# How to integrate Seat geek MCP with Autogen

```json
{
  "title": "How to integrate Seat geek MCP with Autogen",
  "toolkit": "Seat geek",
  "toolkit_slug": "seat_geek",
  "framework": "AutoGen",
  "framework_slug": "autogen",
  "url": "https://composio.dev/toolkits/seat_geek/framework/autogen",
  "markdown_url": "https://composio.dev/toolkits/seat_geek/framework/autogen.md",
  "updated_at": "2026-05-12T10:24:58.522Z"
}
```

## Introduction

This guide walks you through connecting Seat geek to AutoGen using the Composio tool router. By the end, you'll have a working Seat geek agent that can find concerts happening in new york this weekend, show me available seats for taylor swift’s next show, recommend sports events near san francisco next month through natural language commands.
This guide will help you understand how to give your AutoGen agent real control over a Seat geek account through Composio's Seat geek MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Seat geek with

- [OpenAI Agents SDK](https://composio.dev/toolkits/seat_geek/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/seat_geek/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/seat_geek/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/seat_geek/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/seat_geek/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/seat_geek/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/seat_geek/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/seat_geek/framework/cli)
- [Google ADK](https://composio.dev/toolkits/seat_geek/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/seat_geek/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/seat_geek/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/seat_geek/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/seat_geek/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/seat_geek/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 Seat geek
- Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
- Configure an Autogen AssistantAgent that can call Seat geek tools
- Run a live chat loop where you ask the agent to perform Seat geek 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 Seat geek MCP server, and what's possible with it?

The Seat geek MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to SeatGeek's event and ticketing platform. It provides structured and secure access to real-time event listings, performer info, venues, and recommendations—so your agent can search events, fetch performer or venue details, get personalized recommendations, and explore seating options on your behalf.
- Event discovery and search: Instantly search for concerts, sports games, theater shows, and more by performer, venue, location, or date to find upcoming live entertainment that matches your preferences.
- Venue and seating insights: Retrieve detailed information about venues, including seating charts and available sections or rows, so your agent can help you choose the best seats for any event.
- Performer exploration and recommendations: Get in-depth details about your favorite artists, teams, or entertainers, and discover similar performers or new acts you might enjoy based on your interests.
- Personalized event recommendations: Ask your agent to suggest events tailored to your tastes, location, or favorite performers, making it easy to find something you'll love.
- Event category browsing: Explore a rich taxonomy of event types, from concerts and sports to theater and comedy, enabling your agent to filter and recommend experiences across all entertainment genres.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SEAT_GEEK_GET_EVENT_DETAILS` | Get Event Details | Get comprehensive details about a specific event including venue, performers, date/time (in local venue time), ticket information, and a SeatGeek event URL. Performer and venue fields are basic summaries; use SEAT_GEEK_GET_PERFORMER_DETAILS or SEAT_GEEK_GET_VENUE_DETAILS for additional depth. For similarly named or recurring events, cross-check date, venue, league, and competition fields to confirm the correct event. |
| `SEAT_GEEK_GET_EVENT_RECOMMENDATIONS` | Get Event Recommendations | Get personalized event recommendations based on your favorite performers, events, or location. Discover new events you might enjoy. |
| `SEAT_GEEK_GET_EVENT_SEATING` | Get Event Seating Information | Get section and row layout information for a specific event's venue. Returns available sections (e.g., '101', 'floor', 'suite-14') mapped to their row identifiers. IMPORTANT: Only works for events at major venues with seating maps (stadiums, arenas). Small venue concerts or general admission events will return a 404 error. Use SEAT_GEEK_SEARCH_EVENTS with taxonomies_name='sports' to find events that have seating data. |
| `SEAT_GEEK_GET_PERFORMER_DETAILS` | Get Performer Details | Retrieves detailed information about a specific performer (artist, sports team, or theatrical production) from SeatGeek by their unique ID. Returns comprehensive data including performer name, type, images, popularity scores, upcoming event counts, genre/taxonomy classifications, and ticket URLs. Does not include box scores, match statistics, or performance stats. Use this action when you need fields beyond the basic performer info already embedded in event details (e.g., popularity scores, full taxonomy, upcoming event counts). To find performer IDs, first use the search_performers action to search by name. |
| `SEAT_GEEK_GET_PERFORMER_RECOMMENDATIONS` | Get Performer Recommendations | Get recommendations for similar performers based on your interests. Discover new artists, bands, teams, or entertainers you might enjoy. |
| `SEAT_GEEK_GET_TAXONOMIES` | Get Event Categories | Get a list of all available event categories and types (taxonomies) used on SeatGeek. Useful for understanding event classification and filtering options. |
| `SEAT_GEEK_GET_VENUE_DETAILS` | Get Venue Details | Get detailed venue-specific information (location, address, metadata) beyond what SEAT_GEEK_GET_EVENT_DETAILS already returns. Only call this tool when additional venue fields are needed that are absent from the event details response. |
| `SEAT_GEEK_SEARCH_EVENTS` | Search Events | Search for ticketed events on SeatGeek by performers, venues, dates, or general queries. Covers concerts, sports games, theater shows, and other live entertainment. Only indexes ticketed events; empty results may indicate coverage gaps. Avoid over-filtering — start broad and progressively narrow. lat and lon parameters must be supplied together for location-based filtering. |
| `SEAT_GEEK_SEARCH_PERFORMERS` | Search Performers | Search for performers including artists, bands, sports teams, comedians, and more. Find your favorite entertainers and see their upcoming events. |
| `SEAT_GEEK_SEARCH_VENUES` | Search Venues | Search for venues by location, name, or other criteria. Find stadiums, theaters, concert halls, and other entertainment venues. Supports lat/lon coordinate filtering (both must be provided together). |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Seat geek MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Seat geek. Instead of manually wiring Seat geek 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 Seat geek 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 Seat geek 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 Seat geek 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 Seat geek 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 Seat geek session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["seat_geek"]
    )
    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 Seat geek 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 Seat geek assistant agent with MCP tools
    agent = AssistantAgent(
        name="seat_geek_assistant",
        description="An AI assistant that helps with Seat geek 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 Seat geek 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 Seat geek 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 Seat geek session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["seat_geek"]
    )
    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 Seat geek assistant agent with MCP tools
        agent = AssistantAgent(
            name="seat_geek_assistant",
            description="An AI assistant that helps with Seat geek 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 Seat geek 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 Seat geek 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 Seat geek, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

## How to build Seat geek MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/seat_geek/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/seat_geek/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/seat_geek/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/seat_geek/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/seat_geek/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/seat_geek/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/seat_geek/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/seat_geek/framework/cli)
- [Google ADK](https://composio.dev/toolkits/seat_geek/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/seat_geek/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/seat_geek/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/seat_geek/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/seat_geek/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/seat_geek/framework/crew-ai)

## Related Toolkits

- [Youtube](https://composio.dev/toolkits/youtube) - YouTube is a leading video-sharing platform for uploading, streaming, and discovering content. It empowers creators and businesses to reach global audiences and monetize their work.
- [Amara](https://composio.dev/toolkits/amara) - Amara is a collaborative platform for creating and managing subtitles and captions for videos. It helps make content accessible and multilingual for global audiences.
- [Cats](https://composio.dev/toolkits/cats) - Cats is an API with a huge library of cat images, breed data, and cat facts. It makes finding adorable cat photos and trivia effortless for your apps and users.
- [Chatfai](https://composio.dev/toolkits/chatfai) - Chatfai is an AI platform that lets users talk to AI versions of fictional characters from books, movies, and games. It offers an engaging, interactive experience for fans to chat, roleplay, and explore creative dialogues.
- [Cincopa](https://composio.dev/toolkits/cincopa) - Cincopa is a multimedia platform for uploading, managing, and customizing videos, images, and audio. It helps you deliver engaging media experiences with robust APIs and flexible integrations.
- [Dungeon fighter online](https://composio.dev/toolkits/dungeon_fighter_online) - Dungeon Fighter Online (DFO) is an arcade-style, side-scrolling action RPG packed with dynamic combat and progression. Play solo or with friends to battle monsters, complete quests, and upgrade your characters.
- [Elevenlabs](https://composio.dev/toolkits/elevenlabs) - Elevenlabs is an advanced AI voice generation platform for lifelike, multilingual speech synthesis. Perfect for creating natural voices for videos, apps, and business content in seconds.
- [Elevenreader](https://composio.dev/toolkits/elevenreader) - Elevenreader is an AI-powered text-to-speech service by ElevenLabs that converts written content into lifelike audio. It enables fast, natural audio generation from any text.
- [Epic games](https://composio.dev/toolkits/epic_games) - Epic Games is a leading video game publisher and digital storefront, known for Fortnite and Unreal Engine. It lets gamers access, manage, and purchase games all in one place.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.
- [Giphy](https://composio.dev/toolkits/giphy) - Giphy is the largest online library for searching and sharing GIFs and stickers. Instantly add vibrant animated content to your apps, chats, and workflows.
- [Headout](https://composio.dev/toolkits/headout) - Headout is a global platform for booking travel experiences, tours, and entertainment. It helps users discover and secure activities at top destinations, all in one place.
- [Imagekit io](https://composio.dev/toolkits/imagekit_io) - ImageKit.io is a cloud-based media management platform for image and video delivery. Instantly optimize, transform, and deliver visuals globally via a lightning-fast CDN.
- [Listennotes](https://composio.dev/toolkits/listennotes) - Listennotes is a powerful podcast search engine with a massive global database. Discover, search, and curate podcasts from around the world in seconds.
- [News api](https://composio.dev/toolkits/news_api) - News api is a REST API for searching and retrieving live news articles from across the web. Instantly access headlines, coverage, and breaking stories from thousands of sources.
- [RAWG Video Games Database](https://composio.dev/toolkits/rawg_video_games_database) - RAWG Video Games Database is the largest video game discovery and info service. Instantly access comprehensive details, ratings, and release dates for thousands of games.
- [Shotstack](https://composio.dev/toolkits/shotstack) - Shotstack is a cloud platform for programmatically generating videos, images, and audio. Automate creative content production at scale with flexible RESTful APIs.
- [Spotify](https://composio.dev/toolkits/spotify) - Spotify is a streaming service for music and podcasts with millions of tracks from artists worldwide. Enjoy personalized playlists, recommendations, and seamless listening across all your devices.
- [Ticketmaster](https://composio.dev/toolkits/ticketmaster) - Ticketmaster is a global platform for event discovery, ticket sales, and live entertainment management. Get real-time access to events and streamline ticketing for fans and organizers.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Seat geek MCP?

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

### Can I manage the permissions and scopes for Seat geek while using Tool Router?

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

---
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