How to integrate Agenty MCP with OpenAI Agents SDK

This guide walks you through connecting Agenty to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Agenty agent that can clone your top-performing agent for news sites, list all your running web scraping agents, create a new agent to monitor product prices through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Agenty account through Composio's Agenty MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Agenty logoAgenty
Api Key

Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.

79 Tools

Introduction

This guide walks you through connecting Agenty to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Agenty agent that can clone your top-performing agent for news sites, list all your running web scraping agents, create a new agent to monitor product prices through natural language commands.

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

The Agenty MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Agenty account. It provides structured and secure access to your web scraping agents and automation tools, so your agent can perform actions like creating, managing, cloning, and monitoring scraping agents, as well as handling API keys and templates—all on your behalf.

  • Agent creation and configuration: Instantly create new scraping or automation agents, set up their configurations, and optionally auto-start them—all without manual coding.
  • Clone and update agents: Duplicate existing agents to streamline workflows or update agent settings to refine your data extraction processes.
  • Fetch and manage agents: List all active agents in your account, retrieve details for any agent, and organize your entire automation fleet from a single place.
  • Template selection and management: Browse public agent templates or sample agents, making it easy to kickstart new projects or standardize scraping tasks.
  • API key management: Create, download, or delete API keys for secure programmatic access and efficient credential management, keeping your automation environment safe and organized.

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

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

Add List Rows

Tool to add new rows to a list.

Create Agent

Creates a new Agenty agent for web scraping, change detection, crawling, map monitoring, or brand monitoring.

Get Agent Templates

Tool to fetch all public agent templates and sample agents.

Delete Agent by ID

Tool to delete a single agent by its ID.

Fetch all agents

Tool to fetch all active agents under an account.

Get Agent by ID

Retrieves complete details of a specific agent including its configuration, input settings, scheduler, and metadata.

Update Agent by ID

Updates an existing agent's configuration, settings, and metadata.

Create API Key

Creates a new API key for programmatic access to the Agenty API.

Delete API key by ID

Delete an API key by its unique identifier.

Download API keys

Tool to download all API keys under an account in CSV format.

Get all API keys

Tool to retrieve all API keys under an account.

Get API key by ID

Retrieves detailed information about a specific API key by its ID.

Reset API key by ID

Resets (regenerates) the secret value of an existing API key.

Update API key by ID

Updates an existing API key's name and role by its unique identifier.

Capture Screenshot

Tool to capture a full-page or visible screenshot of any webpage URL.

Capture Screenshot with Options

Tool to capture webpage screenshots with extensive customization options including full-page capture, image format, quality settings, viewport configuration, and post-processing.

Change API key status by ID

Toggles the enabled/disabled status of an API key.

Get all connections

Retrieves all connections from your Agenty account.

Convert URL to PDF

Tool to convert a webpage URL to a PDF document.

Convert URL to PDF with Options

Tool to convert a URL or raw HTML to PDF with customizable options.

Copy Agent

Tool to copy an existing agent by its ID, creating a duplicate with optionally a new name.

Create Workflow

Creates a new workflow in Agenty to automate actions based on agent events.

Get dashboard reports and usage

Tool to fetch account reports like pages used by agent, date, and product.

Delete List Row by ID

Tool to delete a specific row from a list by its unique identifier.

Delete List Rows by IDs

Tool to delete specific rows from a list by their IDs.

Delete Project

Tool to delete a project by its ID.

Delete Schedule

Tool to delete a schedule for an agent by its agent ID.

Delete Workflow by ID

Tool to delete a workflow by its ID.

Download Agent Result

Tool to download agent results by agent ID in CSV, TSV or JSON format.

Download List Rows

Tool to download list rows as CSV file.

Download users

Tool to download users list in CSV format.

Download workflows

Tool to download all workflows in CSV format.

Extract Structured Data

Tool to auto-extract structured data from a webpage including schema.

Extract Structured Data from URL

Tool to auto-extract structured data from a webpage URL.

Get Agent Result

Tool to get the most recent result data for an agent.

Get all team members

Tool to retrieve all team members (users) under an account.

Get URL Redirects

Tool to get the complete redirect chain for a URL.

Get Job Result

Tool to get the result data from a completed job.

Get list by ID

Retrieves detailed information about a specific list by its ID.

Get List Row by ID

Tool to fetch a specific row by its ID from a list.

Get Page Content

Tool to fetch the complete HTML content of any webpage URL.

Get Page Content with Options

Tool to fetch HTML content of a webpage with custom options including ad blocking.

Get Project by ID

Retrieves complete details of a specific project by its ID, including name, description, creator information, and timestamps.

Get Redirects with Options

Tool to get the complete redirect chain of a URL with custom navigation options.

Get Agent Schedule

Tool to retrieve the schedule configuration for a specific agent.

Get User by ID

Tool to retrieve detailed information about a user by their ID.

Get Workflow by ID

Retrieves complete details of a specific workflow by its ID.

Get agent input by ID

Retrieves the input configuration for a specific agent by its ID.

Update Input by Agent ID

Updates the input configuration for a specific agent in Agenty.

Download jobs

Tool to download all jobs in CSV format.

Download job file by ID

Tool to download output files by job ID.

Download Job Result by ID

Tool to download the agent output result by job ID.

Fetch all jobs

Tool to fetch all jobs under an account.

Get Job by ID

Retrieves comprehensive details about a specific job including its status, progress metrics (pages processed/succeeded/failed), timing information (created/started/completed times), resource consumption (page credits), and any error messages.

Get Job Logs by ID

Tool to fetch logs for a given job by its ID.

List job output files

Lists all output files generated by a specific job.

Start Agent Job

Tool to start a new agent job.

Stop Job by ID

Tool to stop a running job by job ID.

Clear List Rows

Tool to clear all rows in a list by its ID.

Create List

Tool to create a new list.

Delete List by ID

Tool to delete a specific list by its ID.

Download lists

Tool to download all lists in CSV format.

Get all lists

Tool to retrieve all lists under an account.

Fetch List Rows by ID

Tool to fetch all rows in a specified list.

Update List by ID

Tool to update a list's name and optionally description by list ID.

Upload CSV file to List

Tool to upload a CSV file to an Agenty list for bulk import of data rows.

Patch Workflow

Tool to partially update a workflow by ID.

Add Agents to Project

Add one or more agents to an Agenty project to organize and group related agents together.

Create Project

Creates a new project in Agenty.

Get all projects

Retrieve all projects in the authenticated user's account.

Remove Agent from Project

Remove an agent from an Agenty project.

Scrape Webpage Data

Tool to scrape data from any webpage using jQuery/CSS selectors.

Toggle Agent Schedule

Tool to toggle schedule on/off for an agent.

Transfer Agent Ownership

Tool to transfer agent ownership to another Agenty account.

Update List Row

Tool to update a specific row in a list by list ID and row ID.

Update Project

Update an existing project's name and description in Agenty.

Update Agent Schedule

Updates the schedule configuration for a specific agent.

Update User by ID

Tool to update a user's information by user ID.

Update Workflow

Tool to update an existing workflow's configuration by workflow ID.

FAQ

Frequently asked questions

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

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

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