How to integrate Studio By Ai21 Labs MCP with Vercel AI SDK v6

This guide walks you through connecting Studio By Ai21 Labs to Vercel AI SDK v6 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 Vercel AI SDK 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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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 Vercel AI SDK v6 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 Vercel AI SDK 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 SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • How to set up and configure a Vercel AI SDK agent with Studio By Ai21 Labs integration
  • Using Composio's Tool Router to dynamically load and access Studio By Ai21 Labs tools
  • Creating an MCP client connection using HTTP transport
  • Building an interactive CLI chat interface with conversation history management
  • Handling tool calls and results within the Vercel AI SDK framework

What is Vercel AI SDK?

The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state.

Key features include:

  • streamText: Core function for streaming responses with real-time tool support
  • MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp
  • Step Counting: Control multi-step tool execution with stopWhen: stepCountIs()
  • OpenAI Provider: Native integration with OpenAI models

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 you begin, make sure you have:
  • Node.js and npm installed
  • A Composio account with API key
  • An OpenAI API key
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 required dependencies

bash
npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv

First, install the necessary packages for your project.

What you're installing:

  • @ai-sdk/openai: Vercel AI SDK's OpenAI provider
  • @ai-sdk/mcp: MCP client for Vercel AI SDK
  • @composio/core: Composio SDK for tool integration
  • ai: Core Vercel AI SDK
  • dotenv: Environment variable management
4

Set up environment variables

bash
OPENAI_API_KEY=your_openai_api_key_here
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here

Create a .env file in your project root.

What's needed:

  • OPENAI_API_KEY: Your OpenAI API key for GPT model access
  • COMPOSIO_API_KEY: Your Composio API key for tool access
  • COMPOSIO_USER_ID: A unique identifier for the user session
5

Import required modules and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});
What's happening:
  • We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio
  • The dotenv/config import automatically loads environment variables
  • The MCP client import enables connection to Composio's tool server
6

Create Tool Router session and initialize MCP client

typescript
async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["studio_by_ai21_labs"],
  });

  const mcpUrl = 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 mcp object contains the URL and authentication headers needed to connect to the MCP server
  • This session provides access to all Studio By Ai21 Labs-related tools through the MCP protocol
7

Connect to MCP server and retrieve tools

typescript
const mcpClient = await createMCPClient({
  transport: {
    type: "http",
    url: mcpUrl,
    headers: session.mcp.headers, // Authentication headers for the Composio MCP server
  },
});

const tools = await mcpClient.tools();
What's happening:
  • We're creating an MCP client that connects to our Composio Tool Router session via HTTP
  • The mcp.url provides the endpoint, and mcp.headers contains authentication credentials
  • The type: "http" is important - Composio requires HTTP transport
  • tools() retrieves all available Studio By Ai21 Labs tools that the agent can use
8

Initialize conversation and CLI interface

typescript
let messages: ModelMessage[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log(
  "Ask any questions related to studio_by_ai21_labs, like summarize my last 5 emails, send an email, etc... :)))\n",
);

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

rl.prompt();
What's happening:
  • We initialize an empty messages array to maintain conversation history
  • A readline interface is created to accept user input from the command line
  • Instructions are displayed to guide the user on how to interact with the agent
9

Handle user input and stream responses with real-time tool feedback

typescript
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;
  }

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

  try {
    const stream = streamText({
      model: openai("gpt-5"),
      messages,
      tools,
      toolChoice: "auto",
      stopWhen: stepCountIs(10),
      onStepFinish: (step) => {
        for (const toolCall of step.toolCalls) {
          console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • We use streamText instead of generateText to stream responses in real-time
  • toolChoice: "auto" allows the model to decide when to use Studio By Ai21 Labs tools
  • stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations
  • onStepFinish callback displays which tools are being used in real-time
  • We iterate through the text stream to create a typewriter effect as the agent responds
  • The complete response is added to conversation history to maintain context
  • Errors are caught and displayed with helpful retry suggestions

Complete Code

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

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Composio } from "@composio/core";
import * as readline from "readline";
import { streamText, type ModelMessage, stepCountIs } from "ai";
import { createMCPClient } from "@ai-sdk/mcp";

const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey,
});

async function main() {
  // Create a tool router session for the user
  const session = await composio.create(composioUserID!, {
    toolkits: ["studio_by_ai21_labs"],
  });

  const mcpUrl = session.mcp.url;

  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      url: mcpUrl,
      headers: session.mcp.headers, // Authentication headers for the Composio MCP server
    },
  });

  const tools = await mcpClient.tools();

  let messages: ModelMessage[] = [];

  console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
  console.log(
    "Ask any questions related to studio_by_ai21_labs, like summarize my last 5 emails, send an email, etc... :)))\n",
  );

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

  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;
    }

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

    try {
      const stream = streamText({
        model: openai("gpt-5"),
        messages,
        tools,
        toolChoice: "auto",
        stopWhen: stepCountIs(10),
        onStepFinish: (step) => {
          for (const toolCall of step.toolCalls) {
            console.log(`[Using tool: ${toolCall.toolName}]`);
          }
          if (step.toolCalls.length > 0) {
            console.log(""); // Add space after tool calls
          }
        },
      });

      for await (const chunk of stream.textStream) {
        process.stdout.write(chunk);
      }

      console.log("\n\n---\n");

      // Get final result for message history
      const response = await stream.response;
      if (response?.messages?.length) {
        messages.push(...response.messages);
      }
    } catch (error) {
      console.error("\nAn error occurred while talking to the agent:");
      console.error(error);
      console.log(
        "\nYou can try again or restart the app if it keeps happening.\n",
      );
    } finally {
      rl.prompt();
    }
  });

  rl.on("close", async () => {
    await mcpClient.close();
    console.log("\n👋 Session ended.");
    process.exit(0);
  });
}

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

Conclusion

You've successfully built a Studio By Ai21 Labs agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback.

Key features of this implementation:

  • Real-time streaming responses for a better user experience with typewriter effect
  • Live tool execution feedback showing which tools are being used as the agent works
  • Dynamic tool loading through Composio's Tool Router with secure authentication
  • Multi-step tool execution with configurable step limits (up to 10 steps)
  • Comprehensive error handling for robust agent execution
  • Conversation history maintenance for context-aware responses

You can extend this further by adding custom 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.

FRAMEWORKS

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

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Studio By Ai21 Labs MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Studio By Ai21 Labs MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Studio By Ai21 Labs MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Studio By Ai21 Labs MCP with Claude Cowork

Codex logo

Codex

Use Studio By Ai21 Labs MCP with Codex

OpenClaw logo

OpenClaw

Use Studio By Ai21 Labs MCP with OpenClaw

Hermes logo

Hermes

Use Studio By Ai21 Labs MCP with Hermes

CLI logo

CLI

Use Studio By Ai21 Labs MCP with CLI

Google ADK logo

Google ADK

Use Studio By Ai21 Labs MCP with Google ADK

LangChain logo

LangChain

Use Studio By Ai21 Labs MCP with LangChain

Mastra AI logo

Mastra AI

Use Studio By Ai21 Labs MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Studio By Ai21 Labs MCP with LlamaIndex

CrewAI logo

CrewAI

Use Studio By Ai21 Labs MCP with CrewAI

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. Vercel AI SDK v6 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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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies