MCP Telegram

A TypeScript implementation of an MCP (Model Context Protocol) server for working with Telegram through MTProto, built using FastMCP.

Overview

This project provides a set of tools for interacting with Telegram through the MTProto protocol, making them available via an MCP server for use with AI models like Claude.

Installation

# Install dependencies
npm install

# Build the project
npm run build

Usage

CLI Commands

The application provides the following CLI commands:

# Sign in to Telegram
npm run sign-in
# or
npx mcp-telegram sign-in

# Start the MCP server
npm run mcp
# or 
npx mcp-telegram mcp [options]

# Logout from Telegram
npm run logout
# or
npx mcp-telegram logout

CLI Options for the mcp command:

• -t, --transport <type>: Transport type (stdio, sse), defaults to 'stdio'
• -p, --port <number>: Port for HTTP/SSE transport, defaults to 3000
• -e, --endpoint <path>: Endpoint for SSE transport, defaults to 'mcp'

Starting the MCP Server

Start the MCP server with stdio transport (default, used by Cursor AI):

npm run start
# or
npm run mcp

You can also run the server programmatically:

import server, { startServer } from 'mcp-telegram';

// Start the server with the configuration
startServer(server);

Environment Variables

The application uses the following environment variables:

• TELEGRAM_API_ID: Your Telegram API ID
• TELEGRAM_API_HASH: Your Telegram API Hash
• TRANSPORT_TYPE: Transport type ('stdio', 'http', or 'sse'), defaults to 'stdio'
• PORT: Port for HTTP or SSE transports, defaults to 3000
• ENDPOINT: Endpoint for SSE transport, defaults to 'mcp'
• LOG_LEVEL: Logging level, defaults to 'info'

These can be set in a .env file in the project root.

Development

Development requires Node.js version 18 or higher.

# Run in development mode
npm run dev

# Lint the code
npm run lint

# Run tests
npm run test

FastMCP Integration

The server is implemented using FastMCP, which provides a modern TypeScript implementation of the Model Context Protocol. It supports stdio and SSE transports, making it compatible with different client integration approaches.

Server Transports

• stdio: Default transport, useful for direct integration with tools like Cursor AI
• sse: Server-Sent Events transport for real-time communication

Available Tools

listDialogs

List available dialogs, chats and channels.

Parameters:

• unread: Boolean, show only unread dialogs (default: false)
• archived: Boolean, include archived dialogs (default: false)
• ignorePinned: Boolean, ignore pinned dialogs (default: false)

listMessages

List messages in a given dialog, chat or channel.

Parameters:

• dialogId: String, ID of the dialog to list messages from
• unread: Boolean, show only unread messages (default: false)
• limit: Number, maximum number of messages to retrieve (default: 100)

Project Structure

src/
├── config.ts               # Application configuration
├── index.ts                # Main server implementation
├── mcp.ts                  # CLI entry point
├── tools/                  # Tool implementations
│   ├── index.ts            # Tools export
│   └── telegramTools.ts    # Telegram tools
├── lib/           # Core Telegram functionality
│   ├── index.ts            # Module exports
│   ├── telegram.ts         # Telegram client functionality
└── utils/                  # Utilities
    ├── errorHandler.ts     # Error handling utilities
    └── logger.ts           # Logging utility

License

This project is licensed under the MIT License - see the LICENSE file for details.