How to integrate Studio By Ai21 Labs MCP with LangChain

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Introduction

This guide walks you through connecting Studio By Ai21 Labs to LangChain 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 LangChain 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
  • Connect your Studio By Ai21 Labs project to Composio
  • Create a Tool Router MCP session for Studio By Ai21 Labs
  • Initialize an MCP client and retrieve Studio By Ai21 Labs tools
  • Build a LangChain agent that can interact with Studio By Ai21 Labs
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming

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

pip install composio-langchain langchain-mcp-adapters langchain python-dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • composio-langchain provides Composio integration for LangChain
  • langchain-mcp-adapters enables MCP client connections
  • langchain is the core agent framework
  • python-dotenv loads environment variables

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models

Import dependencies

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Studio By Ai21 Labs functionality through MCP

Initialize Composio client

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Studio By Ai21 Labs tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

# Create Tool Router session for Studio By Ai21 Labs
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['studio_by_ai21_labs']
)

url = session.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
  • This approach allows the agent to dynamically load and use Studio By Ai21 Labs tools as needed

Configure the agent with the MCP URL

client = MultiServerMCPClient({
    "studio_by_ai21_labs-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Studio By Ai21 Labs MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • get_tools() retrieves all available Studio By Ai21 Labs tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model

Set up interactive chat interface

conversation_history = []

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")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
What's happening:
  • We initialize an empty conversation_history list to maintain context across interactions
  • A while loop continuously accepts user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the ainvoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully

Run the application

if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • We call the main() function using asyncio.run() to start the application

Complete Code

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

from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['studio_by_ai21_labs']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "studio_by_ai21_labs-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    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")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

Conclusion

You've successfully built a LangChain agent that can interact with Studio By Ai21 Labs through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

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

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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 LangChain?

Yes, you can. LangChain 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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