How to integrate Companyenrich MCP with OpenAI Agents SDK

This guide walks you through connecting Companyenrich to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Companyenrich agent that can enrich openai company profile by domain, find companies similar to stripe, search cybersecurity startups in berlin through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Companyenrich account through Composio's Companyenrich MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Companyenrich is a company data API for enrichment, search, and similar company discovery. Use it to turn domains or company names into clean business profiles fast.

32 Tools

Introduction

This guide walks you through connecting Companyenrich to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Companyenrich agent that can enrich openai company profile by domain, find companies similar to stripe, search cybersecurity startups in berlin through natural language commands.

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

The Companyenrich MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Companyenrich account. It provides structured and secure access so your agent can perform Companyenrich 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 starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Companyenrich 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 Companyenrich.
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 Companyenrich
const session = await composio.create(userId as string, {
  toolkits: ['companyenrich'],
});
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 companyenrich.
  • The router checks the user's Companyenrich connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Companyenrich.
  • This approach keeps things lightweight and lets the agent request Companyenrich 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 Companyenrich. Help users perform Companyenrich 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 Companyenrich 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 Companyenrich 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 Companyenrich.
  • 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 Companyenrich 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: ['companyenrich'],
  });
  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 Companyenrich. Help users perform Companyenrich 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 Companyenrich MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Companyenrich.

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

Autocomplete Companies

Returns a list of companies matching the given partial domain name.

Autocomplete Keywords

Lookup keywords for use in company search filters.

Autocomplete Positions

Lookup positions/job titles for use in people search filters.

Autocomplete Technologies

Lookup technologies for use in company search filters.

Count companies matching search criteria

Returns the total count of companies matching the given search criteria without retrieving the actual results.

Count Similar Companies

Tool to count the total number of similar companies matching the given search criteria without retrieving the actual results.

Create people search export job

Creates an asynchronous search export job for up to 50,000 people.

Create search export job

Creates an asynchronous search export job for company data.

Enrich company by domain

Enriches a company using its domain name as lookup parameter.

Enrich company by properties

Enriches a company using its properties.

Batch Enrich Companies

Enriches a list of companies using their domain names.

Find Similar Companies

Tool to find similar companies to the given company by domain.

Get Bulk Enrichment Job Status

Returns the current status of a bulk enrichment job.

Get Company Workforce

Returns workforce insights for a single company.

Get Country by Code

Tool to search for a country by its ISO 3166-1 alpha-2 code.

Get Current User

Returns information about the authenticated user, including their API key, credit balance, and account capabilities.

Get Job Details

Returns details for a specific job by ID.

Get People Search Export Job Status

Returns the current status of a person search export job.

Get Regions

Tool to get all available regions.

Get search export job status

Returns the current status of a search export job.

List all jobs

Returns a paginated list of all jobs (bulk enrichment, etc.

List bulk enrichment jobs

Returns a paginated list of all bulk enrichment jobs for the authenticated user.

List Industries

Obtain a list of all company industries.

List Person Search Export Jobs

Returns a paginated list of all person search export jobs for the authenticated user.

List search export jobs

Returns a paginated list of all search export jobs for the authenticated user.

Lookup Person by Email

Look up a person by email address.

Search people with cursor pagination

Searches people based on given criteria using cursor-based pagination.

Search cities by name or country

Search for cities by name or country codes.

Search companies by criteria

Searches companies based on given criteria.

Search Countries

Tool to search countries by name.

Search People

Searches people based on given criteria using page-based pagination.

Search States

Tool to search states by name or country codes.

FAQ

Frequently asked questions

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

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

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