# How to integrate Attio MCP with Pydantic AI ```json { "title": "How to integrate Attio MCP with Pydantic AI", "toolkit": "Attio", "toolkit_slug": "attio", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/attio/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/attio/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:01:42.701Z" } ``` ## Introduction This guide walks you through connecting Attio to Pydantic AI using the Composio tool router. By the end, you'll have a working Attio agent that can add a meeting note to john smith’s record, find all companies added this week, list recent notes for acme corp through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Attio account through Composio's Attio MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Attio with - [ChatGPT](https://composio.dev/toolkits/attio/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/attio/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/attio/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/attio/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/attio/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/attio/framework/codex) - [Cursor](https://composio.dev/toolkits/attio/framework/cursor) - [VS Code](https://composio.dev/toolkits/attio/framework/vscode) - [OpenCode](https://composio.dev/toolkits/attio/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/attio/framework/openclaw) - [Hermes](https://composio.dev/toolkits/attio/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/attio/framework/cli) - [Google ADK](https://composio.dev/toolkits/attio/framework/google-adk) - [LangChain](https://composio.dev/toolkits/attio/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/attio/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/attio/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/attio/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/attio/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 Attio - 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 Attio 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 Attio MCP server, and what's possible with it? The Attio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Attio account. It provides structured and secure access to your team’s relationship and workflow data, so your agent can perform actions like creating records, managing notes, searching your CRM, and organizing lists on your behalf. - Automated record management: Effortlessly create, update, or permanently delete records for people, companies, deals, and more in your Attio workspace. - Smart note taking and retrieval: Let your agent create, list, or delete notes attached to any record, keeping important context and meeting details organized for your team. - Powerful object and list navigation: Retrieve and explore all available objects or lists within your workspace, making it easy for your AI to understand and organize your CRM structure. - Advanced record search and filtering: Find specific CRM records either by unique ID or by searching with custom attributes, ensuring your agent surfaces the right data when you need it. - Comprehensive workspace insight: Get detailed information about object types and their attributes, so your AI-powered workflows always use the right fields and relationships. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ATTIO_CREATE_NOTE` | Create Note | This tool creates a new note on a given record in attio. the note can be attached to any record type (like person, company, or deal) and includes a title and content. it requires parameters such as parent object, parent record id, title, and content, with an optional created at timestamp. | | `ATTIO_CREATE_RECORD` | Create Record | This tool creates a new record in attio for a specified object type (people, companies, deals, users, workspaces, etc.). it requires the object type and a values dictionary containing the attributes for the new record. | | `ATTIO_DELETE_NOTE` | Delete Note | This tool allows users to delete a specific note in attio by its id. it is implemented via delete https://api.attio.com/v2/notes/{note id} and handles note deletion by validating the provided note id. it complements attio create note functionality, providing complete note management capabilities within the attio platform. | | `ATTIO_DELETE_RECORD` | Delete Record | This tool allows you to delete a record from attio permanently. the deletion is irreversible, and the data will eventually be removed from the system. | | `ATTIO_FIND_RECORD` | Find Record | This tool allows users to find a record in attio by either its unique id or by searching using unique attributes. it provides two methods: one for directly retrieving a record by its id with the get /v2/objects/{object}/records/{record id} endpoint, and another for searching by attributes using the post /v2/objects/{object}/records/query endpoint. | | `ATTIO_GET_OBJECT` | Get Object Details | This tool retrieves detailed information about a specific object type in attio, including all its attributes and their properties. this is useful for understanding what fields are available when creating or updating records of this type. | | `ATTIO_LIST_LISTS` | List Lists | This tool retrieves all lists available in the attio workspace. the lists are returned sorted as they appear in the sidebar. this tool is essential for managing and navigating lists, and is a prerequisite for many list-related operations. it requires the list configuration:read permission scope. | | `ATTIO_LIST_NOTES` | List Notes | This tool lists all notes associated with a specific record in attio. notes are returned in reverse chronological order (newest first). | | `ATTIO_LIST_OBJECTS` | List Objects | This tool retrieves a list of all available objects (both system-defined and user-defined) in the attio workspace. it makes a get request to the /v2/objects endpoint and returns a json response containing key metadata about each object, which is fundamental for understanding and accessing the workspace's structure. | | `ATTIO_LIST_RECORDS` | List Records | This tool lists records from a specific object type in attio. it provides simple pagination support and returns records in the order they were created. for complex filtering, use the findrecord action instead. standard object types include: people, companies, deals, users, workspaces. if you get a 404 error, verify the object type exists using the list objects action first. | | `ATTIO_UPDATE_RECORD` | Update Record | This tool updates an existing record in attio for a specified object type (people, companies, deals, users, workspaces, etc.). it uses patch to partially update only the provided fields, leaving other fields unchanged. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Attio MCP server is an implementation of the Model Context Protocol that connects your AI agent to Attio. It provides structured and secure access so your agent can perform Attio 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 Attio - 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 Attio - MCPServerStreamableHTTP connects to the Attio 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 Attio 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 Attio composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["attio"], ) 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 Attio endpoint - The agent uses GPT-5 to interpret user commands and perform Attio operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent attio_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[attio_mcp], instructions=( "You are a Attio assistant. Use Attio 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 - Attio 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 Attio.\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 Attio composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["attio"], ) 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 attio_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[attio_mcp], instructions=( "You are a Attio assistant. Use Attio 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 Attio.\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 Attio through Composio's Tool Router. With this setup, your agent can perform real Attio 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 + Attio 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 Attio MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/attio/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/attio/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/attio/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/attio/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/attio/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/attio/framework/codex) - [Cursor](https://composio.dev/toolkits/attio/framework/cursor) - [VS Code](https://composio.dev/toolkits/attio/framework/vscode) - [OpenCode](https://composio.dev/toolkits/attio/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/attio/framework/openclaw) - [Hermes](https://composio.dev/toolkits/attio/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/attio/framework/cli) - [Google ADK](https://composio.dev/toolkits/attio/framework/google-adk) - [LangChain](https://composio.dev/toolkits/attio/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/attio/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/attio/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/attio/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/attio/framework/crew-ai) ## Related Toolkits - [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place. - [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up. - [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships. - [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place. - [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities. - [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place. - [Bettercontact](https://composio.dev/toolkits/bettercontact) - Bettercontact is a smart contact enrichment tool for finding emails and phone numbers. It helps boost lead generation with automated, waterfall search across multiple sources. - [Blackbaud](https://composio.dev/toolkits/blackbaud) - Blackbaud provides cloud-based software for nonprofits, schools, and healthcare institutions. It streamlines fundraising, donor management, and mission-driven operations. - [Brilliant directories](https://composio.dev/toolkits/brilliant_directories) - Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface. - [Capsule crm](https://composio.dev/toolkits/capsule_crm) - Capsule CRM is a user-friendly CRM platform for managing contacts and sales pipelines. It helps businesses organize relationships and streamline their sales process efficiently. - [Centralstationcrm](https://composio.dev/toolkits/centralstationcrm) - CentralStationCRM is an easy-to-use CRM software focused on collaboration and long-term customer relationships. It helps teams manage contacts, deals, and communications all in one place. - [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time. - [Close](https://composio.dev/toolkits/close) - Close is a CRM platform built for sales teams, combining calling, email automation, and predictive dialers. It streamlines sales workflows and boosts productivity with all-in-one communication tools. - [Dropcontact](https://composio.dev/toolkits/dropcontact) - Dropcontact is a B2B email finder and data enrichment service for professionals. It delivers verified email addresses and enriches contact info with up-to-date data. - [Dynamics365](https://composio.dev/toolkits/dynamics365) - Dynamics 365 is Microsoft's platform combining CRM, ERP, and productivity apps. It streamlines sales, marketing, service, and operations in one place. - [Espocrm](https://composio.dev/toolkits/espocrm) - EspoCRM is an open-source web application for managing customer relationships. It helps businesses organize contacts, track leads, and streamline their sales process. - [Fireberry](https://composio.dev/toolkits/fireberry) - Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools. - [Firmao](https://composio.dev/toolkits/firmao) - Firmao is a business information platform offering company, industry, and market data. Use it to quickly research firms and gain competitive market insights. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Attio MCP? With a standalone Attio MCP server, the agents and LLMs can only access a fixed set of Attio tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Attio 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 Attio tools. ### Can I manage the permissions and scopes for Attio while using Tool Router? Yes, absolutely. You can configure which Attio 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 Attio data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)