How to integrate Fireberry MCP with CrewAI

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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

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.

Supported Tools & Triggers

Tools
Create a CompetitorTool to create a new competitor in Fireberry.
Create a Fireberry contactTool to create a new contact in Fireberry CRM.
Create an Activity LogCreate a new Activity Log record in Fireberry.
Create a date fieldTool to create a new date field in a Fireberry object/table.
Create a Fireberry lookup fieldTool to create a lookup field in Fireberry CRM.
Create a new Fireberry accountTool to create a new account in Fireberry CRM.
Create an ArticleTool to create a new article in Fireberry.
Create a Fireberry assetCreates a new asset (account product) in Fireberry.
Create an OpportunityTool to create a new opportunity in Fireberry CRM.
Create an Order ItemTool to create a new order item in Fireberry CRM.
Create a noteCreate a new note record in Fireberry.
Create a phone callCreates a new phone call record in Fireberry's call log.
Create a Fireberry productTool to create a new product in Fireberry.
Create a ProjectTool to create a new project in Fireberry CRM.
Create a TaskTool to create a new task in Fireberry CRM.
Create a TicketTool to create a new ticket (case) in Fireberry CRM.
Create a URL fieldTool to create a new URL field in a Fireberry object/table.
Create a CampaignTool to create a new campaign in Fireberry.
Create a CRM OrderTool to create a new CRM Order in Fireberry.
Upload file to Fireberry recordTool to upload a file to a specific record in Fireberry.
Create a Fireberry meetingTool to create a new meeting (activity) in Fireberry.
Create a new Fireberry recordCreates a new record in a specified Fireberry table/module.
Delete an AccountTool to delete an account from Fireberry using its GUID.
Delete a CompetitorTool to delete a competitor in Fireberry by its GUID.
Delete a contractTool to delete a contract in Fireberry by its GUID.
Delete an Activity LogDelete an activity log by its GUID.
Delete a custom fieldTool to delete a custom field from a Fireberry object/table.
Delete an ArticleTool to delete an article from Fireberry by its GUID.
Delete a Fireberry assetDelete an asset from Fireberry by its unique identifier.
Delete an OpportunityTool to delete an opportunity in Fireberry by its GUID.
Delete an Order ItemTool to delete an order item in Fireberry by its GUID.
Delete a NoteTool to delete a note from Fireberry using its GUID.
Delete a Phone CallTool to delete a phone call record from Fireberry using its GUID.
Delete a projectTool to delete a project from Fireberry using its GUID.
Delete a taskTool to delete a task in Fireberry by its GUID.
Delete a ticketTool to delete a ticket (case) from Fireberry using its GUID.
Delete a Business UnitTool to delete a Business Unit in Fireberry using its GUID.
Delete a Fireberry campaignTool to delete a campaign from Fireberry.
Delete a ContactTool to delete a contact from Fireberry using its GUID.
Delete a CRM UserTool to delete a CRM user from Fireberry using its GUID.
Delete a MeetingTool to delete a meeting activity from Fireberry by its GUID.
Delete a productTool to delete a product in Fireberry by its GUID.
Get an AccountTool to retrieve a specific account record by its GUID.
Get a CRM OrderTool to retrieve a specific CRM Order from Fireberry by its GUID.
Get All AccountsTool 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 FireberryTool to retrieve all articles from Fireberry with pagination support.
Get All AssetsTool 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 CampaignsTool 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 ContactsTool to retrieve all contacts from Fireberry with pagination support.
Get All ContractsTool to retrieve all contracts from Fireberry with pagination support.
Get All Custom Object RecordsTool to retrieve all records from a specified custom object in Fireberry with pagination support.
Get All MeetingsTool 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 ObjectsTool to retrieve all object type metadata from Fireberry.
Get All Order ItemsTool to retrieve all order items from Fireberry with pagination support.
Get All OrdersTool to retrieve all orders from Fireberry with pagination support.
Get All Phone CallsTool 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 TasksTool to retrieve all tasks from Fireberry with pagination support.
Get All TicketsTool to retrieve all ticket records (cases) from Fireberry with pagination support.
Get All UsersTool to retrieve all CRM users from Fireberry with pagination support.
Get a MeetingTool to retrieve a specific meeting/activity record by its unique identifier (GUID).
Get an Activity LogTool to retrieve a specific activity log record from Fireberry by its GUID.
Get an ArticleTool to retrieve a specific article from Fireberry by its GUID.
Get an AssetTool to retrieve a specific asset record by its GUID.
Get an ObjectTool to retrieve metadata for a specific object by its ID.
Get an Object's FieldsTool to retrieve metadata about fields for a specific object type in Fireberry.
Get an OpportunityTool to retrieve a specific opportunity record by its GUID.
Get an Order ItemTool to retrieve a specific order item record by its GUID.
Get a NoteTool to retrieve a specific note record by its GUID.
Get a phone call recordTool to retrieve a specific phone call record from Fireberry by its GUID.
Get a ProductTool to retrieve a specific product record by its GUID.
Get a ProjectTool to retrieve a specific project from Fireberry by its GUID.
Get a TaskTool to retrieve a specific task record by its GUID.
Get a TicketTool to retrieve a specific ticket (case) record by its GUID.
Get Campaign by IDTool to retrieve a single campaign by its GUID.
Get a CompetitorTool to retrieve a specific competitor record by its GUID.
Get a ContactTool to retrieve a specific contact record by its GUID.
Get Custom Object RecordTool to retrieve a specific custom object record by its GUID and object code.
Get Field DetailsTool to retrieve detailed metadata for a specific field in a Fireberry object/table.
Get Object Field ValuesTool to retrieve picklist field values from the metadata endpoint.
Get Items for an OrderTool to retrieve all items for a specific order from Fireberry.
Get Picklist Field ValuesTool to retrieve picklist field values from Fireberry metadata API.
Get Picklist ValuesTool to retrieve all possible picklist (dropdown) values for a specific field by querying records and extracting unique values.
Get Related RecordsTool to retrieve related records for a specific object in Fireberry.
Get Fireberry Task by IDTool to retrieve a single task record by its unique ID (GUID).
Get a Fireberry user by IDTool to retrieve a single user by their unique ID from Fireberry.
List All OpportunitiesTool to retrieve all opportunities from Fireberry CRM with pagination support.
List All ProductsTool to retrieve all products from Fireberry CRM with pagination support.
Fireberry: Query RecordsQuery and retrieve records from a Fireberry module with optional filtering, sorting, and pagination.
Query Fireberry records with filtersQuery records in any Fireberry object with advanced filtering, sorting, and pagination.
Update a Business UnitTool to update an existing business unit in Fireberry.
Update Fireberry AccountUpdates an existing account record in Fireberry with new field values.
Update a Fireberry CompetitorUpdates an existing competitor record in Fireberry by GUID.
Update a Fireberry contactTool to update an existing contact in Fireberry CRM.
Update a ContractTool to update an existing contract in Fireberry.
Update an Activity LogUpdate an existing Activity Log record in Fireberry.
Update a Date FieldTool to update a date field configuration in Fireberry.
Update a Date & Time FieldTool to update a Date & Time field's properties in Fireberry.
Update a Formula FieldTool to update a formula field in Fireberry CRM.
Update an HTML FieldTool to update an HTML field configuration in Fireberry.
Update a Fireberry MeetingTool to update an existing meeting (activity) in Fireberry.
Update a Fireberry articleUpdates an existing article in Fireberry.
Update an AssetUpdate an existing asset (accountproduct) in Fireberry.
Update an Email Address FieldTool to update the configuration of an email address field in Fireberry.
Update an OpportunityTool to update an existing opportunity in Fireberry CRM.
Update an Order ItemTool to update an existing order item in Fireberry.
Update a Number FieldTool to update a number field configuration in Fireberry.
Update a Phone Number FieldTool to update a phone number field configuration in Fireberry.
Update a ProductTool to update an existing product in Fireberry.
Update a ProjectTool to update an existing project in Fireberry CRM.
Update a Text Area FieldTool to update a Text Area field's properties in Fireberry.
Update a Text FieldTool to update a text field configuration in Fireberry.
Update a TicketTool to update an existing ticket (case) in Fireberry.
Update a URL FieldTool to update a URL field configuration in Fireberry.
Update a UserTool to update an existing user in Fireberry CRM.
Update a Fireberry CampaignTool to update an existing campaign in Fireberry by its GUID.
Update a CRM OrderTool to update an existing CRM order in Fireberry.
Update a phone call recordTool to update an existing phone call record in Fireberry.
Update a Task (V2)Tool to update an existing task using Fireberry v2 API.

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

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

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.

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

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

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

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

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.

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

How to build Fireberry MCP Agent with another framework

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Use Fireberry MCP with Hermes

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Mastra AI logo

Mastra AI

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LlamaIndex

Use Fireberry MCP with LlamaIndex

FAQ

What are the differences in Tool Router MCP and Fireberry MCP?

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.

Can I use Tool Router MCP with CrewAI?

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.

Can I manage the permissions and scopes for Fireberry while using Tool Router?

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.

How safe is my data with Composio Tool Router?

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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