https://github.com/quang-pham-dev/my-mcp-server
My MCP Server POC
https://github.com/quang-pham-dev/my-mcp-server
anthropic-ai-sdk cloudflare-workers honojs openai wrangler wrangler-cli zod
Last synced: about 1 month ago
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My MCP Server POC
- Host: GitHub
- URL: https://github.com/quang-pham-dev/my-mcp-server
- Owner: quang-pham-dev
- Created: 2025-03-28T04:30:12.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-03-28T04:36:39.000Z (about 1 month ago)
- Last Synced: 2025-03-28T05:25:21.840Z (about 1 month ago)
- Topics: anthropic-ai-sdk, cloudflare-workers, honojs, openai, wrangler, wrangler-cli, zod
- Language: TypeScript
- Homepage: https://my-mcp-server.quangpn-developer.workers.dev/
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MCP Server
A modern AI service proxy built with Cloudflare Workers and Hono framework, supporting multiple AI providers including Anthropic Claude and OpenAI.
## Features
- Multi-provider AI service integration (Anthropic Claude, OpenAI)
- Built on Cloudflare Workers for global edge deployment
- Fast and efficient request handling with Hono framework
- Type-safe implementation with TypeScript
- CORS support for cross-origin requests
- Health check and provider info endpoints
## Prerequisites
- Node.js (LTS version recommended)
- npm or pnpm package manager
- Cloudflare account for deployment
- API keys for supported AI providers
## Installation
1. Clone the repository
2. Install dependencies:
```bash
pnpm install
```
## Environment Setup
1. Copy the example environment file:
```bash
cp .env.example .env
```
2. Configure your environment variables in `.env` with your API keys and preferences
## Development
Start the development server:
```bash
pnpm run dev
```
The server will start in development mode with hot reloading enabled.
## Deployment
Deploy to Cloudflare Workers:
```bash
pnpm run deploy
```
## API Endpoints
### Health Check
- `GET /health`
- Returns server status and configuration
### Provider Info
- `GET /api/provider`
- Returns current AI provider and model configuration
### MCP API
- `POST /api/mcp`
- Main endpoint for AI service requests
- Accepts JSON payload with context, query, and options
## Project Structure
```
├── src/
│ ├── controllers/ # Request handlers
│ ├── models/ # Type definitions
│ ├── services/ # AI service implementations
│ └── index.ts # Main application entry
├── public/ # Static assets
└── wrangler.jsonc # Cloudflare Workers configuration
```
## License
MIT