How to integrate V0 MCP with OpenAI Agents SDK

This guide walks you through connecting V0 to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working V0 agent that can generate react code for a login page, list all your active v0 projects, summarize our last five chat sessions through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a V0 account through Composio's V0 MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Introduction

This guide walks you through connecting V0 to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working V0 agent that can generate react code for a login page, list all your active v0 projects, summarize our last five chat sessions through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a V0 account through Composio's V0 MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for V0
  • Configure an AI agent that can use V0 as a tool
  • Run a live chat session where you can ask the agent to perform V0 operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the V0 MCP server, and what's possible with it?

The V0 MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your V0 account. It provides structured and secure access to your V0 projects and chat-powered workflows, so your agent can perform actions like generating code, managing web projects, retrieving chat histories, and facilitating AI-driven conversations on your behalf.

  • AI-powered chat completions: Instantly generate conversational replies or code suggestions using V0's advanced chat models tailored for web development workflows.
  • Retrieve and manage chat sessions: List and access your previous AI-assisted chat threads, including support for filtering favorites and paginated results.
  • Project discovery and management: Fetch a complete list of your web development projects, making it easy for your agent to interact with or summarize project data.
  • Integrated development automation: Seamlessly combine chat capabilities and project management to automate code generation, troubleshooting, or project setup tasks.

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:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live V0 project
  • Some knowledge of Python or Typescript
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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like V0.
6

Set up the Composio instance

dotenv.config();

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for V0
const session = await composio.create(userId as string, {
  toolkits: ['v0'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only v0.
  • The router checks the user's V0 connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access V0.
  • This approach keeps things lightweight and lets the agent request V0 tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access V0. Help users perform V0 operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access V0 and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute V0 operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

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

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

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

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize V0.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with V0 and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

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

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['v0'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access V0. Help users perform V0 operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

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

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

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

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\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

This was a starter code for integrating V0 MCP with OpenAI Agents SDK to build a functional AI agent that can interact with V0.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every V0 action and event your agent gets out of the box.

Assign Chat To Project

Tool to assign a chat to a project.

V0 Chat Completions

Tool to generate a chat model response given a list of messages.

Create Webhook

Tool to create a new webhook subscription for receiving event notifications.

Create V0 Project

Tool to create a new v0 project container for chats and code generation.

Create Project Environment Variables

Tool to create new environment variables for a v0 project.

Create Vercel Project

Tool to link a Vercel project to an existing v0 project.

Delete Chat

Tool to permanently delete a specific chat by ID.

Delete Deployment

Tool to delete a deployment by ID from Vercel.

Delete Hook

Tool to delete a webhook by its ID.

Delete Project Environment Variables

Tool to delete multiple environment variables from a project by their IDs.

Delete V0 Project

Tool to permanently delete a v0 project by its ID.

Deploy Project

Tool to deploy a specific v0 chat version to Vercel.

Download Chat Version

Tool to download all files for a specific chat version as a zip or tarball archive.

Export Project Code

Tool to export a deployable snapshot of a v0 chat version by retrieving all files (including default/deployment files).

Favorite Chat

Tool to mark a chat as favorite or remove the favorite status.

Find Chats

Tool to retrieve a list of chats.

Find Projects

Tool to retrieve a list of projects associated with the authenticated user.

Find Vercel Projects

Tool to retrieve a list of Vercel projects linked to the user's v0 workspace.

Fork Chat

Tool to create a fork (copy) of an existing chat.

Get Chat

Tool to retrieve the full details of a specific chat using its chatId.

Get Chat Project

Tool to retrieve the v0 project associated with a given chat.

Get Deployment Errors

Tool to retrieve errors for a specific deployment.

Get Deployment Logs

Tool to retrieve logs for a specific deployment.

Get Hook

Tool to retrieve detailed information about a specific webhook by its ID.

Get Chat Message

Tool to retrieve detailed information about a specific message within a chat.

Get Project by ID

Tool to retrieve the details of a specific v0 project by its ID, including associated chats and metadata.

Get Project Environment Variable

Tool to retrieve a specific environment variable for a given project by its ID, including its value.

Get Rate Limits

Tool to retrieve the current rate limits for the authenticated user.

Get Usage Report

Tool to retrieve detailed usage events including costs, models used, and metadata.

Get User

Tool to retrieve the currently authenticated user's information.

Get User Billing

Tool to fetch billing usage and quota information for the authenticated user.

Get User Plan

Tool to retrieve the authenticated user's subscription plan details including billing cycle and balance.

Get User Scopes

Tool to retrieve all accessible scopes for the authenticated user, such as personal workspaces or shared teams.

Initialize Chat

Tool to initialize a new chat from source content such as files, repositories, registries, zip archives, or templates.

List Chat Versions

Tool to retrieve all versions (iterations) for a specific chat, ordered by creation date (newest first).

List Deployments

Tool to retrieve a list of deployments for a given project, chat, and version.

List Hooks

Tool to retrieve all webhooks tied to chat events or deployments.

List Messages

Tool to retrieve all messages within a specific chat.

List Project Environment Variables

Tool to retrieve all environment variables for a project with optional decryption.

Update Chat

Tool to update metadata of an existing v0 chat.

Update Chat Version Files

Tool to update source files of a specific chat version.

Update V0 Webhook

Tool to update the configuration of an existing webhook, including its name, event subscriptions, or target URL.

Update V0 Project

Tool to update the metadata of an existing v0 project using its projectId.

Update Project Environment Variables

Tool to update environment variables for a v0 project.

FAQ

Frequently asked questions

With a standalone V0 MCP server, the agents and LLMs can only access a fixed set of V0 tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from V0 and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. OpenAI Agents SDK 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 V0 tools.

Yes, absolutely. You can configure which V0 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 V0 data and credentials are handled as safely as possible.

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