# How to integrate Magnetic MCP with Pydantic AI ```json { "title": "How to integrate Magnetic MCP with Pydantic AI", "toolkit": "Magnetic", "toolkit_slug": "magnetic", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/magnetic/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/magnetic/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:18:03.282Z" } ``` ## Introduction This guide walks you through connecting Magnetic to Pydantic AI using the Composio tool router. By the end, you'll have a working Magnetic agent that can list all upcoming follow-ups for me, search client contacts by company name, get all tags for contact id 123 through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Magnetic account through Composio's Magnetic MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Magnetic with - [OpenAI Agents SDK](https://composio.dev/toolkits/magnetic/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/magnetic/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/magnetic/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/magnetic/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/magnetic/framework/codex) - [OpenClaw](https://composio.dev/toolkits/magnetic/framework/openclaw) - [Hermes](https://composio.dev/toolkits/magnetic/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/magnetic/framework/cli) - [Google ADK](https://composio.dev/toolkits/magnetic/framework/google-adk) - [LangChain](https://composio.dev/toolkits/magnetic/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/magnetic/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/magnetic/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/magnetic/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/magnetic/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 Magnetic - 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 Magnetic 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 Magnetic MCP server, and what's possible with it? The Magnetic MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Magnetic account. It provides structured and secure access to your projects, client contacts, users, and task data, so your agent can perform actions like managing follow-ups, searching contacts, retrieving project statuses, and organizing your team’s workflow with ease. - Personal follow-up and task management: Automatically retrieve your upcoming follow-ups or tasks so you never miss important deadlines or action items. - Client contact discovery and tagging: Search for client contacts using specific criteria and view all tags associated with any contact to keep your CRM up to date and organized. - Project grouping and status tracking: Fetch groupings, view their statuses, and retrieve project-related tags to stay on top of ongoing jobs and opportunities. - User and team information access: Instantly pull details about any team member or audit the list of all users in your company for better collaboration and resource planning. - Opportunity status monitoring: Check the latest opportunity statuses to track sales pipelines or unsigned deals directly from your agent. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MAGNETIC_CLIENTS_GET_CURRENT_FOLLOWUPS` | Get Current Follow-ups | Tool to retrieve upcoming follow-ups assigned to the authenticated user. Use after authentication to view scheduled tasks. | | `MAGNETIC_CLIENTS_SEARCH_CONTACTS` | Search Client Contacts | Tool to search contacts by field or client ID. Use when you need to retrieve client contacts matching given criteria after authentication. | | `MAGNETIC_CREATE_GROUPING` | Create Magnetic Grouping | Tool to create a new opportunity or job (grouping) in Magnetic HQ. Use when you need to organize tasks and track project progress for a new opportunity or job. | | `MAGNETIC_CREATE_TASK` | Create Magnetic Task | Tool to create a new task in Magnetic HQ. Use when you need to add tasks to the system, optionally assigning them to users or linking to opportunities. | | `MAGNETIC_GET_CONTACT_TAGS` | Get Contact Tags | Tool to get all tags associated with a contact. Use after confirming the contactId to list contact tags. | | `MAGNETIC_GET_GROUPING_BY_ID` | Get Magnetic Grouping by ID | Tool to retrieve details for a specific grouping (opportunity/job) by its ID. Use when you need detailed information about a specific grouping. | | `MAGNETIC_GET_GROUPING_STATUSES` | Get Grouping Statuses | Tool to retrieve the list of statuses for signed groupings. Use after authentication when you need available grouping status options for tasks or jobs. | | `MAGNETIC_GET_GROUPING_TAGS` | Get Grouping Tags | Tool to retrieve tags associated with any groupings owned by the company. Use after authentication when grouping tags are needed. | | `MAGNETIC_GET_OPPORTUNITY_STATUSES` | Get Magnetic Opportunity Statuses | Tool to retrieve opportunity statuses. Use when you need current status options for unsigned groupings (opportunities). | | `MAGNETIC_GET_TASK` | Get Magnetic Task | Tool to retrieve a task by its ID. Use after confirming you have the taskId. | | `MAGNETIC_GET_USER_BY_ID` | Get User by ID | Tool to retrieve details for a specific Magnetic user by their ID. Use when you need to fetch a user's profile information. | | `MAGNETIC_GET_USERS` | Get Users | Tool to retrieve the list of all users in the authenticated user's company. Use after authentication to audit or manage user accounts. | | `MAGNETIC_LIST_COMPANIES` | List Companies | Tool to retrieve all companies from the Magnetic HQ account. Use after authentication to view all client companies. | | `MAGNETIC_TASKS_GET_GROUPING_CUSTOM_FIELD_DEFINITIONS` | Get Grouping Custom Field Definitions | Tool to retrieve all custom field definitions for groupings. Use after authentication when you need to fetch available grouping custom field definitions for tasks. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Magnetic MCP server is an implementation of the Model Context Protocol that connects your AI agent to Magnetic. It provides structured and secure access so your agent can perform Magnetic 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 Magnetic - 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 Magnetic - MCPServerStreamableHTTP connects to the Magnetic 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 Magnetic 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 Magnetic composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["magnetic"], ) 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 Magnetic endpoint - The agent uses GPT-5 to interpret user commands and perform Magnetic operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent magnetic_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[magnetic_mcp], instructions=( "You are a Magnetic assistant. Use Magnetic 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 - Magnetic 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 Magnetic.\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 Magnetic composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["magnetic"], ) 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 magnetic_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[magnetic_mcp], instructions=( "You are a Magnetic assistant. Use Magnetic 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 Magnetic.\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 Magnetic through Composio's Tool Router. With this setup, your agent can perform real Magnetic 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 + Magnetic 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 Magnetic MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/magnetic/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/magnetic/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/magnetic/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/magnetic/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/magnetic/framework/codex) - [OpenClaw](https://composio.dev/toolkits/magnetic/framework/openclaw) - [Hermes](https://composio.dev/toolkits/magnetic/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/magnetic/framework/cli) - [Google ADK](https://composio.dev/toolkits/magnetic/framework/google-adk) - [LangChain](https://composio.dev/toolkits/magnetic/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/magnetic/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/magnetic/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/magnetic/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/magnetic/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [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. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. - [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place. - [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives. - [Boxhero](https://composio.dev/toolkits/boxhero) - Boxhero is a cloud-based inventory management platform for SMBs, offering real-time updates, barcode scanning, and team collaboration. It helps businesses streamline stock tracking and analytics for smarter inventory decisions. - [Breathe HR](https://composio.dev/toolkits/breathehr) - Breathe HR is cloud-based HR software for SMEs to manage employee data, absences, and performance. It simplifies HR admin, making it easy to keep employee records accurate and up to date. - [Breeze](https://composio.dev/toolkits/breeze) - Breeze is a project management platform designed to help teams plan, track, and collaborate on projects. It streamlines workflows and keeps everyone on the same page. - [Bugherd](https://composio.dev/toolkits/bugherd) - Bugherd is a visual feedback and bug tracking tool for websites. It helps teams and clients report website issues directly on live sites for faster fixes. - [Canny](https://composio.dev/toolkits/canny) - Canny is a platform for managing customer feedback and feature requests. It helps teams prioritize product decisions based on real user insights. - [Chmeetings](https://composio.dev/toolkits/chmeetings) - Chmeetings is a church management platform for events, members, donations, and volunteers. It streamlines church operations and improves community engagement. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Magnetic MCP? With a standalone Magnetic MCP server, the agents and LLMs can only access a fixed set of Magnetic tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Magnetic 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 Magnetic tools. ### Can I manage the permissions and scopes for Magnetic while using Tool Router? Yes, absolutely. You can configure which Magnetic 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 Magnetic data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)