# How to integrate Cats MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Cats MCP with OpenAI Agents SDK",
  "toolkit": "Cats",
  "toolkit_slug": "cats",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/cats/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/cats/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:05:49.695Z"
}
```

## Introduction

This guide walks you through connecting Cats to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Cats agent that can show me five random cat images, list popular cat breeds with photos, find unique cat facts for trivia through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Cats account through Composio's Cats MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Cats with

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

## 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 Cats
- Configure an AI agent that can use Cats as a tool
- Run a live chat session where you can ask the agent to perform Cats operations

## What is OpenAI 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 Cats MCP server, and what's possible with it?

The Cats MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cats account. It provides structured and secure access to a wide collection of cat images, breed information, and fun feline facts, so your agent can fetch cat data, browse curated cat images, and pull breed details on your behalf.
- Portals listing for cat resources: Instruct your agent to list and browse all available cat-related portals, making it easy to explore organized collections of cat images and data.
- Metadata exploration with pagination: Have your agent efficiently page through vast cat collections, ensuring you can access just the right portal or dataset without missing a thing.
- On-demand cat image discovery: Let your agent find and retrieve high-quality cat images from the API’s large, curated library—perfect for enrichment or just a dose of cuteness.
- Access to detailed breed and fact data: Ask your agent to pull up detailed info on cat breeds and fun facts, making it a handy assistant for both research and entertainment.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CATS_CREATE_FAVOURITE` | Create Favourite | Tool to save an image as a favourite to your account. Use when you want to mark a cat image as a favourite for later retrieval or filtering by user ID. |
| `CATS_CREATE_VOTE` | Create Vote | Tool to vote on a cat image. Send image_id and value (1 for upvote, 0 for downvote) to register your vote. Optionally include sub_id for user tracking. |
| `CATS_DELETE_FAVOURITE` | Delete Favourite | Tool to delete a favourite from your account by its ID. Use when you need to remove a previously saved favourite image from your Cat API account. |
| `CATS_DELETE_IMAGE` | Delete Image | Delete an uploaded image from your account by its ID. Use this when you need to remove an image you previously uploaded to The Cat API. |
| `CATS_DELETE_VOTE` | Delete Vote | Tool to delete a vote from your account by its ID. Use when you need to remove a previously submitted vote for a cat image. |
| `CATS_GET_BREED` | Get Cat Breed by ID | Tool to get detailed information about a specific cat breed by its ID. Use when you need comprehensive details about a particular breed including temperament, origin, characteristics, and URLs. |
| `CATS_GET_FAVOURITE` | Get Favourite by ID | Tool to retrieve a specific favourite by its unique ID. Returns full favourite details including user ID, image ID, creation timestamp, and associated image data. Use when you need to fetch a particular favourite's information or verify favourite existence. |
| `CATS_GET_IMAGE` | Get Cat Image by ID | Tool to retrieve a specific cat image by its unique ID. Returns full image details including URL, dimensions, and breed information if available. Use when you need to fetch a particular image's data or verify image existence. |
| `CATS_GET_IMAGE_ANALYSIS` | Get Image Analysis | Get machine learning analysis results for an uploaded image. Returns labels with confidence scores, bounding boxes for detected objects, and content moderation results from ML vendors. Note: GIF images are not supported for analysis. |
| `CATS_GET_IMAGE_BREEDS` | Get Image Breeds | Tool to retrieve breed information associated with a specific cat image. Use when you need to identify which breed(s) are shown in a particular image from The Cat API. |
| `CATS_GET_PORTALS` | Get Cat Breeds | Retrieves a paginated list of cat breeds from The Cat API. Returns comprehensive breed information including name, description, temperament, origin, life span, and weight. Use this to browse available cat breeds or search for specific breed information. |
| `CATS_GET_VOTE` | Get Vote by ID | Retrieves a specific vote by its unique ID from The Cat API. Returns detailed vote information including the image ID, vote value, timestamp, and optional metadata like sub_id and country code. Use this when you need to fetch details about a specific vote. |
| `CATS_LIST_CATEGORIES` | List Image Categories | Retrieves a list of all active image categories from The Cat API. Categories include hats, sunglasses, boxes, sinks, and more. Use category IDs when searching or filtering images by category. |
| `CATS_LIST_FAVOURITES` | List Favourites | Tool to get all favourites belonging to your account. Use when you need to retrieve saved cat images, optionally filtered by sub_id. Supports pagination to browse through large collections of favourites. |
| `CATS_LIST_UPLOADED_IMAGES` | List Uploaded Images | Tool to get all images uploaded to your account via /images/upload. Supports pagination and filtering by sub_id or original filename. Use this to retrieve your uploaded images, check if a file already exists, or filter by user identifiers. The API returns images in order of upload date. |
| `CATS_LIST_VOTES` | List Votes | Tool to retrieve all votes you have created. Returns a paginated list of votes with image IDs, vote values, and metadata. Use this to view voting history, filter by user segment (sub_id), or analyze vote patterns. |
| `CATS_SEARCH_BREEDS` | Search Cat Breeds | Search for cat breeds by name. Use the 'q' parameter with part or all of the breed name to find matching breeds. Returns breed details including temperament, origin, and characteristics. |
| `CATS_SEARCH_IMAGES` | Search Cat Images | Search for random cat images with optional filters. Filter by breed availability, size, and file type. Returns an array of image objects with URLs and metadata. Use this to find cat images for display, testing, or content generation. The default behavior returns 1 random cat image. |

## Supported Triggers

None listed.

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

The Cats MCP server is an implementation of the Model Context Protocol that connects your AI agent to Cats. It provides structured and secure access so your agent can perform Cats operations on your behalf through a secure, permission-based interface.
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

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

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

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 Cats.
```python
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
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
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())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only cats.
- The router checks the user's Cats connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Cats.
- This approach keeps things lightweight and lets the agent request Cats tools only when needed during the conversation.
```python
# Create a Cats Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["cats"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Cats
const session = await composio.create(userId as string, {
  toolkits: ['cats'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Cats. "
        "Help users perform Cats 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",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Cats. Help users perform Cats operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
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())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
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=["cats"]
)
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 Cats. "
        "Help users perform Cats 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())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['cats'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Cats. Help users perform Cats operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

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

- [Claude Agent SDK](https://composio.dev/toolkits/cats/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/cats/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/cats/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/cats/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/cats/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/cats/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/cats/framework/cli)
- [Google ADK](https://composio.dev/toolkits/cats/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/cats/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/cats/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/cats/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/cats/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/cats/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.
- [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.
- [Seat geek](https://composio.dev/toolkits/seat_geek) - SeatGeek is a live event platform offering APIs for concerts, sports, and theater data. Instantly access events, venues, and performers info for smarter ticketing and discovery.
- [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 Cats MCP?

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

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

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

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[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)