# How to integrate Chatfai MCP with Pydantic AI ```json { "title": "How to integrate Chatfai MCP with Pydantic AI", "toolkit": "Chatfai", "toolkit_slug": "chatfai", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/chatfai/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/chatfai/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:06:06.306Z" } ``` ## Introduction This guide walks you through connecting Chatfai to Pydantic AI using the Composio tool router. By the end, you'll have a working Chatfai agent that can get details for harry potter character, show info about sherlock holmes character, fetch profile for spider-man character through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Chatfai account through Composio's Chatfai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Chatfai with - [OpenAI Agents SDK](https://composio.dev/toolkits/chatfai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/chatfai/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/chatfai/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/chatfai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/chatfai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/chatfai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/chatfai/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/chatfai/framework/cli) - [Google ADK](https://composio.dev/toolkits/chatfai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/chatfai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/chatfai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/chatfai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/chatfai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/chatfai/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Chatfai - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Chatfai workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## What is the Chatfai MCP server, and what's possible with it? The Chatfai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Chatfai account. It provides structured and secure access to the Chatfai platform, so your agent can browse, retrieve, and interact with AI-generated fictional characters from across media on your behalf. - Fetch character details by ID: Instantly retrieve comprehensive information on any public AI character by providing its unique identifier. - Access character backgrounds and attributes: Let your agent pull background stories, personality traits, and media origins for specific characters. - Enable character discovery: Use your agent to surface information about new or trending public characters in the Chatfai ecosystem. - Integrate character data into chat experiences: Seamlessly incorporate retrieved character info into custom conversational flows or creative projects. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CHATFAI_CHATFAI_GET_PUBLIC_CHARACTER_BY_ID` | Get Public Character By ID | Tool to retrieve a public character by its ID. Use when you need to fetch details of a single public character by providing its unique ID. | | `CHATFAI_LIST_CHATFAI_CONVERSATIONS` | List Conversations | Tool to list conversations for the authenticated user. Use when you need to retrieve the user's chat conversations or verify authentication status. | | `CHATFAI_SEARCH_CHARACTERS` | Search Characters | Tool to search for public characters on ChatFAI by name or keyword. Use when you need to find characters matching a specific search query. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Chatfai MCP server is an implementation of the Model Context Protocol that connects your AI agent to Chatfai. It provides structured and secure access so your agent can perform Chatfai 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: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 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 the required libraries. What's happening: - composio connects your agent to external SaaS tools like Chatfai - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Chatfai - MCPServerStreamableHTTP connects to the Chatfai MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Chatfai tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Chatfai composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["chatfai"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Chatfai endpoint - The agent uses GPT-5 to interpret user commands and perform Chatfai operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent chatfai_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[chatfai_mcp], instructions=( "You are a Chatfai assistant. Use Chatfai tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Chatfai API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Chatfai.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Chatfai composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["chatfai"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent chatfai_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[chatfai_mcp], instructions=( "You are a Chatfai assistant. Use Chatfai tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Chatfai.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Chatfai through Composio's Tool Router. With this setup, your agent can perform real Chatfai actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Chatfai for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build Chatfai MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/chatfai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/chatfai/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/chatfai/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/chatfai/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/chatfai/framework/codex) - [OpenClaw](https://composio.dev/toolkits/chatfai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/chatfai/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/chatfai/framework/cli) - [Google ADK](https://composio.dev/toolkits/chatfai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/chatfai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/chatfai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/chatfai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/chatfai/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/chatfai/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. - [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 Chatfai MCP? With a standalone Chatfai MCP server, the agents and LLMs can only access a fixed set of Chatfai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Chatfai and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Pydantic AI? Yes, you can. Pydantic AI 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 Chatfai tools. ### Can I manage the permissions and scopes for Chatfai while using Tool Router? Yes, absolutely. You can configure which Chatfai 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 Chatfai data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)