# How to integrate Livesession MCP with Pydantic AI ```json { "title": "How to integrate Livesession MCP with Pydantic AI", "toolkit": "Livesession", "toolkit_slug": "livesession", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/livesession/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/livesession/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:17:50.772Z" } ``` ## Introduction This guide walks you through connecting Livesession to Pydantic AI using the Composio tool router. By the end, you'll have a working Livesession agent that can show most recent user sessions from today, list sessions from users in germany, find sessions with rage clicks this week through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Livesession account through Composio's Livesession MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Livesession with - [OpenAI Agents SDK](https://composio.dev/toolkits/livesession/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/livesession/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/livesession/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/livesession/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/livesession/framework/codex) - [OpenClaw](https://composio.dev/toolkits/livesession/framework/openclaw) - [Hermes](https://composio.dev/toolkits/livesession/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/livesession/framework/cli) - [Google ADK](https://composio.dev/toolkits/livesession/framework/google-adk) - [LangChain](https://composio.dev/toolkits/livesession/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/livesession/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/livesession/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/livesession/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/livesession/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 Livesession - 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 Livesession 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 Livesession MCP server, and what's possible with it? The Livesession MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Livesession account. It provides structured and secure access to your session replay and analytics data, so your agent can perform actions like listing live sessions, filtering user interactions, and extracting user behavior insights on your behalf. - Session discovery and listing: Instantly retrieve a paginated list of recent or active user sessions on your website for fast analysis. - Filter sessions by criteria: Ask your agent to display sessions based on user actions, device type, time ranges, or custom properties. - Analyze user journeys: Let the agent surface sessions where users performed specific behaviors, uncovering bottlenecks or drop-off points. - Support troubleshooting: Quickly pull up live session data for users who report issues, making debugging and customer support more efficient. - Behavioral insight extraction: Enable your agent to summarize key trends from live session data, like most common navigation paths or frequent interaction points. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `LIVESESSION_LIST_SESSIONS` | List Live Sessions | Tool to list live sessions. Use when you need paginated session data filtered by criteria after authentication. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Livesession MCP server is an implementation of the Model Context Protocol that connects your AI agent to Livesession. It provides structured and secure access so your agent can perform Livesession 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 Livesession - 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 Livesession - MCPServerStreamableHTTP connects to the Livesession 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 Livesession 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 Livesession composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["livesession"], ) 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 Livesession endpoint - The agent uses GPT-5 to interpret user commands and perform Livesession operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent livesession_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[livesession_mcp], instructions=( "You are a Livesession assistant. Use Livesession 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 - Livesession 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 Livesession.\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 Livesession composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["livesession"], ) 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 livesession_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[livesession_mcp], instructions=( "You are a Livesession assistant. Use Livesession 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 Livesession.\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 Livesession through Composio's Tool Router. With this setup, your agent can perform real Livesession 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 + Livesession 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 Livesession MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/livesession/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/livesession/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/livesession/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/livesession/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/livesession/framework/codex) - [OpenClaw](https://composio.dev/toolkits/livesession/framework/openclaw) - [Hermes](https://composio.dev/toolkits/livesession/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/livesession/framework/cli) - [Google ADK](https://composio.dev/toolkits/livesession/framework/google-adk) - [LangChain](https://composio.dev/toolkits/livesession/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/livesession/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/livesession/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/livesession/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/livesession/framework/crew-ai) ## Related Toolkits - [Firecrawl](https://composio.dev/toolkits/firecrawl) - Firecrawl automates large-scale web crawling and data extraction. It helps organizations efficiently gather, index, and analyze content from online sources. - [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research. - [Exa](https://composio.dev/toolkits/exa) - Exa is a data extraction and search platform for gathering and analyzing information from websites, APIs, or databases. It helps teams quickly surface insights and automate data-driven workflows. - [Serpapi](https://composio.dev/toolkits/serpapi) - SerpApi is a real-time API for structured search engine results. It lets you automate SERP data collection, parsing, and analysis for SEO and research. - [Peopledatalabs](https://composio.dev/toolkits/peopledatalabs) - Peopledatalabs delivers B2B data enrichment and identity resolution APIs. 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It helps you quickly gather, track, and act on customer sentiment. - [Dovetail](https://composio.dev/toolkits/dovetail) - Dovetail is a research analysis platform for transcript review and insight generation. It helps teams code interviews, analyze feedback, and create actionable research summaries. - [Dub](https://composio.dev/toolkits/dub) - Dub is a short link management platform with analytics and API access. Use it to easily create, manage, and track branded short links for your business. - [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Livesession MCP? With a standalone Livesession MCP server, the agents and LLMs can only access a fixed set of Livesession tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Livesession 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 Livesession tools. ### Can I manage the permissions and scopes for Livesession while using Tool Router? Yes, absolutely. You can configure which Livesession 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 Livesession data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)