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How to integrate Telegram MCP with Autogen

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Telegram is a fast, secure cloud messaging app for individuals and groups. It offers robust privacy and real-time chat features.

18 Tools

Introduction

This guide walks you through connecting Telegram to AutoGen using the Composio tool router. By the end, you'll have a working Telegram agent that can send messages, share photos and documents, edit and forward messages, read chat history, and create polls through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Telegram account through Composio's Telegram MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Telegram with

Claude CodeCursorChatGPTClaude CoworkAntigravityOpenAI Agents SDKClaude Agent SDKGrok BotCodexKimi CodeGrok BuildVS CodeOpenCodeOpenClawHermesAtomic AgentPiDeepSeek HarnessCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIPydantic AI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Telegram
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Telegram tools
  • Run a live chat loop where you ask the agent to perform Telegram operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the Telegram MCP server, and what's possible with it?

The Telegram MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Telegram account. It provides structured and secure access to your chats and bot functionality, so your agent can send messages, manage conversations, retrieve chat data, and interact with users or groups on your behalf.

  • Automated message sending and editing: Let your agent send new messages or edit existing ones in any chat where your bot is present, making real-time communication a breeze.
  • Chat and group management: Effortlessly manage group chats by retrieving chat details, getting administrators, exporting invite links, or counting group members.
  • Advanced chat history and message handling: Ask your agent to fetch chat history, forward messages between chats, or delete messages for streamlined moderation and record-keeping.
  • Bot and user interaction: Enable the agent to answer callback queries from inline keyboards and fetch basic bot information for smarter, context-aware responses.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Telegram account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Telegram via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Telegram connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Telegram session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["telegram"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Telegram tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Telegram assistant agent with MCP tools
    agent = AssistantAgent(
        name="telegram_assistant",
        description="An AI assistant that helps with Telegram operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Telegram tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Telegram related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Telegram tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Telegram and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Telegram session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["telegram"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Telegram assistant agent with MCP tools
        agent = AssistantAgent(
            name="telegram_assistant",
            description="An AI assistant that helps with Telegram operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Telegram related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Telegram through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Telegram, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Telegram action and event your agent gets out of the box.

Answer Callback Query

Use this method to send answers to callback queries sent from inline keyboards.

Export Chat Invite Link

Generate a new primary invite link for a chat; any previously generated primary link is revoked.

Delete Message

Delete a message, including eligible service messages.

Edit Message

Edit the text of a message identified by chat and message ID or inline message ID.

Forward Message

Forward a message from one chat to another.

Get Chat Info

Get up to date information about the chat (current name of the user for one-on-one conversations, current username of a user, group or channel, etc.

Get Chat Administrators

Get a list of chat administrators, excluding other bots.

Get Chat History

Poll pending bot updates and filter the returned batch by chat ID or username; this is not complete chat history, and an empty filtered batch does not establish that the chat has no accessible messages.

Get Chat Member

Get a chat member's status/role (including the bot itself) to preflight permissions and troubleshoot 403/empty-history issues.

Get Chat Members Count

Get the number of members in a chat.

Get Bot Info

Get basic information about the bot using the Bot API getMe method, including its ID, name, username and available capability flags.

Get Updates

Receive incoming bot updates using long polling; an outgoing webhook must be removed first, and offsets confirm earlier updates.

Send Document

Send a general file to a Telegram chat using the Bot API.

Send Location

Send point on the map location to a Telegram chat using the Bot API.

Send Message

Send a text message to a Telegram chat using the Bot API.

Send Photo

Send a photo to a Telegram chat using the Bot API.

Send Poll

Send a native poll to a Telegram chat using the Bot API, with a question and answer options.

Set Bot Commands

Use this method to change the list of the bot's commands.

FRAMEWORKS

How to build Telegram MCP Agent with another framework

Claude Code logo

Claude Code

Use Telegram MCP with Claude Code

Cursor logo

Cursor

Use Telegram MCP with Cursor

ChatGPT logo

ChatGPT

Use Telegram MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Telegram MCP with Claude Cowork

Antigravity logo

Antigravity

Use Telegram MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Telegram MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Telegram MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Telegram MCP with Grok Bot

Codex logo

Codex

Use Telegram MCP with Codex

Kimi Code logo

Kimi Code

Use Telegram MCP with Kimi Code

Grok Build logo

Grok Build

Use Telegram MCP with Grok Build

VS Code logo

VS Code

Use Telegram MCP with VS Code

OpenCode logo

OpenCode

Use Telegram MCP with OpenCode

OpenClaw logo

OpenClaw

Use Telegram MCP with OpenClaw

Hermes logo

Hermes

Use Telegram MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Telegram MCP with Atomic Agent

Pi logo

Pi

Use Telegram MCP with Pi

DeepSeek Harness logo

DeepSeek Harness

Use Telegram MCP with DeepSeek Harness

CLI logo

CLI

Use Telegram MCP with CLI

Google ADK logo

Google ADK

Use Telegram MCP with Google ADK

LangChain logo

LangChain

Use Telegram MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Telegram MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Telegram MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Telegram MCP with LlamaIndex

CrewAI logo

CrewAI

Use Telegram MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Telegram MCP with Pydantic AI

FAQ

Frequently asked questions

With a standalone Telegram MCP server, the agents and LLMs can only access a fixed set of Telegram tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Telegram and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Telegram tools.

Yes, absolutely. You can configure which Telegram scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Telegram data and credentials are handled as safely as possible.

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