# How to integrate Bart MCP with Autogen ```json { "title": "How to integrate Bart MCP with Autogen", "toolkit": "Bart", "toolkit_slug": "bart", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/bart/framework/autogen", "markdown_url": "https://composio.dev/toolkits/bart/framework/autogen.md", "updated_at": "2026-05-12T10:02:26.975Z" } ``` ## Introduction This guide walks you through connecting Bart to AutoGen using the Composio tool router. By the end, you'll have a working Bart agent that can find next departures from embarcadero station, get real-time trip updates for richmond line, check current bart service advisories and alerts through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Bart account through Composio's Bart MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Bart with - [OpenAI Agents SDK](https://composio.dev/toolkits/bart/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/bart/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/bart/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/bart/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/bart/framework/codex) - [OpenClaw](https://composio.dev/toolkits/bart/framework/openclaw) - [Hermes](https://composio.dev/toolkits/bart/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/bart/framework/cli) - [Google ADK](https://composio.dev/toolkits/bart/framework/google-adk) - [LangChain](https://composio.dev/toolkits/bart/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/bart/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/bart/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/bart/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/bart/framework/crew-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 Bart - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Bart tools - Run a live chat loop where you ask the agent to perform Bart 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 Bart MCP server, and what's possible with it? The Bart MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to BART's public transit data. It provides structured and secure access to real-time schedules, route information, station details, and service advisories, so your agent can plan trips, fetch live updates, check advisories, and explore routes for you. - Trip planning with live schedules: Instantly retrieve train arrival or departure times and help users plan journeys between any BART stations based on the latest schedule data. - Live service advisories and alerts: Keep travelers informed by fetching up-to-date system-wide or station-specific service advisories, ensuring users know about delays or disruptions before they travel. - Route and station discovery: Access detailed information about BART routes and stations, including amenities and configuration, so your agent can answer travel questions or recommend stations. - Real-time trip and schedule updates: Get the latest trip updates and schedule changes in real time, allowing users to adapt plans quickly if there are changes or issues along their route. - Access to static and GTFS feeds: Download the latest BART GTFS (General Transit Feed Specification) data for offline schedule planning, analysis, or integration with third-party transit tools. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BART_BART_GET_API_VERSION` | Get BART API Version | Get the current version of the BART API. This action retrieves version information for the BART (Bay Area Rapid Transit) API, including the current API version number, copyright information, and license details. This is useful for verifying API compatibility and ensuring you're working with the expected API version. The BART API is currently at version 3.10 and supports both XML and JSON output formats. Use this action to confirm which version of the API you're interfacing with and to access licensing information. | | `BART_GET_ELEVATOR_STATUS` | Get Elevator Status | Tool to fetch current elevator status across all BART stations. Use when you need real-time elevator availability information for accessibility planning or route guidance. | | `BART_GET_ESTIMATED_DEPARTURES` | Get Estimated Departures | Tool to get real-time estimated departure times for a specified BART station. Returns live train departure predictions including minutes until departure, platform assignments, train lengths, line colors, bicycle accommodation, and delay information. Use this when you need current departure times for planning trips or checking train status. | | `BART_GET_FARE` | Get BART Fare | Get fare information between two BART stations including Clipper and cash prices. Returns multiple fare types (Clipper, cash, senior/disabled, youth, Clipper START) with their respective prices. Use this when you need to find out how much a BART trip costs between two stations. | | `BART_GET_GTFS_ALERTS` | Get GTFS-RT Service Alerts | Tool to fetch GTFS-RT service alerts in protobuf format for integration with GTFS static feed. Use when you need real-time service advisories, disruptions, or alert information. | | `BART_GET_GTFS_RT_TRIP_UPDATES` | Get GTFS-RT Trip Updates | Tool to fetch real-time trip updates in GTFS-Realtime format. Use when you need the latest live trip information as raw protobuf. | | `BART_GET_GTFS_STATIC_SCHEDULE_FEED` | Download GTFS Static Schedule Feed | Downloads the BART static GTFS (General Transit Feed Specification) schedule feed as a ZIP archive. The GTFS feed contains comprehensive transit data including stations, routes, trip schedules, fares, and service calendars in standardized CSV format. Use this to access complete BART schedule information for route planning, analysis, or integration with transit applications. | | `BART_BART_GET_ROUTE_INFO` | Get Route Info | Tool to fetch detailed information about a specific BART route. Use when you know the route number (1–12) or need all routes configuration. Call after confirming the route ID. | | `BART_GET_ROUTE_SCHEDULE` | Get Route Schedule | Tool to get detailed schedule information for a specific BART route showing all trains and their stops. Use when you need to see the complete schedule for a route including departure times, station stops, bike policies, and passenger load indicators. Call this after determining the specific route number (1-12). | | `BART_GET_SCHEDULE_ARRIVE` | Get BART Schedule Arrive | Tool to retrieve schedule information based on a specified arrival time. Use when planning trips arriving by a given time. | | `BART_GET_SCHEDULE_DEPART` | Get BART Schedule Depart | Get BART train schedules departing from an origin station to a destination station at a specified time. Returns multiple trip options with departure/arrival times, fares (Clipper, cash, senior/disabled, youth), transfer details, train information, and platform numbers. Use this when you need to plan BART trips with specific departure times or when users ask about train schedules between two stations. | | `BART_GET_SERVICE_ADVISORIES` | Get Service Advisories | Tool to fetch current BART service advisories. Use when you need up-to-date system-wide or station-level alerts before presenting or planning transit routes. | | `BART_GET_STATION_ACCESS` | Get Station Access | Get comprehensive station access information including parking, transit, bike facilities, and lockers. Returns detailed access information for a specific BART station including: entering/exiting instructions, parking availability and lot capacity, bike parking and bike station details, locker availability, car-sharing options, nearby destinations, and connected transit services. Use this when you need to help users understand how to access a BART station or what facilities are available. | | `BART_GET_STATION_INFO` | Get Station Info | Get detailed information for a specific BART station by its abbreviation code. Returns comprehensive station details including: name, location (address, city, county, coordinates), routes serving the station (northbound/southbound), platform information, nearby amenities (food, shopping, attractions), and general station description. Use this when you need detailed information about a specific BART station and you already have its 4-letter abbreviation code (e.g., 'EMBR' for Embarcadero, 'MONT' for Montgomery Street, '12TH' for 12th Street Oakland). | | `BART_BART_GET_STATIONS` | Get BART Stations | Get a list of all BART stations with their complete information. This action retrieves information about all BART (Bay Area Rapid Transit) stations including station names, abbreviation codes, geographic coordinates (latitude/longitude), and full addresses. This is useful for finding station locations, getting station codes for other API calls, or building station lookup tools. | | `BART_GET_STATION_SCHEDULE` | Get Station Schedule | Get detailed scheduled departure information for a specific BART station. Returns all trains departing from the station including route line, destination, departure time, bike allowance, crowding level, and platform number. Use this when you need to see all departures from a specific station. | | `BART_GET_TRAIN_COUNT` | Get Train Count | Tool to fetch current count of trains active in the BART system. Use when you need real-time information about how many trains are currently operating. | | `BART_LIST_ROUTES` | List BART Routes | Tool to get a list of all current BART routes/lines with basic information. Use when you need to see all available routes, their colors, directions, or route numbers. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Bart MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Bart. Instead of manually wiring Bart APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Bart account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Bart via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables 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 Bart connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Bart tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```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 Bart session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["bart"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen 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 ```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")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Bart tools from the workbench ```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 Bart assistant agent with MCP tools agent = AssistantAgent( name="bart_assistant", description="An AI assistant that helps with Bart operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Bart 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 ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Bart 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") ``` ## Complete Code ```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 Bart session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["bart"] ) 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 Bart assistant agent with MCP tools agent = AssistantAgent( name="bart_assistant", description="An AI assistant that helps with Bart 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 Bart 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 Bart 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 Bart, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Bart MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/bart/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/bart/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/bart/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/bart/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/bart/framework/codex) - [OpenClaw](https://composio.dev/toolkits/bart/framework/openclaw) - [Hermes](https://composio.dev/toolkits/bart/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/bart/framework/cli) - [Google ADK](https://composio.dev/toolkits/bart/framework/google-adk) - [LangChain](https://composio.dev/toolkits/bart/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/bart/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/bart/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/bart/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/bart/framework/crew-ai) ## Related Toolkits - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Apaleo](https://composio.dev/toolkits/apaleo) - Apaleo is a cloud-based property management platform for hospitality businesses. It centralizes reservations, billing, and daily operations for smoother hotel management. - [Appointo](https://composio.dev/toolkits/appointo) - Appointo is an appointment booking platform for Shopify stores. It lets businesses add online scheduling to their websites with zero coding. - [Bookingmood](https://composio.dev/toolkits/bookingmood) - Bookingmood is commission-free booking software for rental businesses. It lets you manage reservations and sync bookings directly on your website. - [Booqable](https://composio.dev/toolkits/booqable) - Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease. - [Cal](https://composio.dev/toolkits/cal) - Cal is a meeting scheduling platform that offers shareable booking links and real-time calendar syncing. It streamlines the process of finding mutual availability to make scheduling effortless. - [Calendarhero](https://composio.dev/toolkits/calendarhero) - Calendarhero is a powerful scheduling platform that streamlines your calendar management across multiple services. It helps you efficiently schedule, reschedule, and organize meetings without the back-and-forth. - [Calendly](https://composio.dev/toolkits/calendly) - Calendly is an appointment scheduling tool that automates meeting invitations, availability checks, and reminders. It helps individuals and teams avoid endless email back-and-forth when booking meetings. - [Etermin](https://composio.dev/toolkits/etermin) - eTermin is an online appointment scheduling platform for businesses to manage bookings. It streamlines client appointments, saving time and reducing scheduling conflicts. - [Evenium](https://composio.dev/toolkits/evenium) - Evenium is an all-in-one platform for managing professional events, from planning to analysis. It helps teams simplify event logistics, boost engagement, and track every detail in one place. - [Eventee](https://composio.dev/toolkits/eventee) - Eventee is a user-friendly event management platform for mobile and web. It boosts attendee engagement for in-person, virtual, and hybrid events. - [Eventzilla](https://composio.dev/toolkits/eventzilla) - Eventzilla is an event management platform for creating, promoting, and running events. It streamlines ticketing, registration, and attendee coordination for organizers. - [Humanitix](https://composio.dev/toolkits/humanitix) - Humanitix is a not-for-profit ticketing platform that donates 100% of profits to charity. It empowers event organizers to make social impact with every ticket sold. - [Lodgify](https://composio.dev/toolkits/lodgify) - Lodgify is an all-in-one vacation rental software for property managers and owners. It centralizes bookings, guest messaging, and channel synchronization in one dashboard. - [Planyo Online Booking](https://composio.dev/toolkits/planyo_online_booking) - Planyo Online Booking is a flexible reservation system for managing bookings by day, hour, or event. It streamlines scheduling for any business needing reservations. - [Scheduleonce](https://composio.dev/toolkits/scheduleonce) - Scheduleonce is a scheduling platform for capturing, qualifying, and engaging with inbound leads. It streamlines appointment booking and follow-ups for faster lead conversion. - [Supersaas](https://composio.dev/toolkits/supersaas) - Supersaas is a flexible appointment scheduling platform for businesses and individuals. It streamlines bookings, reminders, and calendar management in one place. - [Sympla](https://composio.dev/toolkits/sympla) - Sympla is a platform for managing in-person and online events, ticket sales, and registrations. It streamlines event setup, attendee tracking, and digital content delivery. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Bart MCP? With a standalone Bart MCP server, the agents and LLMs can only access a fixed set of Bart tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Bart and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? 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 Bart tools. ### Can I manage the permissions and scopes for Bart while using Tool Router? Yes, absolutely. You can configure which Bart 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. ### How safe is my data with Composio Tool Router? 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 Bart data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)