# How to integrate Typeform MCP with Pydantic AI ```json { "title": "How to integrate Typeform MCP with Pydantic AI", "toolkit": "Typeform", "toolkit_slug": "typeform", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/typeform/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/typeform/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:54:06.357Z" } ``` ## Introduction This guide walks you through connecting Typeform to Pydantic AI using the Composio tool router. By the end, you'll have a working Typeform agent that can list all recent responses for a form, create a new form for event signup, export submissions from your survey to csv through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Typeform account through Composio's Typeform MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Typeform with - [ChatGPT](https://composio.dev/toolkits/typeform/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/typeform/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/typeform/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/typeform/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/typeform/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/typeform/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/typeform/framework/codex) - [Cursor](https://composio.dev/toolkits/typeform/framework/cursor) - [VS Code](https://composio.dev/toolkits/typeform/framework/vscode) - [OpenCode](https://composio.dev/toolkits/typeform/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/typeform/framework/openclaw) - [Hermes](https://composio.dev/toolkits/typeform/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/typeform/framework/cli) - [Google ADK](https://composio.dev/toolkits/typeform/framework/google-adk) - [LangChain](https://composio.dev/toolkits/typeform/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/typeform/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/typeform/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/typeform/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/typeform/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 Typeform - 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 Typeform 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 Typeform MCP server, and what's possible with it? The Typeform MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Typeform account. It provides structured and secure access so your agent can perform Typeform operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TYPEFORM_CREATE_ACCOUNT_WORKSPACE` | Create Account Workspace | Tool to create a new workspace in a specific Typeform account. Use when you need to create a workspace within a particular account using the account ID. | | `TYPEFORM_CREATE_FORM` | Create Form | Tool to create a new Typeform form with customizable fields, logic, and settings. Use when you need to programmatically create a form with specific questions, welcome screens, thank you screens, and conditional logic. | | `TYPEFORM_CREATE_IMAGE` | Create Image | Tool to upload a new image to your Typeform account via base64 encoding or URL. Use when you need to add images for forms or presentations. Either 'image' (base64) or 'url' parameter must be provided. | | `TYPEFORM_CREATE_OR_UPDATE_WEBHOOK` | Create or Update Webhook | Tool to create a new webhook or update an existing one for a specified Typeform. Use when you need to configure webhooks to receive form response notifications at a specified URL. | | `TYPEFORM_CREATE_THEME` | Create Theme | Tool to create a new custom theme in Typeform with colors, fonts, background, and layout settings. Use when you need to create a theme for branding and styling Typeform forms. | | `TYPEFORM_CREATE_WORKSPACE` | Create Workspace | Tool to create a new workspace in Typeform. Use when organizing forms into separate workspaces for teams or projects. | | `TYPEFORM_DELETE_FORM` | Delete Form | Tool to permanently delete a Typeform and all of its responses. Use when you need to remove a form completely from the account. | | `TYPEFORM_DELETE_IMAGE` | Delete Image | Tool to delete an image from your Typeform account. Use when you need to remove an image that is no longer needed. Returns a success status once the image has been deleted (204 No Content). | | `TYPEFORM_DELETE_RESPONSES` | Delete Responses | Tool to delete specific responses from a Typeform by response IDs. Use when you need to remove response data from a form. Deletion is asynchronous - a 200 status means the deletion request was registered, not that deletion is complete. Maximum 1000 response IDs can be deleted per request. | | `TYPEFORM_DELETE_THEME` | Delete Theme | Tool to delete a theme from your Typeform account. Use when you need to permanently remove a theme. This operation cannot be undone. | | `TYPEFORM_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook configuration from a Typeform form. Use when you need to remove a webhook from a specific form. The operation returns 204 No Content on success and 404 if the webhook is not found. | | `TYPEFORM_DELETE_WORKSPACE` | Delete Workspace | Tool to delete a workspace from your Typeform account. Use when you need to remove a workspace. Note: The default 'My Workspace' cannot be deleted, and workspaces containing forms cannot be deleted (will return an error). | | `TYPEFORM_GET_ABOUT_ME` | Get About Me | Get information about the owner account in Typeform. | | `TYPEFORM_GET_ALL_RESPONSE_FILES` | Get All Response Files | Tool to retrieve a compressed archive containing all files that respondents uploaded for a specified form. Use when you need to download all file uploads from a Typeform form as a ZIP archive. | | `TYPEFORM_GET_BACKGROUND_BY_SIZE` | Get Background By Size | Tool to retrieve a background image by size from Typeform. Use when you need to get a background image in a specific size (default, tablet, mobile, or thumbnail). Images are scaled and cropped from top-left alignment to fill the screen properly. | | `TYPEFORM_GET_CHOICE_IMAGE_BY_SIZE` | Get Choice Image By Size | Tool to retrieve a choice image by size from Typeform. Use when you need to download images used in picture_choice question options at specific sizes. | | `TYPEFORM_GET_FORM` | Get Form | Tool to retrieve a specific form's complete configuration including fields, logic, settings, and theme. Use when you need to get detailed information about a Typeform form. | | `TYPEFORM_GET_FORM_MESSAGES` | Get Form Messages | Tool to retrieve custom messages for a Typeform including button labels, error messages, and UI text. Use when you need to get the current message configuration for a form. | | `TYPEFORM_GET_FORM_RESPONSES` | Get Form Responses | Tool to retrieve form responses from Typeform with filtering by date, pagination, search, and response type. Use when you need to get responses for a specific form including timestamps of when users landed on and submitted the form. Note: Recent responses may take up to 30 minutes to appear. | | `TYPEFORM_GET_IMAGE_BY_SIZE` | Get Image By Size | Tool to retrieve an image in a specific size from Typeform. Use when you need to get a Typeform image optimized for different display contexts (default for desktop, mobile for mobile devices, or thumbnail for previews). | | `TYPEFORM_GET_THEME` | Get Theme | Tool to retrieve a specific theme's configuration including colors, fonts, and layout settings. Use when you need to get the design settings of a Typeform theme. | | `TYPEFORM_GET_WEBHOOK` | Get Webhook | Tool to retrieve a single webhook by specifying both the form ID and webhook tag. Use when you need to get details about a specific webhook configuration. | | `TYPEFORM_GET_WORKSPACE` | Get Workspace | Tool to retrieve detailed information about a specific workspace including its name, forms, and team members. Use when you need to get workspace details or check member access. | | `TYPEFORM_LIST_FORMS` | List Forms | Tool to retrieve a list of all forms in your Typeform account with filtering, pagination, and sorting options. Use when you need to list, search, or browse forms across workspaces. Supports filtering by search terms, workspace, and sorting by creation or modification date. | | `TYPEFORM_LIST_IMAGES` | List Images | Tool to retrieve all images in your Typeform account in reverse-chronological order. Use when you need to list or browse available images. | | `TYPEFORM_LIST_TYPEFORM_THEMES` | List Typeform Themes | Tool to retrieve a paginated list of themes in your Typeform account. Use when you need to access available themes for form styling. Returns both public and private themes with their styling configurations. | | `TYPEFORM_LIST_FORM_WEBHOOKS` | List Form Webhooks | Tool to retrieve all webhooks associated with a specified typeform. Use when you need to view webhook configurations for a form. Returns webhook IDs, URLs, enabled status, event types, and timestamps. | | `TYPEFORM_LIST_WORKSPACES` | List Workspaces | Tool to retrieve all workspaces in a Typeform account with their IDs, names, form counts, and members. Use when you need to list available workspaces or search for specific workspaces by name. | | `TYPEFORM_PATCH_FORM` | Patch Form | Tool to partially update a Typeform using JSON Patch operations. Use when you need to modify specific fields without replacing the entire form. Supports updating title, settings, theme, workspace, and other form properties. | | `TYPEFORM_UPDATE_THEME_PARTIAL` | Update Theme (Partial) | Tool to partially update a Typeform theme by ID. Updates only the specified properties while leaving other theme settings unchanged. Each provided field must be complete (e.g., if updating colors, all color subfields must be provided). Cannot modify Typeform's public built-in themes. | | `TYPEFORM_UPDATE_FORM` | Update Form | Tool to update an existing Typeform by completely replacing its configuration. PUT request overwrites the entire form - any fields not included will be deleted along with their response data. Always retrieve the form first using Get Form, modify the desired properties, then send the complete updated form definition. | | `TYPEFORM_UPDATE_FORM_MESSAGES` | Update Form Messages | Tool to update custom messages for form UI elements like buttons, errors, and placeholders in Typeform. Use when you need to customize the text displayed to form respondents. | | `TYPEFORM_UPDATE_THEME` | Update Theme | Tool to update a theme's complete definition in Typeform. Use when you need to update all aspects of a theme including colors, fonts, and visual properties. This is a full update (PUT) operation that requires name, font, and colors to be provided. For partial updates, use PATCH instead. | | `TYPEFORM_UPDATE_WORKSPACE` | Update Workspace | Tool to update a workspace's name or manage team member access (add/remove members) in Typeform. Use when you need to rename a workspace or modify its member list using JSON Patch operations. | | `TYPEFORM_UPLOAD_VIDEO` | Upload Video | Initiate a video upload to Typeform by obtaining a signed upload URL. Use this action to prepare for uploading a video file to a specific form field. After receiving the upload_url, use it to upload the actual video file via a PUT request. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Typeform MCP server is an implementation of the Model Context Protocol that connects your AI agent to Typeform. It provides structured and secure access so your agent can perform Typeform 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 Typeform - 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 Typeform - MCPServerStreamableHTTP connects to the Typeform 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 Typeform 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 Typeform composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["typeform"], ) 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 Typeform endpoint - The agent uses GPT-5 to interpret user commands and perform Typeform operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent typeform_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[typeform_mcp], instructions=( "You are a Typeform assistant. Use Typeform 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 - Typeform 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 Typeform.\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 Typeform composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["typeform"], ) 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 typeform_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[typeform_mcp], instructions=( "You are a Typeform assistant. Use Typeform 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 Typeform.\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 Typeform through Composio's Tool Router. With this setup, your agent can perform real Typeform 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 + Typeform 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 Typeform MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/typeform/framework/chatgpt) - [Antigravity](https://composio.dev/toolkits/typeform/framework/antigravity) - [OpenAI Agents SDK](https://composio.dev/toolkits/typeform/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/typeform/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/typeform/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/typeform/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/typeform/framework/codex) - [Cursor](https://composio.dev/toolkits/typeform/framework/cursor) - [VS Code](https://composio.dev/toolkits/typeform/framework/vscode) - [OpenCode](https://composio.dev/toolkits/typeform/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/typeform/framework/openclaw) - [Hermes](https://composio.dev/toolkits/typeform/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/typeform/framework/cli) - [Google ADK](https://composio.dev/toolkits/typeform/framework/google-adk) - [LangChain](https://composio.dev/toolkits/typeform/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/typeform/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/typeform/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/typeform/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/typeform/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 Typeform MCP? With a standalone Typeform MCP server, the agents and LLMs can only access a fixed set of Typeform tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Typeform 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 Typeform tools. ### Can I manage the permissions and scopes for Typeform while using Tool Router? Yes, absolutely. You can configure which Typeform 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 Typeform data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)