# How to integrate Expofp MCP with Pydantic AI ```json { "title": "How to integrate Expofp MCP with Pydantic AI", "toolkit": "Expofp", "toolkit_slug": "expofp", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/expofp/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/expofp/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:11:02.339Z" } ``` ## Introduction This guide walks you through connecting Expofp to Pydantic AI using the Composio tool router. By the end, you'll have a working Expofp agent that can add new category 'workshops' to event 1023, list all extras available for expo 2048, update category #7 name to 'vip sessions' through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Expofp account through Composio's Expofp MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Expofp with - [OpenAI Agents SDK](https://composio.dev/toolkits/expofp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/expofp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/expofp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/expofp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/expofp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/expofp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/expofp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/expofp/framework/cli) - [Google ADK](https://composio.dev/toolkits/expofp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/expofp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/expofp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/expofp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/expofp/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/expofp/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 Expofp - 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 Expofp 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 Expofp MCP server, and what's possible with it? The Expofp MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Expofp account. It provides structured and secure access to your expo and floor plan data, so your agent can manage categories, list expo details, and streamline event organization tasks for you. - Seamless expo management: Instantly list all expos linked to your Expofp account, making it easy to keep track of multiple events. - Effortless category creation: Direct your agent to add new categories to any expo, supporting better organization and event structure in seconds. - Category updates and edits: Quickly update existing category names or details for any event, so your event structure always matches your latest needs. - Streamlined category removal: Have the agent remove outdated or unnecessary categories from your expos, keeping your event data clean and relevant. - Comprehensive extras listing: Retrieve all extras for a specific expo, helping you review and manage additional event options or features at a glance. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `EXPOFP_ADD_CATEGORY` | Add Category | Tool to add a new category to an expo. Use when you have both the expo event ID and a valid API token. Example: "Add category 'Keynotes' to event 2655." | | `EXPOFP_DELETE_EXHIBITOR` | Delete Exhibitor | Tool to delete an exhibitor from an expo by their ID. Use when you have the exhibitor ID and a valid API token. | | `EXPOFP_DELETE_SESSION_SPEAKERS` | Delete Session Speakers | Tool to delete session speakers by their IDs. Use when you need to remove one or more session speakers from an expo. | | `EXPOFP_DELETE_SESSION_TRACKS` | Delete Session Tracks | Tool to delete session tracks by IDs from an expo. Use when you need to remove multiple session tracks. Provide the expo ID, API token, and list of session track IDs to delete. | | `EXPOFP_GET_BULK_READ_EXHIBITORS_TEMPLATE` | Get Bulk Read Exhibitors Template | Tool to get the template structure for bulk reading exhibitors from an expo. Use when you need to understand the required format for bulk importing exhibitor data. | | `EXPOFP_GET_OFFLINE_ARCHIVE` | Get Offline Archive | Lightweight retrieval of offline archive state that never starts a build. Returns the current known ExpoOfflineState for the specified version if available, or null if not. Use when you need to check the status of an existing archive without triggering a new build. | | `EXPOFP_GET_OR_CREATE_OFFLINE_ARCHIVE` | Get or Create Offline Archive | Retrieve the offline archive state for a specific expo version. If the archive does not exist and the requested version is 'latest', the server automatically starts the creation process and returns the build state. Use this action when you need to download an expo for offline use or check the status of an ongoing archive build. The optional waitseconds parameter enables server-side polling for synchronous workflows. | | `EXPOFP_GET_SESSION_TRACKS` | Get Session Tracks | Retrieve all session tracks for a specific expo event. Session tracks are categories or themes used to organize sessions within an expo, such as "Technology", "Marketing", "Product", etc. This action returns the complete list of tracks with their IDs, names, external IDs, and color codes. Use this action when you need to categorize or filter sessions by track. Example: "Get all session tracks for expo 32971" | | `EXPOFP_LIST_ALL_EXPO_EXTRAS` | List All Expo Extras | Retrieves all extras (additional services/items) available for a specific expo event, including general extras and booth-specific extras with exhibitor details. Use this action to get a comprehensive list of purchasable extras for an event. Example: "List all extras for event 2655." | | `EXPOFP_LIST_ALL_EXPOS` | List All Expos | Retrieve all expos (events/exhibitions) accessible with the authenticated ExpoFP account. This action fetches a complete list of expos with their details including event IDs, names, descriptions, dates, time zones, locations, and status. The expo IDs returned can be used with other ExpofP actions that require an event ID parameter. No input parameters are required - the action uses the authentication token to determine which expos the user has access to. Example usage: - "List all my expos" - "Show me all available events" - "Get all expo IDs" | | `EXPOFP_LIST_CATEGORIES` | List Categories | Retrieve all categories for a specific expo event. This action fetches a complete list of categories with their IDs and names for a given expo. The category IDs returned can be used with other ExpofP actions that require a category ID parameter (e.g., updating or removing categories). Use this action when you need to see all categories configured for an expo. Example: "List all categories for event 32971" or "Show me categories for expo 2655". | | `EXPOFP_LIST_EXHIBITORS` | Bulk Read Exhibitors | Tool to bulk read exhibitors from an expo with customizable response template. This action retrieves all exhibitors from a specified expo. You can optionally provide a response template to control which fields are returned, or pass null/omit the template to receive all available exhibitor data. Use when you need to fetch exhibitor information from an expo event. The expo ID can be obtained from the List All Expos action. | | `EXPOFP_REMOVE_CATEGORY` | Remove Category | Tool to remove a category from an expo. Use when you have the category ID and a valid API token. Example: "Remove category #123." | | `EXPOFP_SET_EXHIBITOR_LOGO` | Set Exhibitor Logo | Tool to set or remove an exhibitor logo using multipart/form-data. Use when you need to upload a logo image file or provide an image URL for an exhibitor, or remove an existing logo by passing null for the image file. | | `EXPOFP_UPDATE_CATEGORY` | Update Category | Tool to update an existing category. Use when you have the category ID and a valid API token. Example: "Update category #1 name to 'Category Blue'." | | `EXPOFP_UPDATE_EXHIBITOR` | Update Exhibitor | Tool to update an existing exhibitor. Use when you have the exhibitor ID and want to modify exhibitor details. Only fields provided in the request are updated; undefined fields remain unchanged. | | `EXPOFP_UPSERT_SESSIONS` | Upsert Sessions | Tool to create or update sessions in bulk for an expo event. Sessions are upserted based on externalId if provided - existing sessions with matching externalId are updated, otherwise new sessions are created. Use this action when you need to add new sessions to an event or update existing sessions. Example: "Add a keynote session to expo 32971" or "Update session details for external ID 'session-001'." | | `EXPOFP_UPSERT_SESSION_TRACKS` | Upsert Session Tracks | Tool to create or update session tracks in bulk for an expo. Use when you need to add new tracks or modify existing ones. Provide an id in the track object to update; omit it to create new. Example: "Create a new session track called 'Workshops' with color #FF5733." | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Expofp MCP server is an implementation of the Model Context Protocol that connects your AI agent to Expofp. It provides structured and secure access so your agent can perform Expofp 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 Expofp - 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 Expofp - MCPServerStreamableHTTP connects to the Expofp 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 Expofp 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 Expofp composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["expofp"], ) 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 Expofp endpoint - The agent uses GPT-5 to interpret user commands and perform Expofp operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent expofp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[expofp_mcp], instructions=( "You are a Expofp assistant. Use Expofp 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 - Expofp 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 Expofp.\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 Expofp composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["expofp"], ) 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 expofp_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[expofp_mcp], instructions=( "You are a Expofp assistant. Use Expofp 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 Expofp.\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 Expofp through Composio's Tool Router. With this setup, your agent can perform real Expofp 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 + Expofp 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 Expofp MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/expofp/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/expofp/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/expofp/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/expofp/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/expofp/framework/codex) - [OpenClaw](https://composio.dev/toolkits/expofp/framework/openclaw) - [Hermes](https://composio.dev/toolkits/expofp/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/expofp/framework/cli) - [Google ADK](https://composio.dev/toolkits/expofp/framework/google-adk) - [LangChain](https://composio.dev/toolkits/expofp/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/expofp/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/expofp/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/expofp/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/expofp/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 Expofp MCP? With a standalone Expofp MCP server, the agents and LLMs can only access a fixed set of Expofp tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Expofp 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 Expofp tools. ### Can I manage the permissions and scopes for Expofp while using Tool Router? Yes, absolutely. You can configure which Expofp 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 Expofp data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)