aiogram-mcp

aiogram-mcp

MCP server middleware for aiogram Telegram bots — 30 tools, 7 resources, 3 prompts covering messaging, rich media, moderation, interactive keyboards, real-time event streaming, rate limiting, permissions, and audit logging.

Category
Visit Server

README

aiogram-mcp

CI Python 3.10+ License: MIT PyPI version MCP Registry

<!-- mcp-name: io.github.Py2755/aiogram-mcp -->

Connect your Telegram bot to AI agents via the Model Context Protocol.

aiogram-mcp turns any aiogram bot into an MCP server. AI clients like Claude Desktop can then send messages, read chat history, build interactive menus, and react to events in real time — all through your existing bot, without rewriting a single handler.

Why aiogram-mcp?

Most Telegram MCP servers are thin wrappers with 3-5 tools. aiogram-mcp goes further:

  • 30 tools — messaging, rich media, moderation, interactive keyboards, event subscriptions, broadcasting
  • 7 resources — bot info, config, chat lists, message history, event queue, file metadata, audit log
  • 3 prompts — ready-made moderation, announcement, and user report workflows
  • Structured output — every tool returns typed Pydantic models with outputSchema for programmatic parsing
  • Real-time events — the bot pushes Telegram events to AI clients via MCP notifications (no polling)
  • Interactive messages — AI agents create inline keyboard menus, handle button presses, edit messages
  • Rate limiting — built-in token bucket prevents Telegram 429 errors
  • Permission levels — restrict AI agents to read-only, messaging, moderation, or full admin access
  • Audit logging — track every tool invocation with timestamps and arguments
  • Zero rewrite — add 5 lines to your existing bot, keep all your handlers

How It Works

Telegram users                Your aiogram bot              AI agent (Claude Desktop)
      |                             |                              |
      |  send messages, tap buttons |                              |
      | --------------------------> |                              |
      |                             |  MCP server (stdio or SSE)   |
      |                             | <------------------------->  |
      |                             |  tools / resources / events  |
      |                             |                              |
      |  bot replies, shows menus   |   send_message, edit, ban    |
      | <-------------------------- | <--------------------------- |

The bot runs normally for Telegram users. The MCP server runs alongside it, giving AI agents access to the same bot via tools and resources.

Installation

pip install aiogram-mcp

Requires Python 3.10+ and aiogram 3.20+.

Quickstart

1. Add aiogram-mcp to your bot

import asyncio
from aiogram import Bot, Dispatcher
from aiogram_mcp import AiogramMCP, EventManager, MCPMiddleware

bot = Bot(token="YOUR_BOT_TOKEN")
dp = Dispatcher()

# Middleware tracks chats, users, message history, and events
event_manager = EventManager()
middleware = MCPMiddleware(event_manager=event_manager)
dp.message.middleware(middleware)
dp.callback_query.middleware(middleware)  # for interactive buttons

# Register your normal handlers here
# @dp.message(...)
# async def my_handler(message): ...

# Create the MCP server
mcp = AiogramMCP(
    bot=bot,
    dp=dp,
    name="my-bot",
    middleware=middleware,
    event_manager=event_manager,
    allowed_chat_ids=[123456789],  # optional: restrict which chats AI can access
)

async def main():
    await mcp.run_alongside_bot(transport="stdio")

asyncio.run(main())

2. Connect Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "my-telegram-bot": {
      "command": "python",
      "args": ["path/to/your/bot.py"],
      "env": {
        "BOT_TOKEN": "123456:ABC-DEF..."
      }
    }
  }
}

Now Claude can send messages, read history, create button menus, and react to events in your Telegram bot.

Built-in Tools

Messaging (5 tools)

Tool Description
send_message Send text with HTML/Markdown formatting
send_photo Send a photo by URL with optional caption
forward_message Forward a message between chats
delete_message Delete a message
pin_message Pin a message in a chat

Interactive Messages (3 tools)

Tool Description
send_interactive_message Send a message with inline keyboard buttons (callback or URL)
edit_message Edit text and/or keyboard of an existing message
answer_callback_query Respond to a button press with a toast or alert

Users (3 tools)

Tool Description
get_bot_info Get bot metadata (username, capabilities)
get_chat_member_info Get a user's role and profile in a chat
get_user_profile_photos Get a user's profile photos

Chats (6 tools)

Tool Description
get_chat_info Get chat metadata (title, type, description)
get_chat_members_count Get number of members in a chat
ban_user Ban a user (permanent or temporary)
unban_user Unban a user
set_chat_title Change the chat title
set_chat_description Change the chat description

Rich Media (10 tools)

Tool Description
send_document Send a file/document by URL with optional caption
send_voice Send a voice message by URL
send_video Send a video by URL with optional caption
send_animation Send a GIF/animation by URL
send_audio Send audio/music by URL with performer and title
send_sticker Send a sticker by file_id or URL
send_video_note Send a round video note by URL
send_contact Send a contact with phone number and name
send_location Send a geolocation pin
send_poll Create a poll with multiple options

Events (2 tools)

Tool Description
subscribe_events Subscribe to real-time events with chat/type filters
unsubscribe_events Remove a subscription

Broadcast (1 tool, opt-in)

Tool Description
broadcast Send a message to multiple chats (requires enable_broadcast=True)

MCP Resources

Read-only data that AI agents can access without calling tools:

URI Description
telegram://bot/info Bot username, ID, and capabilities
telegram://config Server name and allowed chat IDs
telegram://chats List of active chats with metadata
telegram://chats/{chat_id}/history Last 50 messages in a chat
telegram://events/queue Event queue with auto-incrementing IDs
telegram://files/{file_id} File metadata (size, path, unique ID)
telegram://audit/log Audit log of tool invocations (opt-in)

MCP Prompts

Pre-built workflows that give AI agents structured context:

Prompt Arguments What it does
moderation_prompt chat_id, user_id, reason Fetches user info + message history, suggests warn/mute/ban
announcement_prompt topic, audience?, tone? Drafts a formatted Telegram announcement
user_report_prompt chat_id, user_id Compiles a full user activity report

Real-time Event Streaming

AI agents don't need to poll. The bot pushes events automatically:

Telegram message arrives
    → MCPMiddleware captures it
        → EventManager stores it (type: "message", "command", or "callback_query")
            → MCP notification sent to subscribed clients
                → AI agent reads telegram://events/queue

The AI agent calls subscribe_events once, then receives push notifications whenever new events match its filters.

Interactive Messages

AI agents can build full interactive UIs in Telegram — menus, confirmations, multi-step wizards:

The AI agent sends a message with buttons:

┌─────────────────────────┐
│ Confirm deployment?     │
│                         │
│  [✅ Yes]  [❌ No]      │
│  [📖 View docs]        │
└─────────────────────────┘

User taps a button → event appears in the queue → AI agent reacts:

┌─────────────────────────┐
│ ✅ Deployed!            │
│                         │
│  [📋 View logs]        │
└─────────────────────────┘

The bot needs dp.callback_query.middleware(middleware) to capture button presses.

Safety Controls

mcp = AiogramMCP(
    bot=bot,
    dp=dp,
    allowed_chat_ids=[123456789, -1001234567890],  # restrict AI access
    enable_broadcast=True,            # opt-in for broadcast tool
    max_broadcast_recipients=500,     # safety limit
)
  • allowed_chat_ids — AI can only interact with listed chats. Default: all chats.
  • enable_broadcast — broadcast tool is disabled by default as a safety measure.
  • max_broadcast_recipients — caps the number of chats in a single broadcast.

Advanced Configuration

Rate Limiting

mcp = AiogramMCP(
    bot=bot, dp=dp,
    rate_limit=30,  # requests/sec (default), 0 to disable
)

Built-in token bucket rate limiter prevents Telegram 429 errors. All outgoing API calls are automatically paced.

Permission Levels

mcp = AiogramMCP(
    bot=bot, dp=dp,
    permission_level="messaging",  # read + messaging tools only
)
Level Access
read Bot info, chat info, user profiles
messaging Read + send messages, photos, media, interactive messages
moderation Messaging + delete, pin, ban, unban, chat settings
admin Full access including broadcast and event subscriptions

Audit Log

mcp = AiogramMCP(
    bot=bot, dp=dp,
    enable_audit=True,
    audit_log_size=1000,
)

Every tool invocation is logged. Access via telegram://audit/log resource.

Examples

Example Transport Features
basic_bot.py stdio Full setup with middleware, events, and callback tracking
incident_alert_bot.py SSE Broadcast-enabled ops bot for incident notifications

Development

git clone https://github.com/Py2755/aiogram-mcp.git
cd aiogram-mcp
pip install -e ".[dev]"

pytest -v          # ~228 tests
ruff check aiogram_mcp tests examples
mypy aiogram_mcp   # strict mode

License

MIT. See LICENSE.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured