How to integrate Swaggerhub MCP with Autogen

This guide walks you through connecting Swaggerhub to AutoGen using the Composio tool router. By the end, you'll have a working Swaggerhub agent that can list all apis i have access to, create a new api named petstore, update the description for your orders api through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Swaggerhub account through Composio's Swaggerhub MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Swaggerhub

Api Key

Swaggerhub is a collaborative API design and documentation platform built on OpenAPI. It accelerates API delivery, quality, and teamwork with powerful standards and workflow tools.

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Introduction

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

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

Also integrate Swaggerhub with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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

The Swaggerhub MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Swaggerhub account. It provides structured and secure access so your agent can perform Swaggerhub operations on your behalf.

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:

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

Step-by-step Guide

Step by step08 STEPS

Prerequisites

You will need:

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

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.

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 Swaggerhub via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

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 Swaggerhub connections to use

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 Swaggerhub session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["swaggerhub"]
    )
    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 Swaggerhub tools
session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 Swaggerhub assistant agent with MCP tools
    agent = AssistantAgent(
        name="swaggerhub_assistant",
        description="An AI assistant that helps with Swaggerhub 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 Swaggerhub tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Swaggerhub 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 Swaggerhub 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 Swaggerhub 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 Swaggerhub session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["swaggerhub"]
    )
    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 Swaggerhub assistant agent with MCP tools
        agent = AssistantAgent(
            name="swaggerhub_assistant",
            description="An AI assistant that helps with Swaggerhub 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 Swaggerhub 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 Swaggerhub 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 Swaggerhub, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

TOOLS

Supported Tools

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

Add Access Control for Teams

Tool to assign access control roles to teams on a SwaggerHub resource.

Add Access Control for Users

Tool to assign access control roles to users on a SwaggerHub resource.

Delete Table of Contents Entry

Tool to delete a table of contents entry from SwaggerHub portal.

Get Access Control Users

Tool to retrieve the list of users assigned access control on a SwaggerHub resource.

Get API Default Version

Tool to get the default version identifier of a SwaggerHub API.

Get API Versions

Tool to retrieve a list of API versions for a specific API in SwaggerHub.

Get Consumer Products

Tool to get a list of products that are visible to the consumer in a SwaggerHub portal.

Get API Definition

Tool to get the OpenAPI definition of a specified API version from SwaggerHub.

Get Domain Default Version

Tool to retrieve the default version identifier of a SwaggerHub domain.

Get domain definition

Tool to retrieve the OpenAPI definition of a specified domain version from SwaggerHub.

Get Domain JSON Definition

Tool to retrieve the OpenAPI definition for a specified domain version in JSON format.

Get Domain Lifecycle Settings

Tool to get the published status for a specific domain and version in SwaggerHub.

Get Domain Private Settings

Tool to retrieve the visibility (public or private) of a domain version in SwaggerHub.

Get Domain Versions

Tool to get a list of domain versions from SwaggerHub.

Get Domain YAML Definition

Tool to retrieve the OpenAPI definition for a specified domain version in YAML format from SwaggerHub.

Get JSON API Definition

Tool to download OpenAPI definition as a JSON file from SwaggerHub Portal API.

Get JSON Definition

Tool to get the OpenAPI definition for a specified API version in JSON format.

Get lifecycle settings

Tool to get the published status for the specified API and version.

Get Organization Members

Tool to retrieve a list of organization members and their roles from SwaggerHub.

Get User Organizations

Tool to get organizations for a user.

Get Organization Projects V2

Tool to get all projects of an organization in SwaggerHub.

Get Owner APIs

Tool to get a list of APIs for a specified owner in SwaggerHub.

Get owner domains

Tool to retrieve domains owned by a specific SwaggerHub user or organization.

Get Portal

Tool to retrieve information about a portal.

Get Portal Access Requests

Tool to retrieve access requests for a portal in SwaggerHub.

Get Portal Attachment

Tool to get informational attachment metadata from SwaggerHub Portal.

Get Portal Product

Tool to retrieve detailed information about a specific product resource.

Get Portal Products

Tool to get products for a specific portal that match your criteria.

Get Portals

Tool to search for available portals.

Get Portal Templates

Tool to get templates for a specific portal that match your criteria.

Get API Version Private Settings

Tool to get the visibility (public or private) of an API version.

List Resource Types and Roles

Tool to list available resource types and assignable roles for each in a SwaggerHub organization.

Get Templates

Tool to retrieve a list of templates for an owner in SwaggerHub.

Get User Roles

Tool to retrieve all roles assigned to a user across organization resources in SwaggerHub.

Get YAML API Definition

Tool to download OpenAPI definition as a YAML file from SwaggerHub Portal API.

Get YAML Definition

Tool to get the OpenAPI definition in YAML format for the specified API version from SwaggerHub.

List Attachments

Tool to retrieve all attachments for a portal or product.

Remove Access Control for Teams

Tool to remove access control for teams from a SwaggerHub resource.

Remove Access Control For Users

Tool to remove access control for users from a SwaggerHub organizational resource.

Remove Organization Members

Tool to remove members from a SwaggerHub organization.

Search APIs

Tool to search SwaggerHub APIs.

Search APIs and Domains

Tool to search SwaggerHub APIs, domains, and templates.

Search Domains

Tool to search SwaggerHub domains.

Search Published Portal

Tool to search published portal content.

Update Access Control for Teams

Tool to update access control roles for teams on a SwaggerHub resource.

Update Access Control for Users

Tool to update access control roles for users on a SwaggerHub resource.

Update Access Control for Teams

Tool to update access control for teams on a SwaggerHub resource.

Update Access Control Users

Tool to update access control roles for users on a SwaggerHub resource.

Update Portal

Tool to update specific portal information in SwaggerHub.

FRAMEWORKS

How to build Swaggerhub MCP Agent with another framework

OpenAI Agents SDK

Use Swaggerhub MCP with OpenAI Agents SDK

Claude Agent SDK

Use Swaggerhub MCP with Claude Agent SDK

Claude Code

Use Swaggerhub MCP with Claude Code

Claude Cowork

Use Swaggerhub MCP with Claude Cowork

Codex

Use Swaggerhub MCP with Codex

OpenClaw

Use Swaggerhub MCP with OpenClaw

Hermes

Use Swaggerhub MCP with Hermes

CLI

Use Swaggerhub MCP with CLI

Google ADK

Use Swaggerhub MCP with Google ADK

LangChain

Use Swaggerhub MCP with LangChain

Vercel AI SDK

Use Swaggerhub MCP with Vercel AI SDK

Mastra AI

Use Swaggerhub MCP with Mastra AI

LlamaIndex

Use Swaggerhub MCP with LlamaIndex

CrewAI

Use Swaggerhub MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Supabase

Oauth2Api Key

Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.

Codeinterpreter

No Auth

Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.

GitHub

Oauth2

GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.

Ably

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Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.

FAQ

Frequently asked questions

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

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

Start with Swaggerhub.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Swaggerhub tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Swaggerhub MCP with Autogen

Connect Swaggerhub without auth hassles

Introduction

Also integrate Swaggerhub with

TL;DR

What is AutoGen?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

Supported Tools

How to build Swaggerhub MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Supabase

Codeinterpreter

GitHub

Ably

Frequently asked questions

What are the differences in Tool Router MCP and Swaggerhub MCP?+

Can I use Tool Router MCP with Autogen?+

Can I manage the permissions and scopes for Swaggerhub while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Swaggerhub.It takes 30 seconds.

Teams ship real agents on Composio