# How to integrate Basin MCP with Pydantic AI ```json { "title": "How to integrate Basin MCP with Pydantic AI", "toolkit": "Basin", "toolkit_slug": "basin", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/basin/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/basin/framework/pydantic-ai.md", "updated_at": "2026-05-06T08:02:11.959Z" } ``` ## Introduction This guide walks you through connecting Basin to Pydantic AI using the Composio tool router. By the end, you'll have a working Basin agent that can create a new form for event signups, delete an old feedback form from project, get details of your contact form through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Basin account through Composio's Basin MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Basin with - [OpenAI Agents SDK](https://composio.dev/toolkits/basin/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/basin/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/basin/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/basin/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/basin/framework/codex) - [OpenClaw](https://composio.dev/toolkits/basin/framework/openclaw) - [Hermes](https://composio.dev/toolkits/basin/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/basin/framework/cli) - [Google ADK](https://composio.dev/toolkits/basin/framework/google-adk) - [LangChain](https://composio.dev/toolkits/basin/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/basin/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/basin/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/basin/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/basin/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 Basin - 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 Basin 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 Basin MCP server, and what's possible with it? The Basin MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Basin account. It provides structured and secure access to your forms and projects, so your agent can perform actions like creating forms, managing webhooks, organizing projects, and retrieving domain or form details on your behalf. - Instant form creation and management: Ask your agent to set up new forms with custom settings, associate them with projects, or delete forms you no longer need—all without manual coding. - Seamless project organization: Let your agent create new Basin projects to group related forms or delete obsolete projects, keeping your workspace tidy and efficient. - Automated webhook and integration setup: Have your agent add or remove webhooks for specific forms, so submissions are instantly routed to the right endpoints or external services. - Detailed form and account insights: Retrieve rich metadata about any form or get a full list of domains linked to your Basin account, helping you monitor and audit your form infrastructure. - Effortless notification management: Empower your agent to configure notification webhooks, ensuring critical submissions reach your team or external tools in real time. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BASIN_CREATE_FORM` | Create Form | Tool to create a new form in basin. use when you need to automate form setup with name, timezone, and project association; optionally configure redirect, notifications, or spam protection. | | `BASIN_CREATE_FORM_WEBHOOK` | Create Form Webhook | Tool to create a new webhook for a specific form. use when you need to programmatically add a webhook once you have the form id and callback url confirmed. | | `BASIN_CREATE_NOTIFICATION` | Create Notification | Tool to create a new notification webhook. use when you need to forward form submissions to an external service. | | `BASIN_CREATE_PROJECT` | Create Project | Tool to create a new basin project. use when you need a new organizational container for forms. example: "create a project named marketing leads." | | `BASIN_DELETE_FORM` | Delete Form | Tool to delete a form. use when permanently removing a form after it's no longer needed. ensure the form id is correct; this operation is irreversible. | | `BASIN_DELETE_INTEGRATION` | Delete Integration | Tool to delete a form webhook integration. use when removing an obsolete integration by id. | | `BASIN_DELETE_PROJECT` | Delete Project | Tool to delete a project. use when you need to remove a project after confirming its id. returns the deleted project's details. | | `BASIN_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a specific webhook. use when you need to remove a webhook from a form after confirming its id. | | `BASIN_GET_DOMAINS` | Get Domains | Tool to retrieve a list of all domains associated with the account. use after authentication when you need to display or verify your configured domains in basin. | | `BASIN_GET_FORM_DETAILS` | Get Form Details | Tool to retrieve detailed information about a specific form. use when you have a form id and need its metadata. | | `BASIN_GET_FORMS` | Get Forms | Tool to retrieve a list of all forms. use after authentication to fetch all your forms. | | `BASIN_GET_PROJECT_DETAILS` | Get Project Details | Tool to retrieve detailed information about a specific project. use when you have a project id and need its metadata (name, created at, updated at). | | `BASIN_GET_PROJECTS` | Get Projects | Tool to retrieve a list of all projects. use after authentication to fetch your project inventory. | | `BASIN_GET_SUBMISSIONS` | Get Submissions | Tool to retrieve all submissions for a specific form. use when you need to list entries after obtaining the form id. | | `BASIN_GET_WEBHOOKS` | Get Webhooks | Tool to retrieve all webhooks associated with a specific form. use after obtaining the form id. | | `BASIN_UPDATE_INTEGRATION` | Update Integration | Tool to update a form webhook integration. use to modify settings of an existing integration. | | `BASIN_UPDATE_PROJECT` | Update Project | Tool to update details of an existing project. use when you need to change a project's name after confirming the project id. example: "update project 123 to 'rebrand launch'". | | `BASIN_UPDATE_WEBHOOK` | Update Webhook | Tool to update settings of an existing webhook for a form. use after obtaining the webhook's id. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Basin MCP server is an implementation of the Model Context Protocol that connects your AI agent to Basin. It provides structured and secure access so your agent can perform Basin 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 Basin - 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 Basin - MCPServerStreamableHTTP connects to the Basin 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 Basin 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 Basin composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["basin"], ) 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 Basin endpoint - The agent uses GPT-5 to interpret user commands and perform Basin operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent basin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[basin_mcp], instructions=( "You are a Basin assistant. Use Basin 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 - Basin 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 Basin.\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 Basin composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["basin"], ) 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 basin_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[basin_mcp], instructions=( "You are a Basin assistant. Use Basin 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 Basin.\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 Basin through Composio's Tool Router. With this setup, your agent can perform real Basin 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 + Basin 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 Basin MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/basin/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/basin/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/basin/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/basin/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/basin/framework/codex) - [OpenClaw](https://composio.dev/toolkits/basin/framework/openclaw) - [Hermes](https://composio.dev/toolkits/basin/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/basin/framework/cli) - [Google ADK](https://composio.dev/toolkits/basin/framework/google-adk) - [LangChain](https://composio.dev/toolkits/basin/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/basin/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/basin/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/basin/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/basin/framework/crew-ai) ## Related Toolkits - [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations. - [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications. - [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews. - [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. 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It boosts your favorite tools with actionable intelligence and seamless integration. - [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease. - [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease. - [Formdesk](https://composio.dev/toolkits/formdesk) - Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services. - [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. 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It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps. - [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination. - [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code. - [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams. - [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Basin MCP? With a standalone Basin MCP server, the agents and LLMs can only access a fixed set of Basin tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Basin 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 Basin tools. ### Can I manage the permissions and scopes for Basin while using Tool Router? Yes, absolutely. You can configure which Basin 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 Basin data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)