How to integrate Fireberry MCP with OpenAI Agents SDK

This guide walks you through connecting Fireberry to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Fireberry agent that can add new lead to contacts table, list all open deals in pipeline, fetch picklist options for deal stage through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Fireberry account through Composio's Fireberry MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Fireberry is a CRM platform that streamlines customer and sales management. It helps businesses organize contacts, automate sales, and integrate with other business tools.

123 Tools

Introduction

This guide walks you through connecting Fireberry to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Fireberry agent that can add new lead to contacts table, list all open deals in pipeline, fetch picklist options for deal stage through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Fireberry account through Composio's Fireberry MCP server.

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

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Fireberry
  • Configure an AI agent that can use Fireberry as a tool
  • Run a live chat session where you can ask the agent to perform Fireberry operations

What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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

The Fireberry MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Fireberry CRM account. It provides structured and secure access to your CRM data, so your agent can perform actions like creating records, querying customer information, and managing picklists on your behalf.

  • Automated record creation: Let your agent swiftly add new entries to any Fireberry table, such as contacts, leads, or deals, using structured data you provide.
  • Smart CRM data retrieval: Ask your agent to query records with powerful filtering, sorting, and pagination—perfect for finding the exact customer or deal you need.
  • Picklist value management: Effortlessly fetch all available options for any picklist (dropdown) field, making data entry and workflow automation simpler and error-free.
  • Custom module support: Enable your agent to work with any Fireberry module, so you can handle specialized business processes or custom workflows.

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:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Fireberry project
  • Some knowledge of Python or Typescript
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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Fireberry.
6

Set up the Composio instance

dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Fireberry
const session = await composio.create(userId as string, {
  toolkits: ['fireberry'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only fireberry.
  • The router checks the user's Fireberry connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Fireberry.
  • This approach keeps things lightweight and lets the agent request Fireberry tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Fireberry. Help users perform Fireberry operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Fireberry and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Fireberry operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

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

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
What's happening:
  • The program prints a session URL that you visit to authorize Fireberry.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Fireberry and OpenAI Agents SDK:

import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['fireberry'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Fireberry. Help users perform Fireberry operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

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

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});

Conclusion

This was a starter code for integrating Fireberry MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Fireberry.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

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

Create a Competitor

Tool to create a new competitor in Fireberry.

Create a Fireberry contact

Tool to create a new contact in Fireberry CRM.

Create an Activity Log

Create a new Activity Log record in Fireberry.

Create a date field

Tool to create a new date field in a Fireberry object/table.

Create a Fireberry lookup field

Tool to create a lookup field in Fireberry CRM.

Create a new Fireberry account

Tool to create a new account in Fireberry CRM.

Create an Article

Tool to create a new article in Fireberry.

Create a Fireberry asset

Creates a new asset (account product) in Fireberry.

Create an Opportunity

Tool to create a new opportunity in Fireberry CRM.

Create an Order Item

Tool to create a new order item in Fireberry CRM.

Create a note

Create a new note record in Fireberry.

Create a phone call

Creates a new phone call record in Fireberry's call log.

Create a Fireberry product

Tool to create a new product in Fireberry.

Create a Project

Tool to create a new project in Fireberry CRM.

Create a Task

Tool to create a new task in Fireberry CRM.

Create a Ticket

Tool to create a new ticket (case) in Fireberry CRM.

Create a URL field

Tool to create a new URL field in a Fireberry object/table.

Create a Campaign

Tool to create a new campaign in Fireberry.

Create a CRM Order

Tool to create a new CRM Order in Fireberry.

Upload file to Fireberry record

Tool to upload a file to a specific record in Fireberry.

Create a Fireberry meeting

Tool to create a new meeting (activity) in Fireberry.

Create a new Fireberry record

Creates a new record in a specified Fireberry table/module.

Delete an Account

Tool to delete an account from Fireberry using its GUID.

Delete a Competitor

Tool to delete a competitor in Fireberry by its GUID.

Delete a contract

Tool to delete a contract in Fireberry by its GUID.

Delete an Activity Log

Delete an activity log by its GUID.

Delete a custom field

Tool to delete a custom field from a Fireberry object/table.

Delete an Article

Tool to delete an article from Fireberry by its GUID.

Delete a Fireberry asset

Delete an asset from Fireberry by its unique identifier.

Delete an Opportunity

Tool to delete an opportunity in Fireberry by its GUID.

Delete an Order Item

Tool to delete an order item in Fireberry by its GUID.

Delete a Note

Tool to delete a note from Fireberry using its GUID.

Delete a Phone Call

Tool to delete a phone call record from Fireberry using its GUID.

Delete a project

Tool to delete a project from Fireberry using its GUID.

Delete a task

Tool to delete a task in Fireberry by its GUID.

Delete a ticket

Tool to delete a ticket (case) from Fireberry using its GUID.

Delete a Business Unit

Tool to delete a Business Unit in Fireberry using its GUID.

Delete a Fireberry campaign

Tool to delete a campaign from Fireberry.

Delete a Contact

Tool to delete a contact from Fireberry using its GUID.

Delete a CRM User

Tool to delete a CRM user from Fireberry using its GUID.

Delete a Meeting

Tool to delete a meeting activity from Fireberry by its GUID.

Delete a product

Tool to delete a product in Fireberry by its GUID.

Get an Account

Tool to retrieve a specific account record by its GUID.

Get a CRM Order

Tool to retrieve a specific CRM Order from Fireberry by its GUID.

Get All Accounts

Tool to retrieve all accounts from Fireberry CRM with pagination support.

Get All Activity Logs (v2)

Tool to retrieve all activity logs from Fireberry using v2 API endpoint with pagination support.

Get all articles from Fireberry

Tool to retrieve all articles from Fireberry with pagination support.

Get All Assets

Tool to retrieve all assets (account products) from Fireberry with pagination support.

Get All Business Units (v2)

Tool to retrieve all business units from Fireberry using v2 API endpoint with pagination support.

Get All Campaigns

Tool to retrieve all campaigns from Fireberry with pagination support.

Get All Competitors (v2)

Tool to retrieve all competitors from Fireberry with pagination support.

Get All Contacts

Tool to retrieve all contacts from Fireberry with pagination support.

Get All Contracts

Tool to retrieve all contracts from Fireberry with pagination support.

Get All Custom Object Records

Tool to retrieve all records from a specified custom object in Fireberry with pagination support.

Get All Meetings

Tool to retrieve all meetings (activities) from Fireberry CRM with pagination support.

Get All Notes (Detailed)

Tool to retrieve all notes from Fireberry with detailed field schema and pagination support.

Get All Objects

Tool to retrieve all object type metadata from Fireberry.

Get All Order Items

Tool to retrieve all order items from Fireberry with pagination support.

Get All Orders

Tool to retrieve all orders from Fireberry with pagination support.

Get All Phone Calls

Tool to retrieve all phone call records from Fireberry with pagination support.

Get All Projects (v2)

Tool to retrieve all projects from Fireberry with pagination support.

Get All Tasks

Tool to retrieve all tasks from Fireberry with pagination support.

Get All Tickets

Tool to retrieve all ticket records (cases) from Fireberry with pagination support.

Get All Users

Tool to retrieve all CRM users from Fireberry with pagination support.

Get a Meeting

Tool to retrieve a specific meeting/activity record by its unique identifier (GUID).

Get an Activity Log

Tool to retrieve a specific activity log record from Fireberry by its GUID.

Get an Article

Tool to retrieve a specific article from Fireberry by its GUID.

Get an Asset

Tool to retrieve a specific asset record by its GUID.

Get an Object

Tool to retrieve metadata for a specific object by its ID.

Get an Object's Fields

Tool to retrieve metadata about fields for a specific object type in Fireberry.

Get an Opportunity

Tool to retrieve a specific opportunity record by its GUID.

Get an Order Item

Tool to retrieve a specific order item record by its GUID.

Get a Note

Tool to retrieve a specific note record by its GUID.

Get a phone call record

Tool to retrieve a specific phone call record from Fireberry by its GUID.

Get a Product

Tool to retrieve a specific product record by its GUID.

Get a Project

Tool to retrieve a specific project from Fireberry by its GUID.

Get a Task

Tool to retrieve a specific task record by its GUID.

Get a Ticket

Tool to retrieve a specific ticket (case) record by its GUID.

Get Campaign by ID

Tool to retrieve a single campaign by its GUID.

Get a Competitor

Tool to retrieve a specific competitor record by its GUID.

Get a Contact

Tool to retrieve a specific contact record by its GUID.

Get Custom Object Record

Tool to retrieve a specific custom object record by its GUID and object code.

Get Field Details

Tool to retrieve detailed metadata for a specific field in a Fireberry object/table.

Get Object Field Values

Tool to retrieve picklist field values from the metadata endpoint.

Get Items for an Order

Tool to retrieve all items for a specific order from Fireberry.

Get Picklist Field Values

Tool to retrieve picklist field values from Fireberry metadata API.

Get Picklist Values

Tool to retrieve all possible picklist (dropdown) values for a specific field by querying records and extracting unique values.

Get Related Records

Tool to retrieve related records for a specific object in Fireberry.

Get Fireberry Task by ID

Tool to retrieve a single task record by its unique ID (GUID).

Get a Fireberry user by ID

Tool to retrieve a single user by their unique ID from Fireberry.

List All Opportunities

Tool to retrieve all opportunities from Fireberry CRM with pagination support.

List All Products

Tool to retrieve all products from Fireberry CRM with pagination support.

Fireberry: Query Records

Query and retrieve records from a Fireberry module with optional filtering, sorting, and pagination.

Query Fireberry records with filters

Query records in any Fireberry object with advanced filtering, sorting, and pagination.

Update a Business Unit

Tool to update an existing business unit in Fireberry.

Update Fireberry Account

Updates an existing account record in Fireberry with new field values.

Update a Fireberry Competitor

Updates an existing competitor record in Fireberry by GUID.

Update a Fireberry contact

Tool to update an existing contact in Fireberry CRM.

Update a Contract

Tool to update an existing contract in Fireberry.

Update an Activity Log

Update an existing Activity Log record in Fireberry.

Update a Date Field

Tool to update a date field configuration in Fireberry.

Update a Date & Time Field

Tool to update a Date & Time field's properties in Fireberry.

Update a Formula Field

Tool to update a formula field in Fireberry CRM.

Update an HTML Field

Tool to update an HTML field configuration in Fireberry.

Update a Fireberry Meeting

Tool to update an existing meeting (activity) in Fireberry.

Update a Fireberry article

Updates an existing article in Fireberry.

Update an Asset

Update an existing asset (accountproduct) in Fireberry.

Update an Email Address Field

Tool to update the configuration of an email address field in Fireberry.

Update an Opportunity

Tool to update an existing opportunity in Fireberry CRM.

Update an Order Item

Tool to update an existing order item in Fireberry.

Update a Number Field

Tool to update a number field configuration in Fireberry.

Update a Phone Number Field

Tool to update a phone number field configuration in Fireberry.

Update a Product

Tool to update an existing product in Fireberry.

Update a Project

Tool to update an existing project in Fireberry CRM.

Update a Text Area Field

Tool to update a Text Area field's properties in Fireberry.

Update a Text Field

Tool to update a text field configuration in Fireberry.

Update a Ticket

Tool to update an existing ticket (case) in Fireberry.

Update a URL Field

Tool to update a URL field configuration in Fireberry.

Update a User

Tool to update an existing user in Fireberry CRM.

Update a Fireberry Campaign

Tool to update an existing campaign in Fireberry by its GUID.

Update a CRM Order

Tool to update an existing CRM order in Fireberry.

Update a phone call record

Tool to update an existing phone call record in Fireberry.

Update a Task (V2)

Tool to update an existing task using Fireberry v2 API.

FAQ

Frequently asked questions

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

Yes, you can. OpenAI Agents SDK 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 Fireberry tools.

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

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