How to integrate Studio By Ai21 Labs MCP with LangChain

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.

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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 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.

Also integrate Studio By Ai21 Labs with

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.

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 step10 STEPS
1

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
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters 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/core is the core agent framework
  • dotenv/config loads environment variables
4

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
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Studio By Ai21 Labs functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
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
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['studio_by_ai21_labs']
    }
);

const 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
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "studio_by_ai21_labs-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "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
  • getTools() retrieves all available Studio By Ai21 Labs tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept 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 invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['studio_by_ai21_labs']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "studio_by_ai21_labs-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Studio By Ai21 Labs related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

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.
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. 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.

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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