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- mcp-telegram
Mcp Telegram
What is Mcp Telegram
mcp-telegram is a TypeScript implementation of an MCP (Model Context Protocol) server designed for interacting with Telegram using the MTProto protocol. It is built using FastMCP and provides tools for AI models like Claude to communicate with Telegram.
Use cases
Use cases for mcp-telegram include building AI-powered chatbots that interact with users on Telegram, automating responses in Telegram channels, and integrating Telegram functionalities into AI applications.
How to use
To use mcp-telegram, install the dependencies using ‘npm install’, build the project with ‘npm run build’, and then sign in to Telegram using ‘npm run sign-in’. Start the MCP server with ‘npm run mcp’ and configure it using various CLI options or environment variables.
Key features
Key features of mcp-telegram include support for multiple transport types (stdio, http, sse), customizable server endpoints, and integration with Telegram’s MTProto protocol for AI model interactions.
Where to use
mcp-telegram can be used in fields such as AI development, chatbots, and any application requiring interaction with Telegram through AI models.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Telegram
mcp-telegram is a TypeScript implementation of an MCP (Model Context Protocol) server designed for interacting with Telegram using the MTProto protocol. It is built using FastMCP and provides tools for AI models like Claude to communicate with Telegram.
Use cases
Use cases for mcp-telegram include building AI-powered chatbots that interact with users on Telegram, automating responses in Telegram channels, and integrating Telegram functionalities into AI applications.
How to use
To use mcp-telegram, install the dependencies using ‘npm install’, build the project with ‘npm run build’, and then sign in to Telegram using ‘npm run sign-in’. Start the MCP server with ‘npm run mcp’ and configure it using various CLI options or environment variables.
Key features
Key features of mcp-telegram include support for multiple transport types (stdio, http, sse), customizable server endpoints, and integration with Telegram’s MTProto protocol for AI model interactions.
Where to use
mcp-telegram can be used in fields such as AI development, chatbots, and any application requiring interaction with Telegram through AI models.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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 IDTELEGRAM_API_HASH: Your Telegram API HashTRANSPORT_TYPE: Transport type (‘stdio’, ‘http’, or ‘sse’), defaults to ‘stdio’PORT: Port for HTTP or SSE transports, defaults to 3000ENDPOINT: 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 fromunread: 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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










