How to integrate Brilliant directories MCP with CrewAI

Connect CrewAI to Brilliant directories MCP. Add a new member with company details, delete user and remove their uploaded images, and more using natural language, with authentication handled for you.

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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 CrewAI using the Composio tool router. By the end, you'll have a working Brilliant directories agent that can create and search members, manage leads, publish data posts, search reviews, and update widgets through natural language commands.

This guide will help you understand how to give your CrewAI 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.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Brilliant directories with

TL;DR

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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Brilliant directories connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Brilliant directories via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

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
5

Import dependencies

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")
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 Brilliant directories MCP URL
6

Create a Composio Tool Router session for Brilliant directories

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["brilliant_directories"])

url = session.mcp.url
What's happening:
  • You create a Brilliant directories only session through Composio
  • Composio returns an MCP HTTP URL that exposes Brilliant directories tools
7

Initialize the MCP Server

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,
    )
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.
8

Create a CLI Chatloop and define the Crew

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")
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.

Complete Code

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

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=["brilliant_directories"],
)
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 Brilliant directories through Composio's Tool Router. The agent can perform Brilliant directories 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
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 Brilliant Directories user or member account with email, a password of at least six characters, and a membership plan ID, plus optional personal, contact, address, profile, and status fields.

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

Deletes a Brilliant Directories user and related data, with an option to delete the member's uploaded image files.

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 an album image by photo ID, returning supported metadata such as title, description, file paths, timestamps, and status.

Get Data Categories Fields

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

Get Data Category

Retrieves configuration data for a single Brilliant Directories post type by data ID, including identifying fields and search configuration.

Get Data Post

Retrieves a single image or video member post by post ID, returning supported post content, author, category, and associated user information.

Get Lead

Retrieves a lead by ID from Brilliant Directories, returning supported contact, inquiry, location, category, and other lead details.

Get Lead Fields

Returns a fixed list of lead field names, types, labels, and required and system-field flags after an API connectivity check.

Get Portfolio Group

Retrieves a multi-image post by group ID, returning supported post fields such as description, location, tags, image references, and property details when available.

Get Review

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

Get Reviews Fields

Returns a fixed set of review field definitions, including names, types, descriptions, and required flags.

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 using both user_id and client_id.

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 and related data by post ID, including content, status, and metadata.

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

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