How to integrate Brilliant directories MCP with Autogen

This guide walks you through connecting Brilliant directories to AutoGen using the Composio tool router. By the end, you'll have a working Brilliant directories agent that can add a new member with company details, delete user and remove their uploaded images, list all categories used to organize members through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Brilliant directories account through Composio's Brilliant directories MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Brilliant directories logoBrilliant directories
Api Key

Brilliant Directories is an all-in-one platform for building and managing online membership communities and business directories. It streamlines listings, member management, and engagement tools into a single, easy interface.

44 Tools

Introduction

This guide walks you through connecting Brilliant directories to AutoGen using the Composio tool router. By the end, you'll have a working Brilliant directories agent that can add a new member with company details, delete user and remove their uploaded images, list all categories used to organize members through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Brilliant directories account through Composio's Brilliant directories MCP server.

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

Also integrate Brilliant directories with

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Brilliant directories
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Brilliant directories tools
  • Run a live chat loop where you ask the agent to perform Brilliant directories operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the Brilliant directories MCP server, and what's possible with it?

The Brilliant directories MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Brilliant directories account. It provides structured and secure access to your membership community and business directory platform, so your agent can perform actions like managing users, retrieving data categories, and automating lead and review workflows on your behalf.

  • User creation and management: Easily instruct your agent to create new users with detailed profiles or delete existing members, streamlining your directory's onboarding and maintenance.
  • Deep data category access: Ask your agent to fetch all available data categories from your site, making it simple to organize content or power dynamic site navigation experiences.
  • Lead field discovery and automation: Let your agent retrieve the full structure of your leads table, helping you automate lead capture, validation, or enrichment workflows with up-to-date field metadata.
  • Review field extraction and insights: Direct your agent to pull all available review fields, enabling smarter review management, analytics, or custom reporting based on your site’s feedback system.
  • User data field exploration: Have your agent fetch and analyze all user-related fields, supporting advanced user segmentation, targeted updates, or personalized communications.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Brilliant directories account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Brilliant directories via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Brilliant directories connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Brilliant directories session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["brilliant_directories"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Brilliant directories tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Brilliant directories assistant agent with MCP tools
    agent = AssistantAgent(
        name="brilliant_directories_assistant",
        description="An AI assistant that helps with Brilliant directories operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Brilliant directories tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Brilliant directories related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Brilliant directories tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Brilliant directories and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Brilliant directories session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["brilliant_directories"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Brilliant directories assistant agent with MCP tools
        agent = AssistantAgent(
            name="brilliant_directories_assistant",
            description="An AI assistant that helps with Brilliant directories operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Brilliant directories related question or task to the agent.\n")

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

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

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Brilliant directories through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Brilliant directories, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every Brilliant directories action and event your agent gets out of the box.

Create Album Photo

Tool to add a new album photo to a user's portfolio in Brilliant Directories.

Create Data Category

Creates a new data category (post type) in the Brilliant Directories website database.

Create Data Post

Tool to create a new Single Image Post (member post) in the Brilliant Directories database.

Create Lead

Tool to create a new lead in the Brilliant Directories database.

Create Portfolio Group

Creates a new multi-image portfolio post in the Brilliant Directories database.

Create Unsubscribe

Tool to add an unsubscriber to the database and unsubscribe a member from email campaigns.

Create User

Creates a new user/member account in the Brilliant Directories website database.

Create Users Click

Tool to add a new user clicked link tracking record to the database.

Create Widget

Tool to create a new widget in the Brilliant Directories website database.

Delete Album Photo

Tool to delete an album photo and its related data from the database.

Delete Data Category

Tool to permanently delete a post type (data category) and all related data from the database.

Delete Lead

Tool to delete a lead and their related data from the database.

Delete Portfolio Group

Tool to delete a multi-image post (portfolio group) and its related data from the database.

Delete Unsubscribe Record

Tool to delete an unsubscribe record and its related data from the database.

Delete User

This tool deletes an existing user record from the Brilliant Directories website database.

Delete Users Click

Tool to delete a user clicked link and their related data from the database.

Delete Widget

Tool to delete a widget and its related data from the database.

Get Album Photo

Retrieves the complete metadata and details for a single album image from Brilliant Directories.

Get Data Categories Fields

This tool retrieves all available custom fields for Data Categories (Post Types) in a Brilliant Directories website.

Get Data Category

Tool to retrieve configuration data for a single post type (data category) in Brilliant Directories.

Get Data Post

Tool to retrieve a single image/video post from the Brilliant Directories member posts system.

Get Lead

Tool to retrieve a single lead's complete information from Brilliant Directories.

Get Lead Fields

This tool retrieves all available fields in the leads table from a Brilliant Directories website.

Get Portfolio Group

Tool to retrieve multi-image post data by group_id.

Get Review

Tool to retrieve complete review data from Brilliant Directories based on review_id.

Get Reviews Fields

Get metadata about all available fields in the users_reviews table from a Brilliant Directories website.

Get Unsubscribe Record

Tool to retrieve a single unsubscriber record by ID.

Get User by ID

Tool to retrieve comprehensive data for a single user by their user_id.

Get User Data

Retrieves comprehensive user data from the Brilliant Directories database by searching for a specific property value.

Get User Clicked Link

Tool to retrieve click tracking data for a single user clicked link based on the click_id.

Get User Transactions

Retrieves payment and transaction history for a member in Brilliant Directories.

Get Widget

Retrieves the data of a single widget based on the widget_id.

Match Leads

Tool to match a batch of emails or user IDs to a specific lead record.

Search Reviews

Search reviews and their related data from the database.

Search Users

Search for users/members in the Brilliant Directories database with advanced filtering options.

Update Album Photo

Updates an existing album photo record in the Brilliant Directories database.

Update Data Category

Tool to update an existing post type (data category) record in Brilliant Directories.

Update Data Post

Updates a single image post record and related data in the Brilliant Directories database.

Update Lead

Updates an existing lead record in the Brilliant Directories website database.

Update Portfolio Group

Tool to update a multi-image post (portfolio group) record in the Brilliant Directories database.

Update Unsubscribe

Updates an existing unsubscribe list record in the Brilliant Directories database.

Update User

Updates an existing user record in the Brilliant Directories website database.

Update User Click Record

Updates a user clicked link record and their related data from the database.

Update Widget

Tool to update an existing widget record in the Brilliant Directories database.

FAQ

Frequently asked questions

With a standalone Brilliant directories MCP server, the agents and LLMs can only access a fixed set of Brilliant directories tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Brilliant directories and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Autogen 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 Brilliant directories tools.

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

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