# How to integrate Classmarker MCP with Pydantic AI ```json { "title": "How to integrate Classmarker MCP with Pydantic AI", "toolkit": "Classmarker", "toolkit_slug": "classmarker", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/classmarker/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/classmarker/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:06:19.859Z" } ``` ## Introduction This guide walks you through connecting Classmarker to Pydantic AI using the Composio tool router. By the end, you'll have a working Classmarker agent that can add student to biology exam access list, create a new question for math quiz, delete user account for withdrawn student through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Classmarker account through Composio's Classmarker MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Classmarker with - [OpenAI Agents SDK](https://composio.dev/toolkits/classmarker/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/classmarker/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/classmarker/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/classmarker/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/classmarker/framework/codex) - [OpenClaw](https://composio.dev/toolkits/classmarker/framework/openclaw) - [Hermes](https://composio.dev/toolkits/classmarker/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/classmarker/framework/cli) - [Google ADK](https://composio.dev/toolkits/classmarker/framework/google-adk) - [LangChain](https://composio.dev/toolkits/classmarker/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/classmarker/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/classmarker/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/classmarker/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/classmarker/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 Classmarker - 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 Classmarker 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 Classmarker MCP server, and what's possible with it? The Classmarker MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Classmarker account. It provides structured and secure access to your quiz management tools, so your agent can create tests, manage users and groups, add questions, and control access codes—without manual intervention. - Automated user and group management: Let your agent create new users, add them to groups, or delete users and groups for streamlined participant organization. - Dynamic question and category creation: Instruct your agent to add new questions or categories to your exams, helping you build tests faster and keep content organized. - Access code and permissions control: Enable your agent to generate, assign, or delete access codes for specific exams, giving or revoking test access instantly as needed. - Test link and API key management: Allow your agent to manage test links or revoke API keys to maintain secure and up-to-date exam distribution. - Efficient data cleanup: Ask your agent to remove users, groups, test links, or access codes, keeping your Classmarker account tidy and up to date with minimal effort. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CLASSMARKER_CREATE_ACCESS_LIST_ITEM` | Create Access List Item | Tool to add one or more access codes to an access list. Use after obtaining a valid access_list_id to grant exam access. | | `CLASSMARKER_CREATE_CATEGORY` | Create a new question category | Tool to create a new question category. Use after confirming the parent category ID. | | `CLASSMARKER_CREATE_GROUP` | Create Group | Tool to create a new group. Use when you need to organize users into a specific group after planning your user structure. | | `CLASSMARKER_CREATE_QUESTION` | Create Question | Tool to create a new question with specified text, type, and category in ClassMarker. Supports multiplechoice, multipleresponse, truefalse, and essay question types. | | `CLASSMARKER_CREATE_USER` | Create ClassMarker User | Tool to create a new user in ClassMarker. Use after gathering user details to provision accounts. Provide user info and optional group assignments. Returns the complete API response. | | `CLASSMARKER_DELETE_ACCESS_LIST_ITEM` | Delete Access List Item | Removes one or more access codes from a ClassMarker access list. Access lists are used to control exam access by requiring users to provide unique identifiers (e.g., email addresses, employee IDs, student numbers). Each code can be used a limited number of times per exam, and codes are recorded with exam results. To use this action: 1. First call GET_ALL_GROUPS_LINKS_EXAMS to find available access list IDs 2. Provide the access_list_id and the list of codes to remove 3. Up to 100 codes can be removed per request Note: This action is idempotent - deleting codes that don't exist will not cause an error. | | `CLASSMARKER_DELETE_API_KEY` | Delete API Key | Tool to delete an API key by its ID. Use when you need to revoke an API key immediately. | | `CLASSMARKER_DELETE_GROUP` | Delete Group | Tool to delete a group by its ID. Use when you need to remove a group from ClassMarker. | | `CLASSMARKER_DELETE_TEST_LINK` | Delete Test Link | Deletes a specific link assignment from a test/exam in ClassMarker. Links are unique URLs that provide access to tests. This action is idempotent - deleting a non-existent link returns success. Use this when you need to remove a link from a test to revoke access via that specific URL. | | `CLASSMARKER_DELETE_USER` | Delete User | Tool to delete a specific user by ID. Use when you need to remove a user from ClassMarker after verifying the user's identity. | | `CLASSMARKER_DELETE_WEBHOOK` | Delete Webhook | Deletes a webhook listener from your ClassMarker account. This action removes a webhook configuration that was previously set up to receive real-time exam results. The ClassMarker API is idempotent - attempting to delete a non-existent webhook will return success without error. Webhook IDs are typically obtained from the ClassMarker web interface (My Account > Webhooks / API Keys) or through other webhook management tools if available. Note: This is a destructive operation and cannot be undone through the API. | | `CLASSMARKER_GET_GROUP_DETAILS` | Get Group Details | Retrieve detailed information about a specific group by ID. Returns group name and assigned tests. Note: This fetches all accessible groups and filters for the specified group_id, as ClassMarker API doesn't provide a direct single-group endpoint. | | `CLASSMARKER_GET_INITIAL_FINISHED_AFTER_TIMESTAMP` | Get Initial Finished After Timestamp | Compute the initial finishedAfterTimestamp for paginating ClassMarker test results. Use this action when you need to retrieve recent test results for the first time and don't have a previous 'next_finished_after_timestamp' value. This returns a Unix timestamp set to 2 weeks ago, which is the ClassMarker API's default starting point for result pagination. **When to use this:** - Starting a new pagination sequence for test results - You don't have a stored 'next_finished_after_timestamp' from a previous request **When NOT to use this:** - You have a 'next_finished_after_timestamp' from a previous response - use that value instead - For subsequent pagination requests - use the timestamp from the last successful response **Important:** ClassMarker API requires the finishedAfterTimestamp to be less than 3 months old. This action ensures compliance by setting it to 2 weeks ago. | | `CLASSMARKER_GET_QUESTION` | Get Question | Tool to retrieve a specific question by its ID. Use when you need detailed information of a question after confirming the question_id. | | `CLASSMARKER_GET_RECENT_RESULTS_GROUP_EXAM` | Get Recent Results For Group Exam | Tool to fetch recent test results for a specific group and exam. Use after determining a UNIX timestamp to retrieve only results finished after that time for the group and exam. | | `CLASSMARKER_GET_RECENT_RESULTS_LINK_EXAM` | Get Recent Results Link Exam | Fetch recent exam results for a specific link and test combination. Use CLASSMARKER_GET_ALL_GROUPS_LINKS_EXAMS first to obtain valid link_id and test_id values. This endpoint returns paginated results based on finishedAfterTimestamp for efficient incremental data retrieval. Supports up to 200 results per request. | | `CLASSMARKER_GET_TEST_DETAILS` | Get Test Details | Retrieves detailed information for a specific test (exam) including its name and all assignment contexts. Returns a list of groups and/or links where the test is assigned, with their IDs, names, and URL identifiers. Use when you need to find where a specific test is deployed or to get the complete deployment context for a test. Returns 'no_results' status if test ID doesn't exist. | | `CLASSMARKER_GET_USER_DETAILS` | Get User Details | Tool to retrieve detailed information about a specific user. Use after you have the user's ID and need the full user profile. | | `CLASSMARKER_LIST_CATEGORIES` | List Question Categories | Retrieves all question categories organized in a hierarchical structure. Returns parent categories with their nested sub-categories. Use this to browse available categories before creating questions or filtering content. | | `CLASSMARKER_LIST_CERTIFICATES` | List Certificates | Tool to list all certificates. Use when you need to retrieve all certificates available in the account. | | `CLASSMARKER_LIST_QUESTIONS` | List Questions | Retrieve a paginated list of questions from your question bank. Returns up to 200 questions per page. Use the optional 'page' parameter to navigate through multiple pages. Each question includes type, content, points, options, correct answers, and metadata. | | `CLASSMARKER_LIST_RECENT_RESULTS_FOR_GROUPS` | List Recent Results For Groups | Retrieve recent exam results for all groups in your ClassMarker account. Returns results from the last 2 weeks by default, or from a specified timestamp (must be within 3 months). Use this to fetch user performance data including scores, pass/fail status, and certificates. | | `CLASSMARKER_LIST_RECENT_RESULTS_FOR_LINKS` | List Recent Results for Links | Retrieves recent test results from ALL links accessible to your API key. Returns results completed after a specified timestamp (defaults to 2 weeks ago). Supports pagination for large result sets (max 200 per request). Use the next_finished_after_timestamp from the response for subsequent requests to fetch newer results without duplicates. Ideal for syncing or monitoring exam completions across all your test links. | | `CLASSMARKER_LIST_USERS` | List Users | Tool to list all users. Use when you need to retrieve every user in your account after confirming authentication. | | `CLASSMARKER_LIST_WEBHOOKS` | List Webhooks | Tool to retrieve all configured webhooks. Use when you need to programmatically list your webhook configurations. | | `CLASSMARKER_PUT_CATEGORY` | Update Sub-Category | Tool to update an existing sub-category. Use when you need to rename or move a sub-category after confirming its IDs. | | `CLASSMARKER_PUT_PARENT_CATEGORY` | Update an existing parent category | Tool to update an existing parent category. Use after confirming the parent category ID. | | `CLASSMARKER_PUT_QUESTION` | Update Question | Updates an existing question in the ClassMarker question bank. IMPORTANT CONSTRAINTS: - Cannot change the question_type of an existing question (must match original) - random_answers is only valid for multiplechoice and multipleresponse types - grade_style is only valid for multipleresponse type - options and correct_options are required for multiplechoice, multipleresponse, and truefalse - essay questions cannot have options, correct_options, or grade_style Set verify_only=True to validate changes without applying them. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Classmarker MCP server is an implementation of the Model Context Protocol that connects your AI agent to Classmarker. It provides structured and secure access so your agent can perform Classmarker 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 Classmarker - 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 Classmarker - MCPServerStreamableHTTP connects to the Classmarker 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 Classmarker 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 Classmarker composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["classmarker"], ) 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 Classmarker endpoint - The agent uses GPT-5 to interpret user commands and perform Classmarker operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent classmarker_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[classmarker_mcp], instructions=( "You are a Classmarker assistant. Use Classmarker 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 - Classmarker 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 Classmarker.\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 Classmarker composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["classmarker"], ) 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 classmarker_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[classmarker_mcp], instructions=( "You are a Classmarker assistant. Use Classmarker 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 Classmarker.\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 Classmarker through Composio's Tool Router. With this setup, your agent can perform real Classmarker 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 + Classmarker 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 Classmarker MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/classmarker/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/classmarker/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/classmarker/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/classmarker/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/classmarker/framework/codex) - [OpenClaw](https://composio.dev/toolkits/classmarker/framework/openclaw) - [Hermes](https://composio.dev/toolkits/classmarker/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/classmarker/framework/cli) - [Google ADK](https://composio.dev/toolkits/classmarker/framework/google-adk) - [LangChain](https://composio.dev/toolkits/classmarker/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/classmarker/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/classmarker/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/classmarker/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/classmarker/framework/crew-ai) ## Related Toolkits - [Canvas](https://composio.dev/toolkits/canvas) - Canvas is a learning management system for online courses, assignments, grading, and collaboration. It's trusted by educators and students to streamline virtual classrooms and enhance digital learning. - [Accredible certificates](https://composio.dev/toolkits/accredible_certificates) - Accredible Certificates is a platform for creating and managing digital certificates, badges, and blockchain credentials. It streamlines issuing, tracking, and verifying professional achievements for organizations of any size. - [Api bible](https://composio.dev/toolkits/api_bible) - API.Bible is a developer platform for Scripture content and passage search. Easily integrate Bible verses and translations into your apps or chatbots. - [Blackboard](https://composio.dev/toolkits/blackboard) - Blackboard is a digital learning platform for higher education and schools, offering tools to manage courses, track engagement, and deliver interactive content. It helps institutions improve student outcomes through actionable analytics and in-app guidance. - [Certifier](https://composio.dev/toolkits/certifier) - Certifier is a platform for creating, managing, and issuing digital certificates and credentials. Organizations use it to automate and secure the entire credentialing process. - [Coassemble](https://composio.dev/toolkits/coassemble) - Coassemble is a flexible platform for building, managing, and delivering online training courses. It helps teams streamline onboarding, upskilling, and ongoing learning for employees or partners. - [D2lbrightspace](https://composio.dev/toolkits/d2lbrightspace) - D2L Brightspace is a learning management system for delivering and managing online courses and assessments. It helps educators streamline digital teaching, assignments, and communication with students. - [Dictionary api](https://composio.dev/toolkits/dictionary_api) - Dictionary api is the Merriam-Webster API providing rich dictionary and thesaurus data for developers. Instantly access definitions, synonyms, etymologies, and audio pronunciations in your apps. - [Google Classroom](https://composio.dev/toolkits/google_classroom) - Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected. - [Lessonspace](https://composio.dev/toolkits/lessonspace) - Lessonspace is an online collaborative classroom platform offering video, whiteboards, and real-time interaction for educators and students. It streamlines remote teaching with integrated tools for engagement and communication. - [Linguapop](https://composio.dev/toolkits/linguapop) - Linguapop is a web platform for administering language placement tests in English, German, Spanish, Italian, and French. It helps schools and organizations efficiently manage multilingual assessments and analyze results. - [Memberspot](https://composio.dev/toolkits/memberspot) - Memberspot is an online course and video-hosting platform for business learning. It helps teams manage, deliver, and track knowledge efficiently. - [Membervault](https://composio.dev/toolkits/membervault) - Membervault is a platform for hosting courses, memberships, and digital products in one place. It helps you build stronger relationships with your audience by centralizing digital offers and customer engagement. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. - [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. - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Classmarker MCP? With a standalone Classmarker MCP server, the agents and LLMs can only access a fixed set of Classmarker tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Classmarker 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 Classmarker tools. ### Can I manage the permissions and scopes for Classmarker while using Tool Router? Yes, absolutely. You can configure which Classmarker 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 Classmarker data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)