How to integrate Studio By Ai21 Labs MCP with Autogen

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Introduction

This guide walks you through connecting Studio By Ai21 Labs to AutoGen 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 AutoGen 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.

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Studio By Ai21 Labs
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Studio By Ai21 Labs tools
  • Run a live chat loop where you ask the agent to perform Studio By Ai21 Labs operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 & Triggers

Tools
Check Can IframeTool to check if a URL can be embedded in an iframe.
Compare TextTool to compare two text strings and identify differences.
Create Aftersales Parts Classification BatchTool to create a batch job for Fnac Aftersales parts classification.
Create Assistant RouteTool to create a new route for an AI21 Studio assistant.
Create AssistantTool to create a new AI assistant in AI21 Studio.
Create Assistant PlanTool to create a new plan for an AI21 Studio assistant.
Create DemoTool to create a new demo in AI21 Studio.
Generate RequirementsTool to generate requirements from a query or task description.
Generate Thread NameTool to generate a thread name from a query or conversation context.
Create Kirsh Grant Compliance PreviewTool to preview grant compliance for Kirsh grants.
Kirsh Grant Metadata PreviewTool to retrieve grant metadata from the Kirsh preview endpoint.
Create MCP StorageTool to create MCP (Model Context Protocol) storage in AI21 Studio.
Create SecretTool to save a secret in AI21 Studio.
Check Kirsh Grant ComplianceTool to check compliance for Kirsh grant IDs.
Create Website ConnectorTool to create a website connector in AI21 Studio.
Delete AssistantTool to delete an assistant by its unique ID.
Delete Assistant RouteTool to delete a route from an AI21 Studio assistant.
Delete DemoTool to delete a demo by its unique ID.
Delete MCP StorageTool to delete an MCP (Model Context Protocol) storage configuration by its unique ID.
Delete SecretTool to delete a secret by its unique ID.
Delete Website ConnectorPermanently delete a website connector by its unique identifier.
Download Modified DocumentTool to download a modified document from AI21 Labs Studio.
Get AssistantTool to retrieve an assistant by its unique identifier.
Get Assistant RouteTool to retrieve details of a specific route for an AI21 Studio assistant.
Get Assistants By MCPTool to retrieve all assistants associated with a specific MCP (Model Context Protocol) storage configuration.
Get Batch Prediction StatusTool to check the status of a Fnac Aftersales parts classification batch prediction job.
Get DemoTool to retrieve a demo by its unique ID.
Grant Kirsh MetadataTool to retrieve Kirsh grant metadata by grant ID.
Get Library Batch StatusTool to get the ingestion status of a library batch.
Get MCP StorageTool to retrieve a specific MCP (Model Context Protocol) storage configuration by its unique ID.
Get Output ExplanationTool to get output explanation for an execution (cached or generated).
Get PlanTool to retrieve a specific plan from an AI21 Studio assistant.
Get Website Connector By IDTool to retrieve details of a specific website connector by its ID.
Get Website Connector StatusTool to retrieve the status of a website connector ingestion.
Get Website Connector URL StatusTool to retrieve the status of a specific URL in the website connector.
Ingest Website ConnectorTool to ingest website content via sitemap URL in AI21 Studio.
Ingest Website Connector URLTool to ingest a website URL into AI21 Studio's website connector.
List AssistantsTool to retrieve all assistants from AI21 Studio.
List Website ConnectorsTool to retrieve website connector information from AI21 Studio.
List DemosTool to retrieve all demos from AI21 Studio.
List Library FilesTool to list files in the workspace library with optional filtering.
List MCP StorageTool to retrieve all MCP (Model Context Protocol) storage configurations from AI21 Studio.
List ModelsTool to retrieve information about all available AI21 models.
List PlansTool to list all plans for a specific assistant.
List SecretsTool to retrieve all secrets from AI21 Studio secret storage.
List Workspace ModelsTool to retrieve all workspace models by organization from AI21 Studio.
List Available ModelsTool to retrieve all available models from AI21 Studio settings.
Modify AssistantTool to modify an existing AI21 Studio assistant.
Modify Assistant RouteTool to modify an existing route within an assistant.
Modify Assistant PlanTool to modify an existing assistant plan in AI21 Studio.
Retry Ingest WebsiteTool to retry ingestion of a website in AI21 Studio.
Run AssistantTool to run an AI21 Studio assistant with conversational input.
Sync Website ConnectorTool to sync a website connector in AI21 Studio.
Update DemoTool to update an existing demo in Studio by AI21 Labs.
Update MCP StorageTool to update an existing MCP (Model Context Protocol) storage configuration in AI21 Studio.
Update SecretTool to update an existing secret in AI21 Studio.
Validate PlanTool to validate Python code for an AI21 Studio assistant plan.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Studio By Ai21 Labs account you can connect to Composio
  • Some basic familiarity with Autogen and Python async

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.

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Studio By Ai21 Labs via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Studio By Ai21 Labs connections to use

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Studio By Ai21 Labs session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["studio_by_ai21_labs"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Studio By Ai21 Labs tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Studio By Ai21 Labs assistant agent with MCP tools
    agent = AssistantAgent(
        name="studio_by_ai21_labs_assistant",
        description="An AI assistant that helps with Studio By Ai21 Labs operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Studio By Ai21 Labs tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Studio By Ai21 Labs related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Studio By Ai21 Labs tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Studio By Ai21 Labs session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["studio_by_ai21_labs"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Studio By Ai21 Labs assistant agent with MCP tools
        agent = AssistantAgent(
            name="studio_by_ai21_labs_assistant",
            description="An AI assistant that helps with Studio By Ai21 Labs operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Studio By Ai21 Labs related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Studio By Ai21 Labs through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Studio By Ai21 Labs, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Studio By Ai21 Labs MCP Agent with another framework

OpenAI Agents SDK

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Vercel AI SDK

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Mastra AI

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LlamaIndex

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CrewAI

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Claude Code

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Codex

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FAQ

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 Autogen?

Yes, you can. Autogen 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.

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