How to integrate Twitter MCP with Autogen

This guide walks you through connecting Twitter to AutoGen using the Composio tool router. By the end, you'll have a working Twitter agent that can post a tweet with latest blog link, add user to your conference list, retrieve your most recent bookmarked tweets through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Twitter account through Composio's Twitter MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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78 Tools

Introduction

This guide walks you through connecting Twitter to AutoGen using the Composio tool router. By the end, you'll have a working Twitter agent that can post a tweet with latest blog link, add user to your conference list, retrieve your most recent bookmarked tweets through natural language commands.

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

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

Also integrate Twitter with

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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 Twitter
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Twitter tools
  • Run a live chat loop where you ask the agent to perform Twitter 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 Twitter MCP server, and what's possible with it?

The Twitter MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Twitter (now X) account. It provides structured and secure access to your social media presence, so your agent can perform actions like posting tweets, managing lists, handling bookmarks, and starting group DMs on your behalf.

  • Automated tweet posting and management: Let your agent compose and publish tweets, including text, media, polls, or quote tweets, directly to your timeline.
  • List creation and member management: Have your agent create new Twitter lists, add or remove users, fetch list members, or delete lists as needed.
  • Bookmark handling and retrieval: Easily get your bookmarked tweets or add posts to your bookmarks for quick access later, all through your agent.
  • Direct and group message automation: Enable your agent to create group DMs, send initial messages, or delete specific direct messages securely and efficiently.
  • Compliance and content moderation: Use your agent to set up compliance jobs, check the status of tweets or user IDs, and help manage your account’s integrity.

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 Twitter 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 Twitter 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 Twitter 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 Twitter session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["twitter"]
    )
    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 Twitter 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 Twitter assistant agent with MCP tools
    agent = AssistantAgent(
        name="twitter_assistant",
        description="An AI assistant that helps with Twitter 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 Twitter 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 Twitter 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 Twitter 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 Twitter 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 Twitter session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["twitter"]
    )
    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 Twitter assistant agent with MCP tools
        agent = AssistantAgent(
            name="twitter_assistant",
            description="An AI assistant that helps with Twitter 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 Twitter 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 Twitter 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 Twitter, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Add a list member

Adds a user to a specified Twitter List; the list must be owned by the authenticated user.

Add post to bookmarks

Adds a specified, existing, and accessible Tweet to a user's bookmarks, with success indicated by the 'bookmarked' field in the response.

Append Media Upload

Append data chunk to an ongoing media upload session on X/Twitter.

Get bookmarks by user

Retrieves Tweets bookmarked by the authenticated user, where the provided User ID must match the authenticated user's ID.

Create activity subscription

Tool to create a subscription for an X activity event.

Create compliance job

Creates a new compliance job to check the status of Tweet or user IDs; upload IDs as a plain text file (one ID per line) to the `upload_url` received in the response.

Create group DM conversation

Creates a new group Direct Message (DM) conversation on Twitter.

Create a list

Creates a new, empty List on X (formerly Twitter), for which the provided name must be unique for the authenticated user; accounts are added separately.

Create a post

Creates a Tweet on Twitter; `text` is required unless `card_uri`, `media_media_ids`, `poll_options`, or `quote_tweet_id` is provided.

Delete direct message

Permanently deletes a specific Twitter Direct Message (DM) event using its `event_id` if the authenticated user sent it; this action is irreversible and does not delete entire conversations.

Delete list

Permanently deletes a specified Twitter List using its ID, which must be owned by the authenticated user; this action is irreversible and the list must already exist.

Get followers by user id

Retrieves a list of users who follow a specified public Twitter user ID.

Get following by user ID

Retrieves users followed by a specific Twitter user, allowing pagination and customization of returned user and tweet data fields via expansions.

Follow a list

Allows the authenticated user (`id`) to follow a specific Twitter List (`list_id`) they are permitted to access, subscribing them to the list's timeline; this does not automatically follow individual list members.

Follow a user

Allows an authenticated user (path `id`) to follow another user (`target_user_id`), which results in a pending request if the target user's tweets are protected.

Search full archive of tweets

Searches the full archive of public Tweets from March 2006 onwards; use 'start_time' and 'end_time' together for a defined time window.

Get users blocked by user ID

Retrieves the authenticated user's own block list.

Retrieve compliance job by id

Retrieves status, download/upload URLs, and other details for an existing Twitter compliance job specified by its unique ID.

Retrieve compliance jobs

Returns a list of recent compliance jobs, filtered by type (tweets or users) and optionally by status.

Get DM events for a DM conversation

Fetches Direct Message (DM) events for a one-on-one conversation with a specified participant ID, ordered chronologically newest to oldest; does not support group DMs.

Get DM events by ID

Fetches a specific Direct Message (DM) event by its unique ID, allowing optional expansion of related data like users or tweets; ensure the `event_id` refers to an existing DM event accessible to the authenticated user.

Lookup list by ID

Returns metadata for a specific Twitter List, identified by its ID; does not return list members but can expand the owner's User object via the `expansions` parameter.

Get list followers

Fetches a list of users who follow a specific Twitter List, identified by its ID; ensure the authenticated user has access if the list is private.

Fetch list members by id

Fetches members of a specific Twitter List, identified by its unique ID.

Get Media Upload Status

Get the processing status of uploaded media (videos/GIFs) on X/Twitter.

Get muted users

Returns user objects muted by the X user identified by the `id` path parameter.

Fetch OpenAPI specification

Fetches the OpenAPI specification (JSON) for Twitter's API v2, used to programmatically understand the API's structure for developing client libraries or tools.

Get Post analytics

Tool to retrieve analytics data for specified Posts within a defined time range.

Get post retweeters

Retrieves users who publicly retweeted a specified public Post ID, excluding Quote Tweets and retweets from private accounts.

Retrieve retweets of a post

Retrieves Tweets that Retweeted a specified public or authenticated-user-accessible Tweet ID, optionally customizing the response with fields and expansions.

Fetch tweet usage data

Fetches Tweet usage statistics for a Project (e.

Get recent direct message events

Returns recent Direct Message events for the authenticated user, such as new messages or changes in conversation participants.

Look up space by ID

Retrieves details for a Twitter Space by its ID, allowing for customization and expansion of related data, provided the Space ID is valid and accessible.

Retrieve posts from a space

Retrieves Tweets that were shared/posted during a Twitter Space broadcast.

Get spaces by creator IDs

Retrieves Twitter Spaces created by a list of specified User IDs, with options to customize returned data fields.

Get space information by IDs

Fetches detailed information for one or more Twitter Spaces (live, scheduled, or ended) by their unique IDs; at least one Space ID must be provided.

Fetch space ticket buyers list

Retrieves a list of users who purchased tickets for a specific, valid, and ticketed Twitter Space.

Look up user by ID

Retrieves detailed public information for a Twitter user by their ID, optionally expanding related data (e.

Get user's followed lists

Returns metadata (not Tweets) for lists a specific Twitter user follows, optionally including expanded owner details.

Get a user's list memberships

Retrieves all Twitter Lists a specified user is a member of, including public Lists and private Lists the authenticated user is authorized to view.

Get a user's owned lists

Call this action to retrieve Lists created (owned) by a specific Twitter user, not Lists they follow or are subscribed to.

Get a user's pinned lists

Retrieves the Lists a specific, existing Twitter user has pinned to their profile to highlight them.

Look up users by IDs

Retrieves detailed information for specified X (formerly Twitter) user IDs, optionally customizing returned fields and expanding related entities.

Set reply visibility

Hides or unhides an existing reply Tweet.

Initialize Media Upload

Initialize a media upload session for X/Twitter.

List post likers

Retrieves users who have liked the Post (Tweet) identified by the provided ID.

List posts timeline by list ID

Fetches the most recent Tweets posted by members of a specified Twitter List.

Mute user by ID

Mutes a target user on behalf of an authenticated user, preventing the target's Tweets and Retweets from appearing in the authenticated user's home timeline without notifying the target.

Pin a list

Pins a specified List to the authenticated user's profile, provided the List exists, the user has access rights, and the pin limit (typically 5 Lists) is not exceeded.

Delete tweet

Irreversibly deletes a specific Tweet by its ID; the Tweet may persist in third-party caches after deletion.

Look up post by id

Fetches comprehensive details for a single Tweet by its unique ID, provided the Tweet exists and is accessible.

Get tweets by IDs

Retrieves detailed information for one or more Posts (Tweets) identified by their unique IDs, allowing selection of specific fields and expansions.

Search recent tweets

Searches Tweets from the last 7 days matching a query (using X's search syntax), ideal for real-time analysis, trend monitoring, or retrieving posts from specific users (e.

Remove a list member

Removes a user from a Twitter List; the response `is_member` field will be `false` if removal was successful or the user was not a member, and the updated list of members is not returned.

Remove a bookmarked post

Removes a Tweet, specified by `tweet_id`, from the authenticated user's bookmarks; the Tweet must have been previously bookmarked by the user for the action to have an effect.

Retrieve DM conversation events

Retrieves Direct Message (DM) events for a specific conversation ID on Twitter, useful for analyzing messages and participant activities.

Retrieve posts that quote a post

Retrieves Tweets that quote a specified Tweet, requiring a valid Tweet ID.

Retrieve liked tweets by user ID

Retrieves Tweets liked by a specified Twitter user, provided their liked tweets are public or accessible.

Retweet post

Retweets a Tweet for the authenticated user.

Get full archive search counts

Returns a count of Tweets from the full archive that match a specified query, aggregated by day, hour, or minute; `start_time` must be before `end_time` if both are provided, and `since_id`/`until_id` cannot be used with `start_time`/`end_time`.

Fetch recent tweet counts

Retrieves the count of Tweets matching a specified search query within the last 7 days, aggregated by 'minute', 'hour', or 'day'.

Search for spaces

Searches for Twitter Spaces by a textual query, optionally filtering by state (live, scheduled, all) to discover audio conversations.

Send a new message to a user

Sends a new Direct Message with text and/or media (media_id for attachments must be pre-uploaded) to a specified Twitter user; this creates a new DM and does not modify existing messages.

Send a new message to a DM conversation

Sends a message, with optional text and/or media attachments (using pre-uploaded `media_id`s), to a specified Twitter Direct Message conversation.

Get tweets label stream

Stream real-time Tweet label events (apply/remove).

Unfollow a list

Enables a user (via `id`) to unfollow a specific Twitter List (via `list_id`), which removes its tweets from their timeline and stops related notifications; the action reports `following: false` on success, even if the user was not initially following the list.

Unfollow user

Allows the authenticated user to unfollow an existing Twitter user (`target_user_id`), which removes the follow relationship.

Unlike post

Allows an authenticated user (`id`) to remove their like from a specific post (`tweet_id`); the action is idempotent and completes successfully even if the post was not liked.

Unmute a user by user ID

Unmutes a target user for the authenticated user, allowing them to see Tweets and notifications from the target user again.

Unpin a list

Unpins a List (specified by list_id) from the authenticated user's profile.

Unretweet post

Removes a user's retweet of a specified Post, if the user had previously retweeted it.

Update list attributes

Updates an existing Twitter List's name, description, or privacy status, requiring the List ID and at least one mutable property.

Upload Media

Upload media (images only) to X/Twitter using the v2 API.

Get user reverse chronological timeline

Retrieves the home timeline (reverse chronological feed) for the authenticated Twitter user.

Like a tweet

Allows the authenticated user to like a specific, accessible Tweet, provided neither user has blocked the other and the authenticated user is not restricted from liking.

Look up user by username

Fetches public profile information for a valid and existing Twitter user by their username, optionally expanding related data like pinned Tweets; results may be limited for protected profiles not followed by the authenticated user.

Look up users by username

Retrieves detailed information for 1 to 100 Twitter users by their usernames (each 1-15 alphanumeric characters/underscores), allowing customizable user/tweet fields and expansion of related data like pinned tweets.

Get authenticated user

Returns profile information for the currently authenticated X user, customizable via request fields.

FRAMEWORKS

How to build Twitter MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Twitter MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Twitter MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Twitter MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Twitter MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Twitter MCP with Claude Cowork

Codex logo

Codex

Use Twitter MCP with Codex

Cursor logo

Cursor

Use Twitter MCP with Cursor

OpenClaw logo

OpenClaw

Use Twitter MCP with OpenClaw

Hermes logo

Hermes

Use Twitter MCP with Hermes

CLI logo

CLI

Use Twitter MCP with CLI

Google ADK logo

Google ADK

Use Twitter MCP with Google ADK

LangChain logo

LangChain

Use Twitter MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Twitter MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Twitter MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Twitter MCP with LlamaIndex

CrewAI logo

CrewAI

Use Twitter MCP with CrewAI

OpenCode logo

OpenCode

Use Twitter MCP with OpenCode

VS Code logo

VS Code

Use Twitter MCP with VS Code

FAQ

Frequently asked questions

With a standalone Twitter MCP server, the agents and LLMs can only access a fixed set of Twitter tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Twitter 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 Twitter tools.

Yes, absolutely. You can configure which Twitter 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 Twitter data and credentials are handled as safely as possible.

Start with Twitter.It takes 30 seconds.

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