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MCP Telegram

Community
dryeab

MCP Server for Telegram

Publisherdryeab
Repositorymcp-telegram
LanguagePython
Forks
38
Stars
252
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    MCP Telegram exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    252 stars and 38 forks from the linked repository.

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.



🚀 Getting Started

Prerequisites

Installation

Install the mcp-telegram CLI tool:

bash
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.

bash
mcp-telegram --help # See all commands

Login

First, authenticate with your Telegram account:

bash
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:

json
{
  "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

ToolDescription
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

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

📝 Draft Management

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

📂 Media Handling

ToolDescription
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.

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.


Installation

TypingMind
{
  "mcpServers": {
    "mcp-telegram": {
      "command": "mcp-telegram",
      "args": [
        "start"
      ],
      "env": {
        "API_ID": "<API_ID>",
        "API_HASH": "<API_HASH>"
      }
    }
  }
}

Use MCP Telegram MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once MCP Telegram is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add MCP Telegram as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the MCP Telegram MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "mcp-telegram": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the MCP Telegram MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the MCP Telegram MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use MCP Telegram to help me with this task?
MCP Telegram
Sure. I read it.
Here is what I found using MCP Telegram.

Frequently asked questions

What is the MCP Telegram MCP server used for?

MCP Telegram is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use MCP Telegram MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use MCP Telegram with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use MCP Telegram MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With MCP Telegram connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect MCP Telegram MCP to TypingMind?

MCP Telegram runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does MCP Telegram MCP provide in TypingMind?

MCP Telegram exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use MCP Telegram MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If MCP Telegram requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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