation
- `metadata:` (Hash) - Additional metadata
- `tools:` (Array) - Tools available to the LLM (requires `sampling.tools` capability)
- `tool_choice:` (Hash) - Tool selection mode (e.g., `{ mode: "auto" }`)

**Error Handling:**

- Raises `RuntimeError` if client does not support `sampling` capability
- Raises `RuntimeError` if `tools` are used but client lacks `sampling.tools` capability
- Raises `StandardError` if client returns an error response

### Notifications

The server supports sending notifications to clients when lists of tools, prompts, or resources change. This enables real-time updates without polling.

#### Notification Methods

The server provides the following notification methods:

- `notify_tools_list_changed` - Send a notification when the tools list changes
- `notify_prompts_list_changed` - Send a notification when the prompts list changes
- `notify_resources_list_changed` - Send a notification when the resources list changes
- `notify_log_message` - Send a structured logging notification message

#### Session Scoping

When using Streamable HTTP transport with multiple clients, each client connection gets its own session. Notifications are scoped as follows:

- **`report_progress`** and **`notify_log_message`** called via `server_context` inside a tool handler are automatically sent only to the requesting client.
No extra configuration is needed.
- **`notify_tools_list_changed`**, **`notify_prompts_list_changed`**, and **`notify_resources_list_changed`** are always broadcast to all connected clients,
as they represent server-wide state changes. These should be called on the `server` instance directly.

#### Notification Format

Notifications follow the JSON-RPC 2.0 specification and use these method names:

- `notifications/tools/list_changed`
- `notifications/prompts/list_changed`
- `notifications/resources/list_changed`
- `notifications/progress`
- `notifications/message`

### Ping

The MCP Ruby SDK supports the
[MCP `ping` utility](https://modelcontextprotocol.io/specification/2025-11-25/basic/utilities/ping),
which allows either side of the connection to verify that the peer is still responsive.
A `ping` request has no parameters, and the receiver MUST respond promptly with an empty result.

#### Server-Side

Servers respond to incoming `ping` requests automatically - no setup is required.
Any `MCP::Server` instance replies with an empty result.

#### Client-Side

`MCP::Client` exposes `ping` to send a ping to the server:

```ruby
client = MCP::Client.new(transport: transport)
client.ping # => {} on success
```

`#ping` raises `MCP::Client::ServerError` when the server returns a JSON-RPC error.
It raises `MCP::Client::ValidationError` when the response `result` is missing or
is not a Hash (matching the spec requirement that `result` be an object).
Transport-level errors (for example, `MCP::Client::Stdio`'s `read_timeout:` firing)
propagate as exceptions raised by the transport layer.

### Progress

The MCP Ruby SDK supports progress tracking for long-running tool operations,
following the [MCP Progress specification](https://modelcontextprotocol.io/specification/latest/server/utilities/progress).

#### How Progress Works

1. **Client Request**: The client sends a `progressToken` in the `_meta` field when calling a tool
2. **Server Notification**: The server sends `notifications/progress` messages back to the client during tool execution
3. **Tool Integration**: Tools call `server_context.report_progress` to report incremental progress

#### Server-Side: Tool with Progress

Tools that accept a `server_context:` parameter can call `report_progress` on it.
The server automatically wraps the context in an `MCP::ServerContext` instance that provides this method:

```ruby
class LongRunningTool < MCP::Tool
description "A tool that reports progress during execution"
input_schema(
properties: {
count: { type: "integer" },
},
required: ["count"]
)

def self.call(count:, server_context:)
count.times do |i|
# Do work here.
server_context.report_progress(i + 1, total: count, message: "Processing item #{i + 1}")
end

MCP::Tool::Response.new([{ type: "text", text: "Done" }])
end
end
```

The `server_context.report_progress` method accepts:

- `progress` (required) — current progress value (numeric)
- `total:` (optional) — total expected value, so clients can display a percentage
- `message:` (optional) — human-readable status message

**Key Features:**

- Tools report progress via `server_context.report_progress`
- `report_progress` is a no-op when no `progressToken` was provided by the client
- Supports both numeric and string progress tokens

### Completions

MCP spec includes [Completions](https://modelcontextprotocol.io/specification/latest/server/utilities/completion),
which enable servers to provide autocompletion suggestions for prompt arguments and resource URIs.

To enable completions, declare the `completions` capability and register a handler:

```ruby
server = MCP::Server.new(
name: "my_server",
prompts: [CodeReviewPrompt],
resource_templates: [FileTemplate],
capabilities: { completions: {} },
)

server.completion_handler do |params|
ref = params[:ref]
argument = params[:argument]
value = argument[:value]

case ref[:type]
when "ref/prompt"
values = case argument[:name]
when "language"
["python", "pytorch", "pyside"].select { |v| v.start_with?(value) }
else
[]
end
{ completion: { values: values, hasMore: false } }
when "ref/resource"
{ completion: { values: [], hasMore: false } }
end
end
```

The handler receives a `params` hash with:

- `ref` - The reference (`{ type: "ref/prompt", name: "..." }` or `{ type: "ref/resource", uri: "..." }`)
- `argument` - The argument being completed (`{ name: "...", value: "..." }`)
- `context` (optional) - Previously resolved arguments (`{ arguments: { ... } }`)

The handler must return a hash with a `completion` key containing `values` (array of strings), and optionally `total` and `hasMore`.
The SDK automatically enforces the 100-item limit per the MCP specification.

The server validates that the referenced prompt, resource, or resource template is registered before calling the handler.
Requests for unknown references return an error.

### Elicitation

The MCP Ruby SDK supports [elicitation](https://modelcontextprotocol.io/specification/2025-11-25/client/elicitation),
which allows servers to request additional information from users through the client during tool execution.

Elicitation is a **server-to-client request**. The server sends a request and blocks until the user responds via the client.

#### Capabilities

Clients must declare the `elicitation` capability during initialization. The server checks this before sending any elicitation request
and raises a `RuntimeError` if the client does not support it.

For URL mode support, the client must also declare `elicitation.url` capability.

#### Using Elicitation in Tools

Tools that accept a `server_context:` parameter can call `create_form_elicitation` on it:

```ruby
server.define_tool(name: "collect_info", description: "Collect user info") do |server_context:|
result = server_context.create_form_elicitation(
message: "Please provide your name",
requested_schema: {
type: "object",
properties: { name: { type: "string" } },
required: ["name"],
},
)

MCP::Tool::Response.new([{ type: "text", text: "Hello, #{result[:content][:name]}" }])
end
```

#### Form Mode

Form mode collects structured data from the user directly through the MCP client:

```ruby
server.define_tool(name: "collect_contact", description: "Collect contact info") do |server_context:|
result = server_context.create_form_elicitation(
message: "Please provide your contact information",
requested_schema: {
type: "object",
properties: {
name: { type: "string", description: "Your full name" },
email: { type: "string", format: "email", description: "Your email address" },
},
required: ["name", "email"],
},
)

text = case result[:action]
when "accept"
"Hello, #{result[:content][:name]} (#{result[:content][:email]})"
when "decline"
"User declined"
when "cancel"
"User cancelled"
end

MCP::Tool::Response.new([{ type: "text", text: text }])
end
```

#### URL Mode

URL mode directs the user to an external URL for out-of-band interactions such as OAuth flows:

```ruby
server.define_tool(name: "authorize_github", description: "Authorize GitHub") do |server_context:|
elicitation_id = SecureRandom.uuid

result = server_context.create_url_elicitation(
message: "Please authorize access to your GitHub account",
url: "https://example.com/oauth/authorize?elicitation_id=#{elicitation_id}",
elicitation_id: elicitation_id,
)

server_context.notify_elicitation_complete(elicitation_id: elicitation_id)

MCP::Tool::Response.new([{ type: "text", text: "Authorization complete" }])
end
```

#### URLElicitationRequiredError

When a tool cannot proceed until an out-of-band elicitation is completed, raise `MCP::Server::URLElicitationRequiredError`.
This returns a JSON-RPC error with code `-32042` to the client:

```ruby
server.define_tool(name: "access_github", description: "Access GitHub") do |server_context:|
raise MCP::Server::URLElicitationRequiredError.new([
{
mode: "url",
elicitationId: SecureRandom.uuid,
url: "https://example.com/oauth/authorize",
message: "GitHub authorization is required.",
},
])
end
```

### Logging

The MCP Ruby SDK supports structured logging through the `notify_log_message` method, following the [MCP Logging specification](https://modelcontextprotocol.io/specification/latest/server/utilities/logging).

The `notifications/message` notification is used for structured logging between client and server.

#### Log Levels

The SDK supports 8 log levels with increasing severity:

- `debug` - Detailed debugging information
- `info` - General informational messages
- `notice` - Normal but significant events
- `warning` - Warning conditions
- `error` - Error conditions
- `critical` - Critical conditions
- `alert` - Action must be taken immediately
- `emergency` - System is unusable

#### How Logging Works

1. **Client Configuration**: The client sends a `logging/setLevel` request to configure the minimum log level
2. **Server Filtering**: The server only sends log messages at the configured level or higher severity
3. **Notification Delivery**: Log messages are sent as `notifications/message` to the client

For example, if the client sets the level to `"error"` (severity 4), the server will send messages with levels: `error`, `critical`, `alert`, and `emergency`.

For more details, see the [MCP Logging specification](https://modelcontextprotocol.io/specification/latest/server/utilities/logging).

**Usage Example:**

```ruby
server = MCP::Server.new(name: "my_server")
transport = MCP::Server::Transports::StdioTransport.new(server)

# The client first configures the logging level (on the client side):
transport.send_request(
request: {
jsonrpc: "2.0",
method: "logging/setLevel",
params: { level: "info" },
id: session_id # Unique request ID within the session
}
)

# Send log messages at different severity levels
server.notify_log_message(
data: { message: "Application started successfully" },
level: "info"
)

server.notify_log_message(
data: { message: "Configuration file not found, using defaults" },
level: "warning"
)

server.notify_log_message(
data: {
error: "Database connection failed",
details: { host: "localhost", port: 5432 }
},
level: "error",
logger: "DatabaseLogger" # Optional logger name
)
```

**Key Features:**

- Supports 8 log levels (debug, info, notice, warning, error, critical, alert, emergency) based on https://modelcontextprotocol.io/specification/2025-06-18/server/utilities/logging#log-levels
- Server has capability `logging` to send log messages
- Messages are only sent if a transport is configured
- Messages are filtered based on the client's configured log level
- If the log level hasn't been set by the client, no messages will be sent

#### Transport Support

- **stdio**: Notifications are sent as JSON-RPC 2.0 messages to stdout
- **Streamable HTTP**: Notifications are sent as JSON-RPC 2.0 messages over HTTP with streaming (chunked transfer or SSE)

#### Usage Example

```ruby
server = MCP::Server.new(name: "my_server")

# Default Streamable HTTP - session oriented
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server)

# When tools change, notify clients
server.define_tool(name: "new_tool") { |**args| { result: "ok" } }
server.notify_tools_list_changed
```

You can use Stateless Streamable HTTP, where notifications are not supported and all calls are request/response interactions.
This mode allows for easy multi-node deployment.
Set `stateless: true` in `MCP::Server::Transports::StreamableHTTPTransport.new` (`stateless` defaults to `false`):

```ruby
# Stateless Streamable HTTP - session-less
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, stateless: true)
```

You can enable JSON response mode, where the server returns `application/json` instead of `text/event-stream`.
Set `enable_json_response: true` in `MCP::Server::Transports::StreamableHTTPTransport.new`:

```ruby
# JSON response mode
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, enable_json_response: true)
```

In JSON response mode, the POST response is a single JSON object, so server-to-client messages
that need to arrive during request processing are not supported:
request-scoped notifications (`progress`, `log`) are silently dropped, and all server-to-client requests
(`sampling/createMessage`, `roots/list`, `elicitation/create`) raise an error.
Session-scoped standalone notifications (`resources/updated`, `elicitation/complete`) and
broadcast notifications (`tools/list_changed`, etc.) still flow to clients connected to the GET SSE stream.
This mode is suitable for simple tool servers that do not need server-initiated requests.

By default, sessions do not expire. To mitigate session hijacking risks, you can set a `session_idle_timeout` (in seconds).
When configured, sessions that receive no HTTP requests for this duration are automatically expired and cleaned up:

```ruby
# Session timeout of 30 minutes
transport = MCP::Server::Transports::StreamableHTTPTransport.new(server, session_idle_timeout: 1800)
```

### Pagination

The MCP Ruby SDK supports [pagination](https://modelcontextprotocol.io/specification/2025-11-25/server/utilities/pagination)
for list operations that may return large result sets. Pagination uses string cursor tokens carrying a zero-based offset,
treated as opaque by clients: the server decides page size, and the client follows `nextCursor` until the server omits it.

Pagination applies to `tools/list`, `prompts/list`, `resources/list`, and `resources/templates/list`.

#### Server-Side: Enabling Pagination

Pass `page_size:` to `MCP::Server.new` to split list responses into pages. When `page_size` is omitted (the default),
list responses contain all items in a single response, preserving the pre-pagination behavior.

```ruby
server = MCP::Server.new(
name: "my_server",
tools: tools,
page_size: 50,
)
```

When `page_size` is set, list responses include a `nextCursor` field whenever more pages are available:

```json
{
"jsonrpc": "2.0",
"id": 1,
"result": {
"tools": [
{ "name": "example_tool" }
],
"nextCursor": "50"
}
}
```

Invalid cursors (e.g. non-numeric, negative, or out-of-range) are rejected with JSON-RPC error code `-32602 (Invalid params)` per the MCP specification.

#### Client-Side: Iterating Pages

`MCP::Client` exposes `list_tools`, `list_prompts`, `list_resources`, and `list_resource_templates`.
**Each call issues exactly one `*/list` JSON-RPC request and returns exactly one page** — not the full collection.
The returned result object (`MCP::Client::ListToolsResult` etc.) exposes the page items and the next cursor as method accessors:

```ruby
client = MCP::Client.new(transport: transport)

cursor = nil
loop do
page = client.list_tools(cursor: cursor)
page.tools.each { |tool| process(tool) }
cursor = page.next_cursor
break unless cursor
end
```

The same pattern applies to `list_prompts` (`page.prompts`), `list_resources` (`page.resources`), and
`list_resource_templates` (`page.resource_templates`). `next_cursor` is `nil` on the final page.

Because a single call returns a single page, how many items come back depends on the server's `page_size` configuration:

| Server `page_size` | `client.list_tools(cursor: nil)` |
|--------------------|---------------------------------------------------------------------|
| Not set (default) | Returns every item in one response. `next_cursor` is `nil`. |
| Set to `N` | Returns the first `N` items. `next_cursor` is set for continuation. |

If your application needs the complete collection regardless of how the server is configured, either loop on
`next_cursor` as shown above, or use the whole-collection methods described below.

#### Fetching the Complete Collection

`client.tools`, `client.resources`, `client.resource_templates`, and `client.prompts` auto-iterate
through all pages and return a plain array of items, guaranteeing the full collection regardless
of the server's `page_size` setting. When a server paginates, they issue multiple JSON-RPC round
trips per call and break out of the pagination loop if the server returns the same `nextCursor`
twice in a row as a safety measure.

```ruby
tools = client.tools # => Array of every tool on the server.
```

Use these when you want the complete list; use `list_tools(cursor:)` etc. when you need
fine-grained iteration (e.g. to stream-process pages without loading everything into memory).

### Advanced

#### Custom Methods

The server allows you to define custom JSON-RPC methods beyond the standard MCP protocol methods using the `define_custom_method` method:

```ruby
server = MCP::Server.new(name: "my_server")

# Define a custom method that returns a result
server.define_custom_method(method_name: "add") do |params|
params[:a] + params[:b]
end

# Define a custom notification method (returns nil)
server.define_custom_method(method_name: "notify") do |params|
# Process notification
nil
end
```

**Key Features:**

- Accepts any method name as a string
- Block receives the request parameters as a hash
- Can handle both regular methods (with responses) and notifications
- Prevents overriding existing MCP protocol methods
- Supports instrumentation callbacks for monitoring

**Usage Example:**

```ruby
# Client request
{
"jsonrpc": "2.0",
"id": 1,
"method": "add",
"params": { "a": 5, "b": 3 }
}

# Server response
{
"jsonrpc": "2.0",
"id": 1,
"result": 8
}
```

**Error Handling:**

- Raises `MCP::Server::MethodAlreadyDefinedError` if trying to override an existing method
- Supports the same exception reporting and instrumentation as standard methods

## Building an MCP Client

The `MCP::Client` class provides an interface for interacting with MCP servers.

This class supports:

- Liveness check via the `ping` method (`MCP::Client#ping`)
- Tool listing via the `tools/list` method (`MCP::Client#tools`)
- Tool invocation via the `tools/call` method (`MCP::Client#call_tools`)
- Resource listing via the `resources/list` method (`MCP::Client#resources`)
- Resource template listing via the `resources/templates/list` method (`MCP::Client#resource_templates`)
- Resource reading via the `resources/read` method (`MCP::Client#read_resources`)
- Prompt listing via the `prompts/list` method (`MCP::Client#prompts`)
- Prompt retrieval via the `prompts/get` method (`MCP::Client#get_prompt`)
- Completion requests via the `completion/complete` method (`MCP::Client#complete`)
- Automatic JSON-RPC 2.0 message formatting
- UUID request ID generation

Clients are initialized with a transport layer instance that handles the low-level communication mechanics.
Authorization is handled by the transport layer.

## Transport Layer Interface

If the transport layer you need is not included in the gem, you can build and pass your own instances so long as they conform to the following interface:

```ruby
class CustomTransport
# Sends a JSON-RPC request to the server and returns the raw response.
#
# @param request [Hash] A complete JSON-RPC request object.
# https://www.jsonrpc.org/specification#request_object
# @return [Hash] A hash modeling a JSON-RPC response object.
# https://www.jsonrpc.org/specification#response_object
def send_request(request:)
# Your transport-specific logic here
# - HTTP: POST to endpoint with JSON body
# - WebSocket: Send message over WebSocket
# - stdio: Write to stdout, read from stdin
# - etc.
end
end
```

### Stdio Transport Layer

Use the `MCP::Client::Stdio` transport to interact with MCP servers running as subprocesses over standard input/output.

`MCP::Client::Stdio.new` accepts the following keyword arguments:

| Parameter | Required | Description |
|---|---|---|
| `command:` | Yes | The command to spawn the server process (e.g., `"ruby"`, `"bundle"`, `"npx"`). |
| `args:` | No | An array of arguments passed to the command. Defaults to `[]`. |
| `env:` | No | A hash of environment variables to set for the server process. Defaults to `nil`. |
| `read_timeout:` | No | Timeout in seconds for waiting for a server response. Defaults to `nil` (no timeout). |

Example usage:

```ruby
stdio_transport = MCP::Client::Stdio.new(
command: "bundle",
args: ["exec", "ruby", "path/to/server.rb"],
env: { "API_KEY" => "my_secret_key" },
read_timeout: 30
)
client = MCP::Client.new(transport: stdio_transport)

# List available tools.
tools = client.tools
tools.each do |tool|
puts "Tool: #{tool.name} - #{tool.description}"
end

# Call a specific tool.
response = client.call_tool(
tool: tools.first,
arguments: { message: "Hello, world!" }
)

# Close the transport when done.
stdio_transport.close
```

The stdio transport automatically handles:

- Spawning the server process with `Open3.popen3`
- MCP protocol initialization handshake (`initialize` request + `notifications/initialized`)
- JSON-RPC 2.0 message framing over newline-delimited JSON

### HTTP Transport Layer

Use the `MCP::Client::HTTP` transport to interact with MCP servers using simple HTTP requests.

You'll need to add `faraday` as a dependency in order to use the HTTP transport layer. Add `event_stream_parser` as well if the server uses SSE (`text/event-stream`) responses:

```ruby
gem 'mcp'
gem 'faraday', '>= 2.0'
gem 'event_stream_parser', '>= 1.0' # optional, required only for SSE responses
```

Example usage:

```ruby
http_transport = MCP::Client::HTTP.new(url: "https://api.example.com/mcp")
client = MCP::Client.new(transport: http_transport)

# List available tools
tools = client.tools
tools.each do |tool|
puts <<~TOOL_INFORMATION
Tool: #{tool.name}
Description: #{tool.description}
Input Schema: #{tool.input_schema}
TOOL_INFORMATION
end

# Call a specific tool
response = client.call_tool(
tool: tools.first,
arguments: { message: "Hello, world!" }
)

# Call a tool with progress tracking.
response = client.call_tool(
tool: tools.first,
arguments: { count: 10 },
progress_token: "my-progress-token"
)
```

The server will send `notifications/progress` back to the client during execution.

#### HTTP Authorization

By default, the HTTP transport layer provides no authentication to the server, but you can provide custom headers if you need authentication. For example, to use Bearer token authentication:

```ruby
http_transport = MCP::Client::HTTP.new(
url: "https://api.example.com/mcp",
headers: {
"Authorization" => "Bearer my_token"
}
)

client = MCP::Client.new(transport: http_transport)
client.tools # will make the call using Bearer auth
```

You can add any custom headers needed for your authentication scheme, or for any other purpose. The client will include these headers on every request.

#### Customizing the Faraday Connection

You can pass a block to `MCP::Client::HTTP.new` to customize the underlying Faraday connection.
The block is called after the default middleware is configured, so you can add middleware or swap the HTTP adapter:

```ruby
http_transport = MCP::Client::HTTP.new(url: "https://api.example.com/mcp") do |faraday|
faraday.use MyApp::Middleware::HttpRecorder
faraday.adapter :typhoeus
end
```

### Tool Objects

The client provides a wrapper class for tools returned by the server:

- `MCP::Client::Tool` - Represents a single tool with its metadata

This class provides easy access to tool properties like name, description, input schema, and output schema.

## Conformance Testing

The `conformance/` directory contains a test server and runner that validate the SDK against the MCP specification using [`@modelcontextprotocol/conformance`](https://github.com/modelcontextprotocol/conformance).

See [conformance/README.md](conformance/README.md) for usage instructions.

## Documentation

- [SDK API documentation](https://rubydoc.info/gems/mcp)
- [Model Context Protocol documentation](https://modelcontextprotocol.io)

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