How to integrate Brilliant directories MCP with Pydantic AI

Connect Pydantic AI 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 Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Brilliant directories
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Brilliant directories workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Brilliant directories
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
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

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Brilliant directories
  • MCPServerStreamableHTTP connects to the Brilliant directories MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Brilliant directories
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["brilliant_directories"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Brilliant directories tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
brilliant_directories_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[brilliant_directories_mcp],
    instructions=(
        "You are a Brilliant directories assistant. Use Brilliant directories tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Brilliant directories endpoint
  • The agent uses GPT-5 to interpret user commands and perform Brilliant directories operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Brilliant directories.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Brilliant directories API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Brilliant directories
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["brilliant_directories"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    brilliant_directories_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[brilliant_directories_mcp],
        instructions=(
            "You are a Brilliant directories assistant. Use Brilliant directories tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Brilliant directories.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

Conclusion

You've built a Pydantic AI agent that can interact with Brilliant directories through Composio's Tool Router. With this setup, your agent can perform real Brilliant directories actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Brilliant directories for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
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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