# How to integrate Simple analytics MCP with Pydantic AI ```json { "title": "How to integrate Simple analytics MCP with Pydantic AI", "toolkit": "Simple analytics", "toolkit_slug": "simple_analytics", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/simple_analytics/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/simple_analytics/framework/pydantic-ai.md", "updated_at": "2026-09-24T11:25:07.554Z" } ``` ## Introduction This guide walks you through connecting Simple analytics to Pydantic AI using the Composio tool router. By the end, you'll have a working Simple analytics agent that can show visitor stats for your main website, export last month's raw traffic data, list all websites linked to your account through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Simple analytics account through Composio's Simple analytics MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Simple analytics with - [Claude Code](https://composio.dev/toolkits/simple_analytics/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/simple_analytics/framework/claude-cowork) - [OpenAI Agents SDK](https://composio.dev/toolkits/simple_analytics/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/simple_analytics/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/simple_analytics/framework/codex) - [OpenClaw](https://composio.dev/toolkits/simple_analytics/framework/openclaw) - [Hermes](https://composio.dev/toolkits/simple_analytics/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/simple_analytics/framework/atomic-agent) - [Google ADK](https://composio.dev/toolkits/simple_analytics/framework/google-adk) - [LangChain](https://composio.dev/toolkits/simple_analytics/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/simple_analytics/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/simple_analytics/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/simple_analytics/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/simple_analytics/framework/crew-ai) - [AutoGen](https://composio.dev/toolkits/simple_analytics/framework/autogen) ## 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 Simple analytics - 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 Simple analytics 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 Simple analytics MCP server, and what's possible with it? The Simple analytics MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Simple Analytics account. It provides structured and secure access to privacy-friendly analytics data, so your agent can perform actions like retrieving website stats, exporting raw data, and listing all your tracked websites with ease. - List all connected websites: Quickly get a comprehensive list of all websites associated with your Simple Analytics account, making it easy for your agent to select and manage different sites. - Export raw analytics data: Direct your agent to export detailed raw data points—like page views and events—for any website, ready for custom analysis or sharing in CSV or JSON formats. - Retrieve key website metrics: Ask your agent to fetch aggregated statistics for a specific site, including visitors, pageviews, bounce rate, and other essential metrics in one go. - Automated traffic reporting: Let your agent generate periodic or on-demand traffic reports, summarizing recent performance trends across your sites. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SIMPLE_ANALYTICS_ADMIN_API_LIST_WEBSITES` | List Websites (Admin API) | Tool to list all websites associated with the authenticated user. Use after authenticating an admin account to retrieve website list. | | `SIMPLE_ANALYTICS_EXPORT_API_GET_RAW_DATA` | Export Raw Data Points | Tool to export raw data points (page views and events) for a specific website. Use when you need to download CSV or JSON exports of site traffic. | | `SIMPLE_ANALYTICS_GET_AGGREGATED_STATS` | Get aggregated website stats | Tool to retrieve aggregated statistics for a specified website. Use when you need an overview of key metrics like visitors, pageviews, bounce rate, and more. | | `SIMPLE_ANALYTICS_SEND_EVENT` | Send Server-Side Event | Tool to submit server-side events or pageviews to Simple Analytics. Use for mobile apps, backend tracking, or scenarios where JavaScript is not available. Supports custom metadata for enriched event data. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Simple analytics MCP server is an implementation of the Model Context Protocol that connects your AI agent to Simple analytics. It provides structured and secure access so your agent can perform Simple analytics 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 Simple analytics - 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 Simple analytics - MCPServerStreamableHTTP connects to the Simple analytics 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 Simple analytics 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 Simple analytics composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["simple_analytics"], ) 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 Simple analytics endpoint - The agent uses GPT-5 to interpret user commands and perform Simple analytics operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent simple_analytics_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[simple_analytics_mcp], instructions=( "You are a Simple analytics assistant. Use Simple analytics 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 - Simple analytics 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 Simple analytics.\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 Simple analytics composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["simple_analytics"], ) 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 simple_analytics_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[simple_analytics_mcp], instructions=( "You are a Simple analytics assistant. Use Simple analytics 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 Simple analytics.\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 Simple analytics through Composio's Tool Router. With this setup, your agent can perform real Simple analytics 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 + Simple analytics 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 Simple analytics MCP Agent with another framework - [Claude Code](https://composio.dev/toolkits/simple_analytics/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/simple_analytics/framework/claude-cowork) - [OpenAI Agents SDK](https://composio.dev/toolkits/simple_analytics/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/simple_analytics/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/simple_analytics/framework/codex) - [OpenClaw](https://composio.dev/toolkits/simple_analytics/framework/openclaw) - [Hermes](https://composio.dev/toolkits/simple_analytics/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/simple_analytics/framework/atomic-agent) - [Google ADK](https://composio.dev/toolkits/simple_analytics/framework/google-adk) - [LangChain](https://composio.dev/toolkits/simple_analytics/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/simple_analytics/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/simple_analytics/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/simple_analytics/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/simple_analytics/framework/crew-ai) - [AutoGen](https://composio.dev/toolkits/simple_analytics/framework/autogen) ## 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. Supercharge your apps with accurate, up-to-date business and contact data. - [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds. - [Posthog](https://composio.dev/toolkits/posthog) - PostHog is an open-source analytics platform for tracking user interactions and product metrics. It helps teams refine features, analyze funnels, and reduce churn with actionable insights. - [Ahrefs MCP](https://composio.dev/toolkits/ahrefs_mcp) - Ahrefs MCP is Ahrefs' hosted MCP server for SEO data and insights. Use it to access backlinks, organic metrics, keyword research, and competitor analysis. - [Akta](https://composio.dev/toolkits/akta) - Akta is a company intelligence platform providing enrichment, news, and alternative business signals. It helps teams build targeted company lists and enrich data-driven workflows. - [Amplitude](https://composio.dev/toolkits/amplitude) - Amplitude is a digital analytics platform for product and behavioral data insights. It helps teams analyze user journeys and make data-driven decisions quickly. - [Amplitude MCP](https://composio.dev/toolkits/amplitude_mcp) - Amplitude MCP is Amplitude's product analytics service for tracking user behavior and product metrics. Use it to centralize product data and manage charts, dashboards, cohorts, experiments, and taxonomy. - [Audioscrape MCP](https://composio.dev/toolkits/audioscrape_mcp) - Audioscrape MCP lets agents search and retrieve speaker-attributed audio, transcripts, entities, and citations from public and workspace content. Use it to surface searchable, speaker-labeled audio and rich metadata for research, meetings, and content discovery. - [Baremetrics](https://composio.dev/toolkits/baremetrics) - Baremetrics is a subscription analytics platform for recurring-revenue businesses. It helps teams track MRR, churn, customers, and revenue trends in one place. - [Bing Webmaster Tools](https://composio.dev/toolkits/bing_webmaster_tools) - Bing Webmaster Tools is Microsoft's search console for site performance, crawling, indexing, URL submission, and verified site management. It helps site owners understand Bing Search visibility and fix issues that affect organic traffic. - [Bread & Butter](https://composio.dev/toolkits/bread_butter) - Bread & Butter is a lead-intelligence and identity platform for website visitor tracking, user profiles, attribution, authentication, and conversion workflows. It helps teams understand who is visiting, where leads come from, and how users convert. - [Bright Data MCP](https://composio.dev/toolkits/brightdata_mcp) - Bright Data MCP is an AI-powered web scraping and data collection platform. Instantly access public web data in real time with advanced scraping tools. - [Browseai](https://composio.dev/toolkits/browseai) - Browseai is a web automation and data extraction platform that turns any website into an API. It's perfect for monitoring websites and retrieving structured data without manual scraping. - [BSC Designer](https://composio.dev/toolkits/bsc_designer) - BSC Designer is a strategy execution platform for balanced scorecards, KPIs, dashboards, and strategy maps. It helps teams turn goals into measurable performance plans they can track over time. - [Chameleon](https://composio.dev/toolkits/chameleon) - Chameleon is a product adoption platform for building in-app experiences, managing customer data, and analyzing user engagement. It helps teams improve onboarding, feature discovery, and product adoption with targeted user experiences. - [Chartly](https://composio.dev/toolkits/chartly) - Chartly renders Chart.js configurations as PNG or SVG images and creates permanent chart URLs for sharing and embedding. Share and embed charts easily with stable image URLs and downloadable vector graphics. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Simple analytics MCP? With a standalone Simple analytics MCP server, the agents and LLMs can only access a fixed set of Simple analytics tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Simple analytics 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 Simple analytics tools. ### Can I manage the permissions and scopes for Simple analytics while using Tool Router? Yes, absolutely. You can configure which Simple analytics 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 Simple analytics data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)