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Build Custom AI Agents with Enigma

Beta

Enigma's remote MCP server is currently in beta.

Integrate Enigma directly into your custom AI agents and applications. Works with any framework - OpenAI Agents, LangChain, CrewAI, AutoGen, and more.

Prerequisites​

  • An Enigma API key, which you can find on the homepage of the Enigma Console
  • Python development environment

Quick Start with OpenAI Agents​

API Key Authentication (Recommended)

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    async with MCPServerStreamableHttp(
        params={
            "url": "https://mcp.enigma.com/http-key",
            "headers": {"x-api-key": "your_api_key"}
        }
    ) as server:
        await server.connect()
        
        agent = Agent(
            name="Business Intelligence Agent",
            mcp_servers=[server]
        )
        
        result = Runner.run_streamed(
            starting_agent=agent,
            input="Analyze Tacombi's financial performance and expansion strategy"
        )

asyncio.run(main())

Method 2: OAuth Authentication

import asyncio
from agents.mcp import MCPServerStreamableHttp

async def main():
    async with MCPServerStreamableHttp(
        params={"url": "https://mcp.enigma.com/http"}
    ) as server:
        await server.connect()
        # OAuth flow will open automatically
        
        # Your agent code here...

asyncio.run(main())

Framework Examples​

LangChain Integration

from langchain_openai import ChatOpenAI
from langchain_core.tools import BaseTool
from mcp_client import MCPClient

class EnigmaBusinessSearch(BaseTool):
    name = "search_business"
    description = "Search for business information"
    
    def _run(self, business_name: str) -> str:
        # MCP client integration
        client = MCPClient("https://mcp.enigma.com/http-key", 
                          headers={"x-api-key": "your_api_key"})
        return client.call_tool("search_business", {"name": business_name})

# Use in your LangChain agents
llm = ChatOpenAI()
tools = [EnigmaBusinessSearch()]

CrewAI Integration

from crewai import Agent, Task, Crew
from crewai_tools import BaseTool

class EnigmaTool(BaseTool):
    name: str = "Enigma Business Intelligence"
    description: str = "Access comprehensive business data and analytics"
    
    def _run(self, business_name: str) -> str:
        # Your MCP integration here
        pass

business_analyst = Agent(
    role='Business Analyst',
    goal='Analyze business performance and competitive landscape',
    backstory='Expert in business intelligence and market analysis',
    tools=[EnigmaTool()],
    verbose=True
)

Complete Examples Repository​

Get started quickly: Clone our comprehensive examples repository with ready-to-use implementations:

git clone https://github.com/enigma-io/enigma-mcp-examples
cd enigma-mcp-examples
pip install -r requirements.txt

Available examples:

  • OpenAI Agents with business intelligence workflows
  • LangChain integration for market research
  • CrewAI multi-agent business analysis teams
  • AutoGen collaborative business planning agents
  • Custom REST API wrapper for any framework

Authentication Options​

API Key (Recommended for Production)

  • More reliable for automated systems
  • No browser interaction required
  • Better for CI/CD and serverless environments
headers = {"x-api-key": "your_enigma_api_key"}

OAuth (Good for Development)

  • Browser-based authentication flow
  • Uses same credentials as Enigma Console
  • Better for local development and testing

Common Use Cases​

Due Diligence Agents

# Automate comprehensive business investigations
tools = ["search_business", "get_brand_legal_entities", 
         "search_negative_news", "search_gov_archive"]

Market Research Agents

# Competitive analysis and market sizing
tools = ["generate_brands_segment", "get_brand_locations",
         "get_brand_card_analytics"]

Compliance Monitoring Agents

# Ongoing business monitoring and risk assessment  
tools = ["search_kyb", "search_gov_archive", "search_negative_news"]

Troubleshooting​

API Key authentication failing?

  • Verify your API key at Enigma Console
  • Ensure the x-api-key header is properly set

OAuth flow not working?

  • Check that your development environment can open browser windows
  • Verify you're logged into Enigma Console in your default browser

MCP connection issues?

  • Ensure your framework supports HTTP MCP servers
  • Check network connectivity to mcp.enigma.com

Need help with integration?

Resources​

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