mcp-telegram
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-telegramwhat are my unread messages?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-telegram
MCP (Model Context Protocol) server that connects Claude Desktop, Claude Code or Cursor to your personal Telegram account. Ask your AI assistant in plain language:
«Что мне написали за утро? Суммаризируй рабочий чат.» «Найди сообщение, где Иван скидывал адрес офиса.» «Ответь Ивану, что буду в 15:00.»
The assistant picks the right tool, your account does the work.
Tools
Tool | What it does |
| Recent chats, optionally only ones with unread messages |
| Last N messages of a chat (by name, @username or id) |
| Full-text search in one chat or across all chats |
| Send a text message (only when you explicitly ask) |
Built on the official MCP Python SDK (FastMCP) and Telethon (MTProto — your real account, not a bot; bots can't read your own chats).
Related MCP server: telegram-mcp
Setup
1. Get Telegram API credentials (2 minutes, one time):
go to my.telegram.org → API development tools →
create an app → copy api_id and api_hash.
2. Install and log in:
git clone https://github.com/StepanCEO/mcp-telegram
cd mcp-telegram
pip install -r requirements.txt
cp .env.example .env # put api_id/api_hash there
python -m mcp_telegram.login # one-time: phone number + code from TelegramThe login creates a session file (~/.mcp-telegram.session); after that the
server runs non-interactively.
3. Wire it into your client.
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"telegram": {
"command": "python",
"args": ["-m", "mcp_telegram"],
"cwd": "C:/path/to/mcp-telegram"
}
}
}Claude Code:
claude mcp add telegram -- python -m mcp_telegramCursor (.cursor/mcp.json) — same shape as Claude Desktop.
Restart the client — the telegram tools appear automatically.
Security notes
The session file grants full access to your account — it stays on your machine, is never sent anywhere, and is
.gitignored. Treat it like a password.send_messageis described to the model as "use only when the user explicitly asks", and MCP clients ask for your confirmation before tool calls by default.This is your personal account: respect Telegram's terms — no spam, no mass messaging.
Tests
pip install pytest pytest-asyncio
pytestTests run against a fake Telethon client — no network or real account needed. They cover unread filtering, message ordering, search, sending, and chat-id parsing.
Project structure
mcp_telegram/
├── server.py # MCP tools (FastMCP, stdio transport)
├── service.py # Telegram operations + formatting (testable core)
├── login.py # one-time interactive sign-in
└── config.py # .env settings
tests/
└── test_service.pyLicense
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Let Claude or ChatGPT search, read and send your WhatsApp messages over MCP. OAuth sign-in.
Telegram bridge for your MCP-compatible agent. Bidirectional, no LLM in our stack.
Unified inbox MCP for WhatsApp, Telegram, Email, voice — read/send messages, search, AI agents.
- QuallaaOAuthcom.quallaa
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
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- FlicenseNot gradedqualityBmaintenanceEnables AI agents to control a real Telegram user account via MTProto, allowing message sending, chat reading/searching, and message management through MCP tools.21 npm-
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