How to integrate Fireberry MCP with CrewAI

This guide walks you through connecting Fireberry to CrewAI 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 CrewAI 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.

Get started for freeGet a demo
Fireberry logoFireberry
Api Key

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 CrewAI 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 CrewAI 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.

Also integrate Fireberry with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Fireberry connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Fireberry
  • Build a conversational loop where your agent can execute Fireberry 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 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 step08 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Fireberry 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 Fireberry 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 Fireberry MCP URL
6

Create a Composio Tool Router session for Fireberry

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

url = session.mcp.url
What's happening:
  • You create a Fireberry only session through Composio
  • Composio returns an MCP HTTP URL that exposes Fireberry 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 Fireberry 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=["fireberry"],
)
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 Fireberry through Composio's Tool Router. The agent can perform Fireberry 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 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.

FRAMEWORKS

How to build Fireberry MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Fireberry MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Fireberry MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Fireberry MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Fireberry MCP with Claude Cowork

Codex logo

Codex

Use Fireberry MCP with Codex

OpenClaw logo

OpenClaw

Use Fireberry MCP with OpenClaw

Hermes logo

Hermes

Use Fireberry MCP with Hermes

CLI logo

CLI

Use Fireberry MCP with CLI

Google ADK logo

Google ADK

Use Fireberry MCP with Google ADK

LangChain logo

LangChain

Use Fireberry MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Fireberry MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Fireberry MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Fireberry MCP with LlamaIndex

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. CrewAI 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.

Start with Fireberry.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Fireberry tool your agent needs.Free to start.

Start building
Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREEBOOK A DEMO
agent.aiZoomLettaGleanHubSpotAWSWabi

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies