https://github.com/marklearst/mcp-chat-cli
MCP Chat is a command-line interface application that enables interactive chat capabilities with AI models through the Anthropic API. The application supports document retrieval, command-based prompts, and extensible tool integrations via the MCP (Model Control Protocol) architecture.
https://github.com/marklearst/mcp-chat-cli
Last synced: 2 months ago
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MCP Chat is a command-line interface application that enables interactive chat capabilities with AI models through the Anthropic API. The application supports document retrieval, command-based prompts, and extensible tool integrations via the MCP (Model Control Protocol) architecture.
- Host: GitHub
- URL: https://github.com/marklearst/mcp-chat-cli
- Owner: marklearst
- License: mit
- Created: 2025-11-10T02:51:41.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-11-10T04:34:14.000Z (4 months ago)
- Last Synced: 2025-11-10T06:14:14.857Z (4 months ago)
- Language: Python
- Size: 30.3 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MCP Chat
MCP Chat is a command-line interface application that enables interactive chat capabilities with AI models through the Anthropic API. The application supports document retrieval, command-based prompts, and extensible tool integrations via the MCP (Model Control Protocol) architecture.
## Prerequisites
- Python 3.9+
- Anthropic API Key
## Setup
### Step 1: Configure the environment variables
1. Create or edit the `.env` file in the project root and verify that the following variables are set correctly:
```
ANTHROPIC_API_KEY="" # Enter your Anthropic API secret key
```
### Step 2: Install dependencies
#### Option 1: Setup with uv (Recommended)
[uv](https://github.com/astral-sh/uv) is a fast Python package installer and resolver.
1. Install uv, if not already installed:
```bash
pip install uv
```
2. Create and activate a virtual environment:
```bash
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
```
3. Install dependencies:
```bash
uv pip install -e .
```
4. Run the project
```bash
uv run main.py
```
#### Option 2: Setup without uv
1. Create and activate a virtual environment:
```bash
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
```
2. Install dependencies:
```bash
pip install anthropic python-dotenv prompt-toolkit "mcp[cli]==1.8.0"
```
3. Run the project
```bash
python main.py
```
## Usage
### Basic Interaction
Simply type your message and press Enter to chat with the model.
### Document Retrieval
Use the @ symbol followed by a document ID to include document content in your query:
```
> Tell me about @deposition.md
```
### Commands
Use the / prefix to execute commands defined in the MCP server:
```
> /summarize deposition.md
```
Commands will auto-complete when you press Tab.
## Development
### Adding New Documents
Edit the `mcp_server.py` file to add new documents to the `docs` dictionary.
### Implementing MCP Features
To fully implement the MCP features:
1. Complete the TODOs in `mcp_server.py`
2. Implement the missing functionality in `mcp_client.py`
### Linting and Typing Check
There are no lint or type checks implemented.