How to integrate Enigma MCP with OpenAI Agents SDK

This guide walks you through connecting Enigma to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Enigma agent that can verify the legitimacy of acme corp in delaware, check if a business is on any u.s. sanctions list, get detailed kyb info for a california llc through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Enigma account through Composio's Enigma MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Enigma logoEnigma
Api Key

Enigma provides trusted data on U.S. businesses, including identity, firmographics, and financial health. It helps sales, marketing, and risk teams make smarter, faster decisions.

19 Tools

Introduction

This guide walks you through connecting Enigma to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Enigma agent that can verify the legitimacy of acme corp in delaware, check if a business is on any u.s. sanctions list, get detailed kyb info for a california llc through natural language commands.

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

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

Also integrate Enigma with

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 Enigma
  • Configure an AI agent that can use Enigma as a tool
  • Run a live chat session where you can ask the agent to perform Enigma 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 Enigma MCP server, and what's possible with it?

The Enigma MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Enigma account. It provides structured and secure access to comprehensive U.S. business data, so your agent can perform actions like verifying company identities, screening for compliance, and assessing financial health automatically.

  • Automated KYB business verification: Rapidly verify the legitimacy of U.S. businesses by checking official state records, brands, and legal entities through your agent.
  • Sanctions and watchlist screening: Instantly screen businesses and transactions against up-to-date sanctions and watchlists for enhanced compliance and risk mitigation.
  • Retrieve detailed business intelligence: Access comprehensive profiles on businesses, including best match results, affiliated brands, and entity structures.
  • Compliance automation: Let your agent independently run verification checks and screenings to streamline onboarding, due diligence, and regulatory workflows.

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

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

Create List

Tool to create a new list to organize and group entities in Enigma.

Create Suggestion

Tool to create a suggestion for data correction, enhancement, or analysis feedback in Enigma.

Delete List

Tool to delete an existing list permanently from the system.

Get Account Information

Tool to retrieve information about the current API account via GraphQL.

Get Aggregate Counts

Tool to get aggregate counts of operating locations and their associated brands or legal entities.

Get Attribute Groups

Tool to retrieve attribute groups for Enigma entity types.

Get Background Task Status

Tool to get the status and results of a background task by ID.

Get Business by Enigma ID

Tool to retrieve detailed business information using an Enigma ID.

Get Screening Decision

Tool to retrieve a screening decision by its request ID.

Get Extended GraphQL Schema

Tool to retrieve extended schema information for Enigma's GraphQL API.

Get List Materialization

Tool to retrieve a specific list materialization by its unique ID.

Get Sanctioned Entity Details

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

KYB Business Verification

This tool performs a Know Your Business (KYB) check on a U.

List Screening Decisions

Tool to retrieve multiple screening decisions with pagination and filtering options.

Match Business Profile

Tool to match business records against Enigma's SMB data asset using fuzzy matching on business name and location.

Screen Against Sanctions and Watchlists

A tool to screen customers and transactions against sanctions and other watchlists.

Search Enigma Entities via GraphQL

Tool to search and retrieve entities from Enigma's comprehensive U.

Search User-Created Lists

Tool to search and retrieve user-created lists via GraphQL.

Verify Business Identity (KYB v2)

Tool to verify business identity using Enigma's KYB v2 endpoint.

FAQ

Frequently asked questions

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

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

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