# How to integrate Exist MCP with Pydantic AI ```json { "title": "How to integrate Exist MCP with Pydantic AI", "toolkit": "Exist", "toolkit_slug": "exist", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/exist/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/exist/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:10:59.628Z" } ``` ## Introduction This guide walks you through connecting Exist to Pydantic AI using the Composio tool router. By the end, you'll have a working Exist agent that can show your top positive habits last month, list strongest correlations in your data, summarize your tracked mood this week through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Exist account through Composio's Exist MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Exist with - [OpenAI Agents SDK](https://composio.dev/toolkits/exist/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/exist/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/exist/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/exist/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/exist/framework/codex) - [OpenClaw](https://composio.dev/toolkits/exist/framework/openclaw) - [Hermes](https://composio.dev/toolkits/exist/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/exist/framework/cli) - [Google ADK](https://composio.dev/toolkits/exist/framework/google-adk) - [LangChain](https://composio.dev/toolkits/exist/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/exist/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/exist/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/exist/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/exist/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 Exist - 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 Exist 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 Exist MCP server, and what's possible with it? The Exist MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Exist account. It provides structured and secure access to your personal analytics data, so your agent can perform actions like analyzing correlations, retrieving user attributes, exploring supported metrics, and inspecting your profile on your behalf. - Personal profile access and insights: Instantly retrieve and review your Exist user profile, including preferences and account settings, to keep your agent aware of your context. - Attribute exploration and discovery: Browse and list all available attribute templates or user attributes, making it easy to understand what metrics you can track, analyze, or visualize. - Correlation analysis: Ask your agent to fetch and explore recent correlations between tracked attributes—like how weather or sleep might relate to your mood or productivity. - Custom analytics setup: Let your agent help you discover and understand supported attribute templates before you start tracking or updating new data points. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `EXIST_ACQUIRE_ATTRIBUTE_OWNERSHIP` | Acquire Attribute Ownership | Tool to acquire ownership of attributes for the authenticated user. Allows your service to write data to these attributes. Use when you need to create or take ownership of attributes before writing data. Acquiring a templated attribute the user doesn't have yet will create this attribute and give you ownership. | | `EXIST_GET_ATTRIBUTES_WITH_VALUES` | Get Attributes With Values | Tool to retrieve attributes with their current values for the authenticated user. Use when you need both attribute metadata and their historical values. Results are limited to your read scopes. | | `EXIST_GET_ATTRIBUTE_TEMPLATES` | Get Attribute Templates | Tool to retrieve a paged list of supported attribute templates. Use when you need to browse available templates before creating or updating data. | | `EXIST_GET_AVERAGES` | Get Averages | Tool to retrieve the most recent average values for each tracked attribute, with one set per week. Returns overall weekly averages plus daily breakdowns (Monday-Sunday). Use include_historical flag to retrieve historical average records. | | `EXIST_GET_CORRELATIONS` | Get Correlations | Retrieve a paginated list of correlations discovered between tracked attributes in the last week. Correlations reveal statistical relationships between different metrics (e.g., sleep duration vs mood). Filter by relationship strength, confidence level (statistical significance), or specific attributes. Returns correlation coefficients, p-values, and human-readable descriptions. | | `EXIST_GET_INSIGHTS` | Get Insights | Tool to retrieve automatically-generated insights about patterns in tracked data for the authenticated user. Insights are observations about correlations, trends, and anomalies (e.g., "You walked more on days you slept well"). Use when analyzing user behavior patterns or displaying personalized feedback. | | `EXIST_GET_OWNED_ATTRIBUTES` | Get Owned Attributes | Tool to retrieve attributes owned by your service for the authenticated user. Use when you need to limit data updates to only the attributes your service controls. | | `EXIST_GET_USER_ATTRIBUTES` | Get User Attributes | Tool to retrieve a paged list of the user's attributes without values. Use when you need metadata on available attributes for filtering or selection. Omitting `groups` and `attributes` filters returns the full attribute catalog; use those filters to narrow results and avoid oversized responses. | | `EXIST_EXIST_GET_USER_PROFILE` | Get User Profile | Tool to retrieve the authenticated user's profile details and preferences. Use after authentication to inspect account settings and status. OAuth scopes granted during authentication determine which fields are returned; missing fields indicate insufficient scopes. Response includes a timezone field; use it when interpreting any date-based attributes. | | `EXIST_INCREMENT_ATTRIBUTE_VALUES` | Increment Attribute Values | Tool to increment attribute values by a delta amount rather than setting totals. Use for counters and cumulative data. Does not work with string, scale, or time of day attributes. | | `EXIST_EXIST_OAUTH2_AUTHORIZE` | Exist OAuth2 Authorize | Constructs an OAuth2 authorization URL for Exist.io. This tool generates the URL that users must visit in their browser to grant permissions to your application. After user consent, Exist redirects back to your redirect_uri with an authorization code that can be exchanged for an access token. This action does not make an API call - it only builds the authorization URL. | | `EXIST_RELEASE_ATTRIBUTE_OWNERSHIP` | Release Attribute Ownership | Tool to release ownership of attributes for the authenticated user. Use when your service will stop providing data for an attribute or becomes inactive. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Exist MCP server is an implementation of the Model Context Protocol that connects your AI agent to Exist. It provides structured and secure access so your agent can perform Exist 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 Exist - 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 Exist - MCPServerStreamableHTTP connects to the Exist 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 Exist 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 Exist composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["exist"], ) 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 Exist endpoint - The agent uses GPT-5 to interpret user commands and perform Exist operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent exist_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[exist_mcp], instructions=( "You are a Exist assistant. Use Exist 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 - Exist 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 Exist.\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 Exist composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["exist"], ) 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 exist_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[exist_mcp], instructions=( "You are a Exist assistant. Use Exist 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 Exist.\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 Exist through Composio's Tool Router. With this setup, your agent can perform real Exist 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 + Exist 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 Exist MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/exist/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/exist/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/exist/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/exist/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/exist/framework/codex) - [OpenClaw](https://composio.dev/toolkits/exist/framework/openclaw) - [Hermes](https://composio.dev/toolkits/exist/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/exist/framework/cli) - [Google ADK](https://composio.dev/toolkits/exist/framework/google-adk) - [LangChain](https://composio.dev/toolkits/exist/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/exist/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/exist/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/exist/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/exist/framework/crew-ai) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements. - [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints. - [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots. - [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches. - [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand. - [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance. - [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows. - [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses. - [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research. - [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction. - [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation. - [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation. - [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Exist MCP? With a standalone Exist MCP server, the agents and LLMs can only access a fixed set of Exist tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Exist 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 Exist tools. ### Can I manage the permissions and scopes for Exist while using Tool Router? Yes, absolutely. You can configure which Exist 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 Exist data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)