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/
Example MCP servers using Bearer token auth (required by Puch AI). Includes: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
A task management MCP server that demonstrates how to usepuch_user_id
(a unique, Puch-provided user identifier) to scope tasks and data per user.
mcp-google-oauth/
Example MCP server showing how to implement OAuth with Google for MCP authentication/authorization.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:
Step 2: Set Up Environment Variables
Create a .env
file in the project root:
Then edit .env
and add your details:
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
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)
- Install ngrok: Download from https://ngrok.com/download
- Get your authtoken:
- Go to https://dashboard.ngrok.com/get-started/your-authtoken
- Copy your authtoken
- Run:
ngrok config add-authtoken YOUR_AUTHTOKEN
- Start the tunnel:
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
- Open Puch AI in your browser
- Start a new conversation
- Use the connect command:
Debug Mode
To get more detailed error messages:
Customizing the Starter
Adding New Tools
- Create a new tool function:
- 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!
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A starter template for creating Model Context Protocol servers that work with Puch AI. Includes ready-to-use tools for text processing, image manipulation, and demonstrates Bearer token and OAuth authentication patterns.
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