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mcp-telegram

MCP.Pizza Chef: dryeab

mcp-telegram is an MCP server that connects Large Language Models to Telegram, enabling AI agents to send, receive, and manage Telegram messages and interactions programmatically. Built on Telethon, it provides structured, real-time access to Telegram chats, allowing LLMs to perform multi-step reasoning and actions within the Telegram environment securely and efficiently.

Use This MCP server To

Automate Telegram message sending and responses via LLMs Enable AI agents to manage Telegram group chats Extract and summarize Telegram chat conversations Trigger workflows based on Telegram message content Integrate Telegram interactions into AI-enhanced workflows Monitor Telegram channels for specific keywords or events Facilitate multi-turn conversations with Telegram users via LLMs

README

MCP Telegram Logo

Enable LLMs to control your Telegram

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Connect Large Language Models to Telegram via the Model Context Protocol (MCP).

Built with Telethon, this server allows AI agents to interact with Telegram, enabling features like sending/editing/deleting messages, searching chats, managing drafts, downloading media, and more using the MTProto.


Table of Contents

🚀 Getting Started

Prerequisites

Installation

Install the mcp-telegram CLI tool:

uv tool install mcp-telegram

⚙️ Usage

Important

Please ensure you have read and understood Telegram's ToS before using this tool. Misuse of this tool may result in account restrictions.

The mcp-telegram command-line tool is your entry point.

mcp-telegram --help # See all commands

Login

First, authenticate with your Telegram account:

mcp-telegram login

This interactive command will prompt you for:

  • API ID & API Hash: Obtain these from my.telegram.org/apps.
  • Phone Number: Your Telegram-registered phone number (international format, e.g., +1234567890).
  • Verification Code: Sent to your Telegram account upon first login.
  • 2FA Password: If you have Two-Factor Authentication enabled.

Your credentials are securely stored in the session file for future use.

Warning

Keep your API credentials private and never share them publicly

Note

Use mcp-telegram logout to logout from current session or mcp-telegram clear-session to remove all stored session data.

Connect to the MCP server

To use MCP Telegram with MCP clients like Claude Desktop or Cursor, you'll need to configure the MCP server. The configuration process varies by client and operating system.

For detailed setup instructions, please refer to:

The configuration file should contain:

{
  "mcpServers": {
    "mcp-telegram": {
      "command": "mcp-telegram" /* Use full path if client can't find the command (e.g. "/usr/local/bin/mcp-telegram"). See IMPORTANT section below for full path instructions. */,
      "args": ["start"],
      "env": {
        "API_ID": "<your_api_id>",
        "API_HASH": "<your_api_hash>"
      }
    }
  }
}

Note

Configuration paths vary by OS and client. For example:

  • macOS: ~/Library/Application Support/Claude/ or ~/.cursor/
  • Windows: %APPDATA%\Claude\ or %APPDATA%\Cursor\

Important

If your client cannot execute mcp-telegram despite it being accessible in the terminal, try using the full path to the executable. You can find this by running which mcp-telegram (macOS/Linux) or where mcp-telegram (Windows) in your terminal. Replace the command value in the configuration with the full path.

After saving the configuration file, restart your application.

🧰 Available Tools

Here's a comprehensive list of tools you can use to interact with Telegram through MCP:

📨 Messaging Tools

Tool Description
send_message ✉️ Send text messages or files to any user, group, or channel
edit_message ✏️ Modify content of previously sent messages
delete_message 🗑️ Remove one or multiple messages
get_messages 📜 Retrieve message history with advanced filtering options

🔍 Search & Navigation

Tool Description
search_dialogs 🔎 Find users, groups, and channels by name or username
message_from_link 🔗 Access specific messages using Telegram links

📝 Draft Management

Tool Description
get_draft 📋 View current message draft for any chat
set_draft ✍️ Create or clear message drafts

📂 Media Handling

Tool Description
media_download 📸 Download photos, videos, and documents from messages

Note

For detailed parameter information and example use cases, run mcp-telegram tools in your terminal.

🛠️ Troubleshooting

Database Locked Errors

Running multiple mcp-telegram instances using the same session file can cause database is locked errors due to Telethon's SQLite session storage. Ensure only one instance uses a session file at a time.

Force-Stopping Existing Processes

If you need to stop potentially stuck processes:

  • macOS / Linux: pkill -f "mcp-telegram"
  • Windows: taskkill /F /IM mcp-telegram.exe /T (Check Task Manager for the exact process name)

🤝 Contributing

We welcome contributions! If you'd like to help improve MCP Telegram, please feel free to submit issues, feature requests, or pull requests. Your feedback and contributions help make this project better for everyone.

📝 License

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


Made with ❤️ by Yeabsira Driba

mcp-telegram FAQ

How do I install mcp-telegram?
You can install mcp-telegram via PyPI using 'pip install mcp-telegram'.
What Telegram API library does mcp-telegram use?
It uses Telethon, a popular Python library for interacting with the Telegram API.
Can mcp-telegram handle group chats and channels?
Yes, it supports interactions in both private chats, group chats, and channels.
Is mcp-telegram compatible with multiple LLM providers?
Yes, it works with any MCP-compatible LLMs including OpenAI, Claude, and Gemini.
How does mcp-telegram ensure secure interactions?
It leverages MCP's built-in principles for scoped and observable model interactions to maintain security.
Can I customize the behavior of AI agents using mcp-telegram?
Yes, you can programmatically define how LLMs respond and act within Telegram through MCP client logic.
Does mcp-telegram support real-time message streaming?
Yes, it provides real-time access to Telegram messages for immediate LLM processing.
What platforms can I run mcp-telegram on?
It runs on any platform that supports Python and Telethon, including Linux, macOS, and Windows.