# How to integrate Enigma MCP with CrewAI

```json
{
  "title": "How to integrate Enigma MCP with CrewAI",
  "toolkit": "Enigma",
  "toolkit_slug": "enigma",
  "framework": "CrewAI",
  "framework_slug": "crew-ai",
  "url": "https://composio.dev/toolkits/enigma/framework/crew-ai",
  "markdown_url": "https://composio.dev/toolkits/enigma/framework/crew-ai.md",
  "updated_at": "2026-05-12T10:10:26.867Z"
}
```

## Introduction

This guide walks you through connecting Enigma to CrewAI 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 CrewAI 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/enigma/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/enigma/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/enigma/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/enigma/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/enigma/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/enigma/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/enigma/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/enigma/framework/cli)
- [Google ADK](https://composio.dev/toolkits/enigma/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/enigma/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/enigma/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/enigma/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/enigma/framework/llama-index)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Enigma connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Enigma
- Build a conversational loop where your agent can execute Enigma operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ENIGMA_CREATE_LIST` | Create List | Tool to create a new list to organize and group entities in Enigma. Use when you need to create a list for data generation or enrichment purposes. The list can be populated using search criteria (entityType and prompt) to find matching entities. |
| `ENIGMA_CREATE_SUGGESTION` | Create Suggestion | Tool to create a suggestion for data correction, enhancement, or analysis feedback in Enigma. Use when you need to submit feedback or suggest improvements to data in the Enigma platform. |
| `ENIGMA_DELETE_LIST` | Delete List | Tool to delete an existing list permanently from the system. Use when you need to remove a list by its ID. Returns confirmation with the ID of the deleted list. |
| `ENIGMA_GET_ACCOUNT` | Get Account Information | Tool to retrieve information about the current API account via GraphQL. Use when you need to check customer ID, billing details, pricing plan, credit availability, or auto-recharge settings. |
| `ENIGMA_GET_AGGREGATE_COUNTS` | Get Aggregate Counts | Tool to get aggregate counts of operating locations and their associated brands or legal entities. Use when you need summary counts rather than detailed entity information. Supports filtering by open operating locations. |
| `ENIGMA_GET_ATTRIBUTE_GROUPS` | Get Attribute Groups | Tool to retrieve attribute groups for Enigma entity types. Returns JSON metadata describing available attributes organized into logical groups (ID, Name, Address, etc.) with their corresponding GraphQL field paths. Use when you need to discover queryable fields for Brand, OperatingLocation, or LegalEntity entities. |
| `ENIGMA_GET_BACKGROUND_TASK` | Get Background Task Status | Tool to get the status and results of a background task by ID. Use when checking async operation progress or retrieving results from previously initiated long-running operations. |
| `ENIGMA_GET_BUSINESS` | Get Business by Enigma ID | Tool to retrieve detailed business information using an Enigma ID. Returns comprehensive business profile including addresses, names, websites, associated people, industries, and more. Use when you need complete business details for a specific Enigma ID obtained from a prior search or match operation. |
| `ENIGMA_GET_DECISION` | Get Screening Decision | Tool to retrieve a screening decision by its request ID. Use when you need to check the status, alert status, assignee, or timestamps of a previously created decision. Requires case management to be enabled for the account. |
| `ENIGMA_GET_GRAPH_QL_SCHEMA_EXTENDED` | Get Extended GraphQL Schema | Tool to retrieve extended schema information for Enigma's GraphQL API. Returns metadata about available types, fields, projections, and data asset metadata. Use when you need to explore the GraphQL schema structure or understand what data types and fields are available. |
| `ENIGMA_GET_LIST_MATERIALIZATION` | Get List Materialization | Tool to retrieve a specific list materialization by its unique ID. Returns detailed information about the materialized list including status, progress, and results location. Use when you need to check the status or retrieve results of a list materialization operation. |
| `ENIGMA_GET_SANCTIONED_ENTITY` | Get Sanctioned Entity Details | Tool to retrieve detailed information about a specific sanctioned entity by its ID. Returns full entity profile including names, aliases, DOB, nationality, addresses, documents, and program designations. Use this when you need complete information about a known sanctioned entity from screening results. |
| `ENIGMA_KYB_VERIFICATION` | KYB Business Verification | This tool performs a Know Your Business (KYB) check on a U.S. business by querying Enigma's dataset of legal entities based on official state records. It verifies business information and returns comprehensive details about the business, including best match, legal entities, brands, and watchlists. Supports U.S. businesses only. |
| `ENIGMA_LIST_DECISIONS` | List Screening Decisions | Tool to retrieve multiple screening decisions with pagination and filtering options. Use when you need to list, search, or review historical screening decisions by alert status, assignee, date range, tag, or decision status. |
| `ENIGMA_MATCH_BUSINESS` | Match Business Profile | Tool to match business records against Enigma's SMB data asset using fuzzy matching on business name and location. Use when you need to identify a business profile and obtain an Enigma ID for further data retrieval. |
| `ENIGMA_SCREENING_VERIFICATION` | Screen Against Sanctions and Watchlists | A tool to screen customers and transactions against sanctions and other watchlists. This endpoint allows for independent verification without requiring any external resource IDs. |
| `ENIGMA_SEARCH_GRAPH_QL` | Search Enigma Entities via GraphQL | Tool to search and retrieve entities from Enigma's comprehensive U.S. business database. Returns brands (customer-facing identities), operating locations (physical/virtual spaces), or legal entities (government registrations) based on search criteria. Search precision is approximately 94% for all entity types. Use when you need to find business information by name, address, phone, website, or TIN. |
| `ENIGMA_SEARCH_LISTS` | Search User-Created Lists | Tool to search and retrieve user-created lists via GraphQL. Returns paginated list connections with cursor-based pagination. Use when you need to query, filter, or browse entity lists. |
| `ENIGMA_VERIFY_BUSINESS_V2` | Verify Business Identity (KYB v2) | Tool to verify business identity using Enigma's KYB v2 endpoint. Performs comprehensive business verification including TIN verification, SSN verification, watchlist screening, and business bankruptcy checks. This is the current recommended version of the KYB API. Use when you need to verify a business's identity, check compliance, or assess business risk. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Enigma MCP server is an implementation of the Model Context Protocol that connects your AI agent to Enigma. It provides structured and secure access so your agent can perform Enigma operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account and API key
- A Enigma connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

**What's happening:**
- composio connects your agent to Enigma via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Enigma MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Enigma

**What's happening:**
- You create a Enigma only session through Composio
- Composio returns an MCP HTTP URL that exposes Enigma tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["enigma"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["enigma"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Enigma through Composio's Tool Router. The agent can perform Enigma operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Enigma MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/enigma/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/enigma/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/enigma/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/enigma/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/enigma/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/enigma/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/enigma/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/enigma/framework/cli)
- [Google ADK](https://composio.dev/toolkits/enigma/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/enigma/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/enigma/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/enigma/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/enigma/framework/llama-index)

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agentql](https://composio.dev/toolkits/agentql) - Agentql is a toolkit that connects AI agents to the web using a specialized query language. It enables structured web interaction and data extraction for smarter automations.
- [Agenty](https://composio.dev/toolkits/agenty) - 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.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Enigma MCP?

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.

### Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI 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.

### Can I manage the permissions and scopes for Enigma while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)