How to integrate Composio MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Composio to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Composio agent that can generate a step-by-step workflow plan, check active connections for all toolkits, download public s3 file to local path, show tool dependencies for workflow setup through natural language commands.

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

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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Composio
  • Configure an AI agent that can use Composio as a tool
  • Run a live chat session where you can ask the agent to perform Composio operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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

The Composio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Composio account. It provides structured and secure access to your connected tools, so your agent can plan workflows, orchestrate complex actions, manage integrations, and execute cross-tool automations on your behalf.

  • Automated workflow planning and execution: The agent can generate and run step-by-step plans for complex, multi-tool use cases—ensuring tasks are completed reliably, even when they span multiple services.
  • Connection management and discovery: Effortlessly check the status of multiple toolkit connections, discover what integrations are active, and manage how your agent connects to different services.
  • Tool and dependency exploration: Ask your agent to map out tool dependencies, discover related tools, and understand which tools work best together for your workflow.
  • Direct code and command execution: Let the agent run code snippets or shell commands in supported environments, tying together automation across your stack.
  • Bulk and parallel operations: Use specialized tools for parallel execution or to handle many similar tasks at once—speeding up large automations by making multiple calls in a single workflow.

Supported Tools & Triggers

Tools
Ask OracleStatic helper that returns a comprehensive system prompt describing how to plan and execute tasks using the available composio tools and workflows.
Check active connection (deprecated)Deprecated: use check active connections instead for bulk operations.
Check multiple active connectionsCheck active connection status for multiple toolkits or specific connected account ids.
Create PlanThis is a workflow builder that ensures the LLM produces a complete, step-by-step plan for any use case.
Download S3 FileDownload a file from a public s3 (or r2) url to a local path.
Enable triggerEnable a specific trigger for the authenticated user.
Execute agentExecute complex workflows using ai agent reasoning between multiple tool calls.
Execute Composio ToolExecute a tool using the composio api.
Get Tool Dependency GraphGet the dependency graph for a given tool, showing related parent tools that might be useful.
Get required parameters for connectionGets the required parameters for connecting to a toolkit via initiate connection.
Get response schemaRetrieves the response schema for a specified composio tool.
Initiate connectionInitiate a connection to a toolkit with comprehensive authentication support.
List toolkitsList all the available toolkits on composio with filtering options.
List triggersList available triggers and their configuration schemas.
Manage connectionManage a connection to a toolkit with comprehensive authentication support.
Manage connectionsCreate or manage connections to user's apps.
Multi Execute Composio ToolsFast and parallel tool executor for tools discovered through COMPOSIO_SEARCH_TOOLS.
Run bash commandsExecute bash commands in a REMOTE sandbox for file operations, data processing, and system tasks.
Execute Code remotely in work benchProcess REMOTE FILES or script BULK TOOL EXECUTIONS using Python code IN A REMOTE SANDBOX.
Retrieve ToolkitsToolkits are like github, linear, gmail, etc.
Search agentDiscover tools and analyze dependencies for complex workflows using ai agent.
Search Composio ToolsMCP Server Info: COMPOSIO MCP connects 500+ apps—Slack, GitHub, Notion, Google Workspace (Gmail, Sheets, Drive, Calendar), Microsoft (Outlook, Teams), X, Figma, Web Search, Meta apps (WhatsApp, Instagram), TikTok, AI tools like Nano Banana & Veo3, and more—for seamless cross-app automation.
Wait for connectionWait for the user to complete authentication AFTER you have given them an auth URL from COMPOSIO_MANAGE_CONNECTIONS.
Create / Update Recipe from WorkflowConvert the executed workflow into a notebook.
Execute RecipeExecutes a Recipe
Create / Update Skill from WorkflowConvert the executed workflow into a skill using Python Pydantic code.
Get Existing Recipe DetailsGet the details of the existing recipe for a given recipe id.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Composio project
  • Some knowledge of Python or Typescript

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

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Composio.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Composio Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["composio"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only composio.
  • The router checks the user's Composio connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Composio.
  • This approach keeps things lightweight and lets the agent request Composio tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Composio. "
        "Help users perform Composio operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Composio and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Composio operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Composio.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Composio and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["composio"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Composio. "
        "Help users perform Composio operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Composio MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Composio.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

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Mastra AI

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CrewAI

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Use Composio MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Composio MCP?

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

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Composio tools.

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

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

Used by agents from

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ASU
Letta
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HubSpot
Agent.ai
Altera
DataStax
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Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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