How to integrate Brilliant directories MCP with Mastra AI

Connect Mastra 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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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 Mastra 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 Mastra 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:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Brilliant directories tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Brilliant directories tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Brilliant directories agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Brilliant directories through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_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 your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Brilliant directories

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["brilliant_directories"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Brilliant directories MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "brilliant_directories" for Brilliant directories access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Brilliant directories toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "brilliant_directories-mastra-agent",
    instructions: "You are an AI agent with Brilliant directories tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

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

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        brilliant_directories: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Brilliant directories toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

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

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["brilliant_directories"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      brilliant_directories: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "brilliant_directories-mastra-agent",
    instructions: "You are an AI agent with Brilliant directories tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { brilliant_directories: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Brilliant directories through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
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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