# How to integrate Studio By Ai21 Labs MCP with Pydantic AI ```json { "title": "How to integrate Studio By Ai21 Labs MCP with Pydantic AI", "toolkit": "Studio By Ai21 Labs", "toolkit_slug": "studio_by_ai21_labs", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/studio_by_ai21_labs/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/studio_by_ai21_labs/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:52:00.301Z" } ``` ## Introduction This guide walks you through connecting Studio By Ai21 Labs to Pydantic AI using the Composio tool router. By the end, you'll have a working Studio By Ai21 Labs agent that can generate a summary of this research paper, classify sentiment of this product review, extract key topics from meeting transcript through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Studio By Ai21 Labs account through Composio's Studio By Ai21 Labs MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Studio By Ai21 Labs with - [OpenAI Agents SDK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/studio_by_ai21_labs/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/studio_by_ai21_labs/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/studio_by_ai21_labs/framework/codex) - [OpenClaw](https://composio.dev/toolkits/studio_by_ai21_labs/framework/openclaw) - [Hermes](https://composio.dev/toolkits/studio_by_ai21_labs/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/studio_by_ai21_labs/framework/cli) - [Google ADK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/google-adk) - [LangChain](https://composio.dev/toolkits/studio_by_ai21_labs/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/studio_by_ai21_labs/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/studio_by_ai21_labs/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/studio_by_ai21_labs/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 Studio By Ai21 Labs - 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 Studio By Ai21 Labs 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 Studio By Ai21 Labs MCP server, and what's possible with it? The Studio By Ai21 Labs MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Studio By Ai21 Labs account. It provides structured and secure access so your agent can perform Studio By Ai21 Labs operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `STUDIO_BY_AI21_LABS_CHECK_CAN_IFRAME` | Check Can Iframe | Tool to check if a URL can be embedded in an iframe. Use when you need to verify iframe compatibility before embedding external content. | | `STUDIO_BY_AI21_LABS_COMPARE_TEXT` | Compare Text | Tool to compare two text strings and identify differences. Use when you need to analyze changes between an original text and its modified version. | | `STUDIO_BY_AI21_LABS_CREATE_AFTERSALES_PARTS_BATCH` | Create Aftersales Parts Classification Batch | Tool to create a batch job for Fnac Aftersales parts classification. Use when you need to classify multiple aftersales cases to determine which parts are needed for repairs. | | `STUDIO_BY_AI21_LABS_CREATE_ASSISTANT_ROUTE` | Create Assistant Route | Tool to create a new route for an AI21 Studio assistant. Use when you need to define a new conversational path or query pattern for an assistant. | | `STUDIO_BY_AI21_LABS_CREATE_ASSISTANT` | Create Assistant | Tool to create a new AI assistant in AI21 Studio. Use when you need to set up a new assistant with custom configuration, tools, and behavior. | | `STUDIO_BY_AI21_LABS_CREATE_ASSISTANT_PLAN` | Create Assistant Plan | Tool to create a new plan for an AI21 Studio assistant. Use when you need to add a new plan with Python code to an assistant. | | `STUDIO_BY_AI21_LABS_CREATE_DEMO` | Create Demo | Tool to create a new demo in AI21 Studio. Use when you need to set up a new demo with specified visibility and status. | | `STUDIO_BY_AI21_LABS_GENERATE_REQUIREMENTS` | Generate Requirements | Tool to generate requirements from a query or task description. Use when you need to break down a high-level task into specific requirements. | | `STUDIO_BY_AI21_LABS_GENERATE_THREAD_NAME` | Generate Thread Name | Tool to generate a thread name from a query or conversation context. Use when you need to create a descriptive title for a conversation thread. | | `STUDIO_BY_AI21_LABS_CREATE_KIRSH_GRANT_COMPLIANCE_PREVIEW` | Create Kirsh Grant Compliance Preview | Tool to preview grant compliance for Kirsh grants. Use when you need to check compliance status for specific grant IDs. | | `STUDIO_BY_AI21_LABS_KIRSH_GRANT_METADATA_PREVIEW` | Kirsh Grant Metadata Preview | Tool to retrieve grant metadata from the Kirsh preview endpoint. Use when you need to fetch grant information including grant name and associated organization details. | | `STUDIO_BY_AI21_LABS_CREATE_MCP_STORAGE` | Create MCP Storage | Tool to create MCP (Model Context Protocol) storage in AI21 Studio. Use when you need to register and configure an MCP server connection for your workspace. | | `STUDIO_BY_AI21_LABS_CREATE_SECRET` | Create Secret | Tool to save a secret in AI21 Studio. Use when you need to securely store sensitive information like API keys or passwords. | | `STUDIO_BY_AI21_LABS_CHECK_KIRSH_GRANT_COMPLIANCE` | Check Kirsh Grant Compliance | Tool to check compliance for Kirsh grant IDs. Use when you need to verify compliance status for one or more grants. | | `STUDIO_BY_AI21_LABS_CREATE_WEBSITE_CONNECTOR` | Create Website Connector | Tool to create a website connector in AI21 Studio. Use when you need to index website content via sitemap or specific URLs for RAG or grounding purposes. | | `STUDIO_BY_AI21_LABS_DELETE_ASSISTANT` | Delete Assistant | Tool to delete an assistant by its unique ID. Use when you need to permanently remove an assistant from the system. | | `STUDIO_BY_AI21_LABS_DELETE_ASSISTANT_ROUTE` | Delete Assistant Route | Tool to delete a route from an AI21 Studio assistant. Use when you need to remove a routing configuration from an assistant. | | `STUDIO_BY_AI21_LABS_DELETE_DEMO` | Delete Demo | Tool to delete a demo by its unique ID. Use when removing a specific demo from AI21 Studio. | | `STUDIO_BY_AI21_LABS_DELETE_MCP_STORAGE` | Delete MCP Storage | Tool to delete an MCP (Model Context Protocol) storage configuration by its unique ID. Use when you need to permanently remove an MCP server configuration from AI21 Studio. | | `STUDIO_BY_AI21_LABS_DELETE_SECRET` | Delete Secret | Tool to delete a secret by its unique ID. Use when you need to permanently remove a secret from AI21 Studio. | | `STUDIO_BY_AI21_LABS_DELETE_WEBSITE_CONNECTOR` | Delete Website Connector | Permanently delete a website connector by its unique identifier. Use when you need to remove a website connector that is no longer needed. | | `STUDIO_BY_AI21_LABS_DOWNLOAD_MODIFIED_DOCUMENT` | Download Modified Document | Tool to download a modified document from AI21 Labs Studio. Use when you need to generate and download a document with specific content and filename. | | `STUDIO_BY_AI21_LABS_GET_ASSISTANT` | Get Assistant | Tool to retrieve an assistant by its unique identifier. Use when you need to get details about a specific assistant including its configuration, tools, and settings. | | `STUDIO_BY_AI21_LABS_GET_ASSISTANT_ROUTE` | Get Assistant Route | Tool to retrieve details of a specific route for an AI21 Studio assistant. Use when you need to get information about a particular route configuration. | | `STUDIO_BY_AI21_LABS_GET_ASSISTANTS_BY_MCP` | Get Assistants By MCP | Tool to retrieve all assistants associated with a specific MCP (Model Context Protocol) storage configuration. Use when you need to list assistants that are connected to a particular MCP server. | | `STUDIO_BY_AI21_LABS_GET_BATCH_PREDICTION_STATUS` | Get Batch Prediction Status | Tool to check the status of a Fnac Aftersales parts classification batch prediction job. Use when you need to monitor the progress or retrieve results of a previously submitted batch. | | `STUDIO_BY_AI21_LABS_GET_DEMO` | Get Demo | Tool to retrieve a demo by its unique ID. Use when you need to fetch details about a specific demo including its name, status, visibility, and configuration. | | `STUDIO_BY_AI21_LABS_GRANT_KIRSH_METADATA` | Grant Kirsh Metadata | Tool to retrieve Kirsh grant metadata by grant ID. Use when you need to fetch grant information including grant name and organization details. | | `STUDIO_BY_AI21_LABS_GET_LIBRARY_BATCH_STATUS` | Get Library Batch Status | Tool to get the ingestion status of a library batch. Use when you need to check the processing status of documents in a batch upload. | | `STUDIO_BY_AI21_LABS_GET_MCP_STORAGE` | Get MCP Storage | Tool to retrieve a specific MCP (Model Context Protocol) storage configuration by its unique ID. Use when you need to get details about a particular MCP server including its URL, label, authentication settings, and allowed tools. | | `STUDIO_BY_AI21_LABS_GET_OUTPUT_EXPLANATION` | Get Output Explanation | Tool to get output explanation for an execution (cached or generated). Use when you need to retrieve or regenerate the explanation for a specific execution. Set force_regenerate to true to bypass cache. | | `STUDIO_BY_AI21_LABS_GET_PLAN` | Get Plan | Tool to retrieve a specific plan from an AI21 Studio assistant. Use when you need to fetch details of a plan by its ID. | | `STUDIO_BY_AI21_LABS_GET_WEBSITE_CONNECTOR_BY_ID` | Get Website Connector By ID | Tool to retrieve details of a specific website connector by its ID. Use when you need to fetch information about a website connector in AI21 Studio. | | `STUDIO_BY_AI21_LABS_GET_WEBSITE_CONNECTOR_STATUS` | Get Website Connector Status | Tool to retrieve the status of a website connector ingestion. Use when you need to check the processing status of a website that was added to AI21 Studio. | | `STUDIO_BY_AI21_LABS_GET_WEBSITE_CONNECTOR_URL_STATUS` | Get Website Connector URL Status | Tool to retrieve the status of a specific URL in the website connector. Use when you need to check the processing status of a URL that was previously ingested. | | `STUDIO_BY_AI21_LABS_INGEST_WEBSITE_CONNECTOR` | Ingest Website Connector | Tool to ingest website content via sitemap URL in AI21 Studio. Use when you need to process and index website pages from a sitemap for RAG, grounding, or document analysis purposes. | | `STUDIO_BY_AI21_LABS_INGEST_WEBSITE_CONNECTOR_URL` | Ingest Website Connector URL | Tool to ingest a website URL into AI21 Studio's website connector. Use when you need to add a specific URL to be processed and indexed by the website connector for RAG or grounding. | | `STUDIO_BY_AI21_LABS_LIST_ASSISTANTS` | List Assistants | Tool to retrieve all assistants from AI21 Studio. Use when you need to list available assistants, optionally filtered by workspace IDs. | | `STUDIO_BY_AI21_LABS_LIST_WEBSITE_CONNECTORS` | List Website Connectors | Tool to retrieve website connector information from AI21 Studio. Use when you need to get details about configured website connectors. | | `STUDIO_BY_AI21_LABS_LIST_DEMOS` | List Demos | Tool to retrieve all demos from AI21 Studio. Use when you need to list all available demos including their names, statuses, visibility settings, and configurations. | | `STUDIO_BY_AI21_LABS_LIST_LIBRARY_FILES` | List Library Files | Tool to list files in the workspace library with optional filtering. Use to retrieve file metadata, search by name/path/status/labels, or paginate through library contents. | | `STUDIO_BY_AI21_LABS_LIST_MCP_STORAGE` | List MCP Storage | Tool to retrieve all MCP (Model Context Protocol) storage configurations from AI21 Studio. Use when you need to list available MCP servers and their configurations, optionally filtered by workspace ID. | | `STUDIO_BY_AI21_LABS_LIST_MODELS` | List Models | Tool to retrieve information about all available AI21 models. Use when you need to list models with their specifications, pricing, and capabilities. | | `STUDIO_BY_AI21_LABS_LIST_PLANS` | List Plans | Tool to list all plans for a specific assistant. Use when you need to retrieve the plans associated with an assistant ID. | | `STUDIO_BY_AI21_LABS_LIST_SECRETS` | List Secrets | Tool to retrieve all secrets from AI21 Studio secret storage. Use when you need to list stored secrets and their metadata. | | `STUDIO_BY_AI21_LABS_LIST_WORKSPACE_MODELS` | List Workspace Models | Tool to retrieve all workspace models by organization from AI21 Studio. Use when you need to list available models for the workspace. | | `STUDIO_BY_AI21_LABS_LIST_AVAILABLE_MODELS` | List Available Models | Tool to retrieve all available models from AI21 Studio settings. Use when you need to list models that are available for use in the workspace. | | `STUDIO_BY_AI21_LABS_MODIFY_ASSISTANT` | Modify Assistant | Tool to modify an existing AI21 Studio assistant. Use when you need to update assistant properties like name, description, models, system prompt, or configuration. At least one field must be provided to update. All fields except assistant_id are optional. | | `STUDIO_BY_AI21_LABS_MODIFY_ASSISTANT_ROUTE` | Modify Assistant Route | Tool to modify an existing route within an assistant. Use when you need to update the description or examples of a specific route in an AI21 Studio assistant. | | `STUDIO_BY_AI21_LABS_MODIFY_ASSISTANT_PLAN` | Modify Assistant Plan | Tool to modify an existing assistant plan in AI21 Studio. Use when you need to update the code or schemas of a plan. | | `STUDIO_BY_AI21_LABS_RETRY_INGEST_WEBSITE` | Retry Ingest Website | Tool to retry ingestion of a website in AI21 Studio. Use when a website ingestion has failed and you need to trigger another attempt to ingest the content. | | `STUDIO_BY_AI21_LABS_RUN_ASSISTANT` | Run Assistant | Tool to run an AI21 Studio assistant with conversational input. Use when you need to interact with a configured AI21 assistant by providing messages and receiving responses. The assistant processes the input messages and returns a result based on its configuration. Supports multiple languages and optional features like dynamic planning and structured RAG. | | `STUDIO_BY_AI21_LABS_SYNC_WEBSITE_CONNECTOR` | Sync Website Connector | Tool to sync a website connector in AI21 Studio. Use when you need to trigger a synchronization of website content for a specific connector. | | `STUDIO_BY_AI21_LABS_UPDATE_DEMO` | Update Demo | Tool to update an existing demo in Studio by AI21 Labs. Use when you need to modify demo properties such as name, status, visibility, or configuration. | | `STUDIO_BY_AI21_LABS_UPDATE_MCP_STORAGE` | Update MCP Storage | Tool to update an existing MCP (Model Context Protocol) storage configuration in AI21 Studio. Use when you need to modify the server label of an MCP storage configuration. | | `STUDIO_BY_AI21_LABS_UPDATE_SECRET` | Update Secret | Tool to update an existing secret in AI21 Studio. Use when you need to modify secret properties such as name or value. | | `STUDIO_BY_AI21_LABS_VALIDATE_PLAN` | Validate Plan | Tool to validate Python code for an AI21 Studio assistant plan. Use when you need to verify that code is syntactically correct and executable before using it in an assistant. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Studio By Ai21 Labs MCP server is an implementation of the Model Context Protocol that connects your AI agent to Studio By Ai21 Labs. It provides structured and secure access so your agent can perform Studio By Ai21 Labs 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 Studio By Ai21 Labs - 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 Studio By Ai21 Labs - MCPServerStreamableHTTP connects to the Studio By Ai21 Labs 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 Studio By Ai21 Labs 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 Studio By Ai21 Labs composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["studio_by_ai21_labs"], ) 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 Studio By Ai21 Labs endpoint - The agent uses GPT-5 to interpret user commands and perform Studio By Ai21 Labs operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent studio_by_ai21_labs_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[studio_by_ai21_labs_mcp], instructions=( "You are a Studio By Ai21 Labs assistant. Use Studio By Ai21 Labs 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 - Studio By Ai21 Labs 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 Studio By Ai21 Labs.\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 Studio By Ai21 Labs composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["studio_by_ai21_labs"], ) 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 studio_by_ai21_labs_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[studio_by_ai21_labs_mcp], instructions=( "You are a Studio By Ai21 Labs assistant. Use Studio By Ai21 Labs 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 Studio By Ai21 Labs.\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 Studio By Ai21 Labs through Composio's Tool Router. With this setup, your agent can perform real Studio By Ai21 Labs 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 + Studio By Ai21 Labs 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 Studio By Ai21 Labs MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/studio_by_ai21_labs/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/studio_by_ai21_labs/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/studio_by_ai21_labs/framework/codex) - [OpenClaw](https://composio.dev/toolkits/studio_by_ai21_labs/framework/openclaw) - [Hermes](https://composio.dev/toolkits/studio_by_ai21_labs/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/studio_by_ai21_labs/framework/cli) - [Google ADK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/google-adk) - [LangChain](https://composio.dev/toolkits/studio_by_ai21_labs/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/studio_by_ai21_labs/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/studio_by_ai21_labs/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/studio_by_ai21_labs/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/studio_by_ai21_labs/framework/crew-ai) ## Related Toolkits - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service. - [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows. - [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow. - [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities. - [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. - [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations. - [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key. - [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient. - [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions. - [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences. - [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement. - [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team. - [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs. - [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code. - [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets. - [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Studio By Ai21 Labs MCP? With a standalone Studio By Ai21 Labs MCP server, the agents and LLMs can only access a fixed set of Studio By Ai21 Labs tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Studio By Ai21 Labs 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 Studio By Ai21 Labs tools. ### Can I manage the permissions and scopes for Studio By Ai21 Labs while using Tool Router? Yes, absolutely. You can configure which Studio By Ai21 Labs 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 Studio By Ai21 Labs data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)