How to integrate Claid ai MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Claid ai to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Claid ai agent that can remove background from all product images, generate lifestyle backgrounds for shoe photos, blur license plates in uploaded car images, batch upscale images in my s3 folder through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Claid ai account through Composio's Claid ai 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 Claid ai
  • Configure an AI agent that can use Claid ai as a tool
  • Run a live chat session where you can ask the agent to perform Claid ai 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 Claid ai MCP server, and what's possible with it?

The Claid ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Claid ai account. It provides structured and secure access to powerful AI image editing features, so your agent can perform actions like removing backgrounds, generating AI photoshoots, upscaling, and editing images in bulk on your behalf.

  • AI-powered background removal: Instantly have your agent isolate subjects from any image by removing backgrounds with a single command.
  • Automated product photoshoots: Let your agent transform plain product images into professional model photoshoots, complete with realistic AI-generated backgrounds.
  • Batch and async image editing: Direct your agent to process multiple images at once or submit complex, text-driven edits for asynchronous processing—perfect for large workflows.
  • Generative resizing and enhancement: Ask your agent to resize images using outpainting or upscale and enhance visuals to meet any platform’s requirements.
  • Privacy and compliance automation: Have your agent blur license plates in images or apply other privacy-preserving edits before sharing or publishing assets.

Supported Tools & Triggers

Tools
AI PhotoshootTool to transform product shots into model photoshoots.
Generate AI BackgroundsTool to generate AI backgrounds for a product image.
CLAID Background RemoveTool to remove the background from images.
Get Storage DetailsTool to retrieve details of a connected storage resource.
Connect New StorageTool to connect a storage resource.
Generative Resize ImageTool to adjust image aspect ratios via generative outpainting.
Image AI Edit AsyncTool to submit an asynchronous AI-based image editing task.
CLAID Image Edit BatchTool to process multiple images in batch.
Generate Images from TextTool to generate images from text prompts.
CLAID License Plate BlurTool to blur license plates in images to meet privacy requirements.
Update Connected StorageTool to update a connected storage's settings.
Polish ImageTool to remove AI artifacts via polish restoration.
CLAID Smart FrameTool to smart-frame images: resize and add free space around the subject.
List Connected StoragesTool to list connected storage resources.
List Storage TypesTool to retrieve available storage types.

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 Claid ai 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 Claid ai.

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 Claid ai Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["claid_ai"]
)

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 claid_ai.
  • The router checks the user's Claid ai connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Claid ai.
  • This approach keeps things lightweight and lets the agent request Claid ai 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 Claid ai. "
        "Help users perform Claid ai 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 Claid ai 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 Claid ai 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 Claid ai.
  • 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 Claid ai 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=["claid_ai"]
)
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 Claid ai. "
        "Help users perform Claid ai 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 Claid ai MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Claid ai.

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.

How to build Claid ai MCP Agent with another framework

Claude Agent SDK

Claude Agent SDK

Use Claid ai MCP with Claude Agent SDK

Google ADK

Google ADK

Use Claid ai MCP with Google ADK

LangChain

LangChain

Use Claid ai MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Claid ai MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Claid ai MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Claid ai MCP with LlamaIndex

CrewAI

CrewAI

Use Claid ai MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Claid ai MCP?

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

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

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

Used by agents from

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