DecipherMCP

# MCP Starter for Puch AI This is a starter template for creating your own Model Context Protocol (MCP) server that works with Puch AI. It comes with ready-to-use tools for job searching and image processing. ## What is MCP? MCP (Model Context Protocol) allows AI assistants like Puch to connect to external tools and data sources safely. Think of it like giving your AI extra superpowers without compromising security. ## What's Included in This Starter? ## Folders - **[`mcp-bearer-token/`](./mcp-bearer-token/)** Example MCP servers using **Bearer token** auth (required by Puch AI). Includes: - **[`mcp_starter.py`](./mcp-bearer-token/mcp_starter.py)** A minimal MCP server with: - Text input/output tool (echo-style processing) - Image input/output tool (e.g., convert to black & white) - Bearer token validation - **[`puch-user-id-mcp-example.py`](./mcp-bearer-token/puch-user-id-mcp-example.py)** A task management MCP server that demonstrates how to use `puch_user_id` (a unique, Puch-provided user identifier) to scope tasks and data per user. - **[`mcp-google-oauth/`](./mcp-google-oauth/)** Example MCP server showing how to implement **OAuth** with Google for MCP authentication/authorization. - **[`mcp-oauth-github/`](./mcp-oauth-github/)** Example MCP server showing how to implement **OAuth** with GitHub for MCP authentication/authorization. ## Quick Setup Guide ### Step 1: Install Dependencies First, make sure you have Python 3.11 or higher installed. Then: ```bash # Create virtual environment uv venv # Install all required packages uv sync # Activate the environment source .venv/bin/activate ``` ### Step 2: Set Up Environment Variables Create a `.env` file in the project root: ```bash # Copy the example file cp .env.example .env ``` Then edit `.env` and add your details: ```env AUTH_TOKEN=your_secret_token_here MY_NUMBER=919876543210 ``` **Important Notes:** - `AUTH_TOKEN`: This is your secret token for authentication. Keep it safe! - `MY_NUMBER`: Your WhatsApp number in format `{country_code}{number}` (e.g., `919876543210` for +91-9876543210) ### Step 3: Run the Server ```bash cd mcp-bearer-token python mcp_starter.py ``` You'll see: `🚀 Starting MCP server on http://0.0.0.0:8086` ### Step 4: Make It Public (Required by Puch) Since Puch needs to access your server over HTTPS, you need to expose your local server: #### Option A: Using ngrok (Recommended) 1. **Install ngrok:** Download from https://ngrok.com/download 2. **Get your authtoken:** - Go to https://dashboard.ngrok.com/get-started/your-authtoken - Copy your authtoken - Run: `ngrok config add-authtoken YOUR_AUTHTOKEN` 3. **Start the tunnel:** ```bash ngrok http 8086 ``` #### Option B: Deploy to Cloud You can also deploy this to services like: - Railway - Render - Heroku - DigitalOcean App Platform ## How to Connect with Puch AI 1. **[Open Puch AI](https://wa.me/+919998881729)** in your browser 2. **Start a new conversation** 3. **Use the connect command:** ``` /mcp connect https://your-domain.ngrok.app/mcp your_secret_token_here ``` ### Debug Mode To get more detailed error messages: ``` /mcp diagnostics-level debug ``` ## Customizing the Starter ### Adding New Tools 1. **Create a new tool function:** ```python @mcp.tool(description="Your tool description") async def your_tool_name( parameter: Annotated[str, Field(description="Parameter description")] ) -> str: # Your tool logic here return "Tool result" ``` 2. **Add required imports** if needed ## 📚 **Additional Documentation Resources** ### **Official Puch AI MCP Documentation** - **Main Documentation**: https://puch.ai/mcp - **Protocol Compatibility**: Core MCP specification with Bearer & OAuth support - **Command Reference**: Complete MCP command documentation - **Server Requirements**: Tool registration, validation, HTTPS requirements ### **Technical Specifications** - **JSON-RPC 2.0 Specification**: https://www.jsonrpc.org/specification (for error handling) - **MCP Protocol**: Core protocol messages, tool definitions, authentication ### **Supported vs Unsupported Features** **✓ Supported:** - Core protocol messages - Tool definitions and calls - Authentication (Bearer & OAuth) - Error handling **✗ Not Supported:** - Videos extension - Resources extension - Prompts extension ## Getting Help - **Join Puch AI Discord:** https://discord.gg/VMCnMvYx - **Check Puch AI MCP docs:** https://puch.ai/mcp - **Puch WhatsApp Number:** +91 99988 81729 --- **Happy coding! 🚀** Use the hashtag `#BuildWithPuch` in your posts about your MCP! This starter makes it super easy to create your own MCP server for Puch AI. Just follow the setup steps and you'll be ready to extend Puch with your custom tools!