How to integrate Studio By Ai21 Labs MCP with Pydantic AI

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.

Studio By Ai21 Labs logoStudio By Ai21 Labs
Api Key

Studio By Ai21 Labs offers API access to Jurassic-1 large-language models. Build apps with advanced text generation and comprehension features.

57 Tools

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

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

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
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
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
6

Create a Tool Router Session

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")
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
7

Initialize the Pydantic AI Agent

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."
    ),
)
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
8

Build the chat interface

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()
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
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Studio By Ai21 Labs and Pydantic AI:

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.
TOOLS

Supported Tools

Every Studio By Ai21 Labs action and event your agent gets out of the box.

Check Can Iframe

Tool to check if a URL can be embedded in an iframe.

Compare Text

Tool to compare two text strings and identify differences.

Create Aftersales Parts Classification Batch

Tool to create a batch job for Fnac Aftersales parts classification.

Create Assistant Route

Tool to create a new route for an AI21 Studio assistant.

Create Assistant

Tool to create a new AI assistant in AI21 Studio.

Create Assistant Plan

Tool to create a new plan for an AI21 Studio assistant.

Create Demo

Tool to create a new demo in AI21 Studio.

Generate Requirements

Tool to generate requirements from a query or task description.

Generate Thread Name

Tool to generate a thread name from a query or conversation context.

Create Kirsh Grant Compliance Preview

Tool to preview grant compliance for Kirsh grants.

Kirsh Grant Metadata Preview

Tool to retrieve grant metadata from the Kirsh preview endpoint.

Create MCP Storage

Tool to create MCP (Model Context Protocol) storage in AI21 Studio.

Create Secret

Tool to save a secret in AI21 Studio.

Check Kirsh Grant Compliance

Tool to check compliance for Kirsh grant IDs.

Create Website Connector

Tool to create a website connector in AI21 Studio.

Delete Assistant

Tool to delete an assistant by its unique ID.

Delete Assistant Route

Tool to delete a route from an AI21 Studio assistant.

Delete Demo

Tool to delete a demo by its unique ID.

Delete MCP Storage

Tool to delete an MCP (Model Context Protocol) storage configuration by its unique ID.

Delete Secret

Tool to delete a secret by its unique ID.

Delete Website Connector

Permanently delete a website connector by its unique identifier.

Download Modified Document

Tool to download a modified document from AI21 Labs Studio.

Get Assistant

Tool to retrieve an assistant by its unique identifier.

Get Assistant Route

Tool to retrieve details of a specific route for an AI21 Studio assistant.

Get Assistants By MCP

Tool to retrieve all assistants associated with a specific MCP (Model Context Protocol) storage configuration.

Get Batch Prediction Status

Tool to check the status of a Fnac Aftersales parts classification batch prediction job.

Get Demo

Tool to retrieve a demo by its unique ID.

Grant Kirsh Metadata

Tool to retrieve Kirsh grant metadata by grant ID.

Get Library Batch Status

Tool to get the ingestion status of a library batch.

Get MCP Storage

Tool to retrieve a specific MCP (Model Context Protocol) storage configuration by its unique ID.

Get Output Explanation

Tool to get output explanation for an execution (cached or generated).

Get Plan

Tool to retrieve a specific plan from an AI21 Studio assistant.

Get Website Connector By ID

Tool to retrieve details of a specific website connector by its ID.

Get Website Connector Status

Tool to retrieve the status of a website connector ingestion.

Get Website Connector URL Status

Tool to retrieve the status of a specific URL in the website connector.

Ingest Website Connector

Tool to ingest website content via sitemap URL in AI21 Studio.

Ingest Website Connector URL

Tool to ingest a website URL into AI21 Studio's website connector.

List Assistants

Tool to retrieve all assistants from AI21 Studio.

List Website Connectors

Tool to retrieve website connector information from AI21 Studio.

List Demos

Tool to retrieve all demos from AI21 Studio.

List Library Files

Tool to list files in the workspace library with optional filtering.

List MCP Storage

Tool to retrieve all MCP (Model Context Protocol) storage configurations from AI21 Studio.

List Models

Tool to retrieve information about all available AI21 models.

List Plans

Tool to list all plans for a specific assistant.

List Secrets

Tool to retrieve all secrets from AI21 Studio secret storage.

List Workspace Models

Tool to retrieve all workspace models by organization from AI21 Studio.

List Available Models

Tool to retrieve all available models from AI21 Studio settings.

Modify Assistant

Tool to modify an existing AI21 Studio assistant.

Modify Assistant Route

Tool to modify an existing route within an assistant.

Modify Assistant Plan

Tool to modify an existing assistant plan in AI21 Studio.

Retry Ingest Website

Tool to retry ingestion of a website in AI21 Studio.

Run Assistant

Tool to run an AI21 Studio assistant with conversational input.

Sync Website Connector

Tool to sync a website connector in AI21 Studio.

Update Demo

Tool to update an existing demo in Studio by AI21 Labs.

Update MCP Storage

Tool to update an existing MCP (Model Context Protocol) storage configuration in AI21 Studio.

Update Secret

Tool to update an existing secret in AI21 Studio.

Validate Plan

Tool to validate Python code for an AI21 Studio assistant plan.

FAQ

Frequently asked questions

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.

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.

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.

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.

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