How to integrate Quo MCP with OpenAI Agents SDK

This guide walks you through connecting Quo to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Quo agent that can get call details and voicemails, get messages, manage contacts, create tasks, and manage webhooks through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Quo account through Composio's Quo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Quo is a business phone platform for calls, SMS, contacts, and team conversations. It helps teams manage customer communication from one shared, searchable workspace.

36 Tools

Introduction

This guide walks you through connecting Quo to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Quo agent that can get call details and voicemails, get messages, manage contacts, create tasks, and manage webhooks through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Quo account through Composio's Quo 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 Quo
  • Configure an AI agent that can use Quo as a tool
  • Run a live chat session where you can ask the agent to perform Quo 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 Quo MCP server, and what's possible with it?

The Quo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Quo account. It provides structured and secure access to your business calls, messages, contacts, conversations, tasks, users, and webhooks, so your agent can review calls, send text messages, manage contacts, organize conversations and tasks, and monitor webhook activity on your behalf.

  • Call and voicemail review: Have your agent review call participants, routing, status, timing, recordings, voicemail transcripts, and recording details.
  • Messaging and conversation management: Direct your agent to find and read messages, send texts from your Quo numbers, and mark conversations as read, open, or done.
  • Contact organization: Let the agent create, find, update, or delete contacts while working with standard details, custom fields, and external source information.
  • Task coordination: Instruct your agent to create and edit tasks, connect them to calls or conversations, assign teammates, set due dates, and complete or reopen work.
  • Webhook monitoring: Have your agent create, update, review, or remove webhook subscriptions and inspect their delivery activity and outcomes.

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 Quo 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 Quo.
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 Quo
const session = await composio.create(userId as string, {
  toolkits: ['quo'],
});
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 quo.
  • The router checks the user's Quo connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Quo.
  • This approach keeps things lightweight and lets the agent request Quo 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 Quo. Help users perform Quo 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 Quo 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 Quo 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 Quo.
  • 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 Quo 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: ['quo'],
  });
  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 Quo. Help users perform Quo 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 Quo MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Quo.

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 Quo action and event your agent gets out of the box.

Create Contact

Create a Quo contact with standard fields, optional custom fields, and external source metadata.

Create Task

Create a task linked to exactly one phone number, conversation, or activity.

Create Webhook

Create one unified webhook subscription for selected Quo events and return its signing secret, which must be stored securely.

Delete Contact

Permanently delete one Quo contact by ID.

Delete Task

Permanently delete one Quo task by ID.

Delete Webhook

Permanently delete one unified Quo webhook and revoke its signing secret.

Get Call

Get one call and its routing, participants, status, and timing details by ID.

Get Call Voicemail

Get voicemail processing status, transcript, duration, and recording URL for a Quo call.

Get Contact

Get one contact with default and custom fields by Quo contact ID.

Get Message

Get one message by Quo message ID, including its content, related IDs, participants, delivery status, and timestamps.

Get Phone Number

Get one Quo phone number and its assignments and restrictions by ID.

Get Task

Get one task and its current links, assignee, due date, and completion state.

Get User

Get one workspace user by Quo user ID.

Get Webhook

Get one unified Quo webhook by its numeric ID.

Get Webhook Delivery

Get the payload and attempt details for one Quo webhook delivery event.

List Call Recordings

List recording segments for a Quo call in chronological order.

List Calls

List calls between a Quo number and one external participant with optional user and creation-time filters.

List Contact Custom Fields

List the workspace's contact custom-field definitions for constructing valid contact values.

List Contacts

List contacts, optionally filtered by external IDs or source, with stable-v1 phone and custom fields.

List Conversations

List inbox conversations with optional phone-number, user, creation-time, update-time, and inactive-state filters.

List Messages

List messages exchanged by a Quo phone number and one or more participants, optionally filtered by sender or creation time.

List Phone Numbers

List Quo phone numbers and their assigned users, calling restrictions, and messaging restrictions.

List Tasks

List workspace tasks with cursor-controlled pagination.

List Users

List workspace users and return one cursor-controlled page.

List Webhook Deliveries

List one page of delivery events for a unified Quo webhook, optionally filtered by status, event type, or dispatch time.

List Webhooks

List unified Quo webhooks across call, message, contact, task, and integration event families.

Send Message

Send an irreversible text message from a Quo number to one or more recipients.

Send Message and Mark Conversation Done

Send an irreversible text message from a Quo number and move the resulting inbox conversation to Done.

Set Conversation Status

Set a Quo conversation to read, done, or open.

Set Task Assignee

Assign or unassign a Quo user on a task.

Set Task Completion

Complete or reopen a Quo task.

Set Task Conversation Link

Link or unlink a Quo task and conversation.

Set Task Due Date

Set or remove a Quo task's due date.

Update Contact

Patch selected standard, custom, or source fields on an existing Quo contact.

Update Task

Replace both the title and description of an existing Quo task.

Update Webhook

Partially update a unified Quo webhook.

FAQ

Frequently asked questions

With a standalone Quo MCP server, the agents and LLMs can only access a fixed set of Quo tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Quo 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 Quo tools.

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

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