How to integrate Maintainx MCP with CrewAI

This guide walks you through connecting Maintainx to CrewAI using the Composio tool router. By the end, you'll have a working Maintainx agent that can create a new urgent work order for hvac, list all open work orders at warehouse, add comment to work order 12345 through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Maintainx account through Composio's Maintainx MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Maintainx

Api Key

Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.

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Introduction

This guide will help you understand how to give your CrewAI agent real control over a Maintainx account through Composio's Maintainx MCP server.

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

Also integrate Maintainx with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex

TL;DR

Here's what you'll learn:

Get a Composio API key and configure your Maintainx connection
Set up CrewAI with an MCP enabled agent
Create a Tool Router session or standalone MCP server for Maintainx
Build a conversational loop where your agent can execute Maintainx 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 Maintainx MCP server, and what's possible with it?

The Maintainx MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Maintainx account. It provides structured and secure access to your maintenance operations, so your agent can create work orders, update existing tasks, manage assets, and keep your teams aligned—automatically and on your behalf.

Work order creation and management: Instantly have your agent create new work orders, add detailed descriptions, set priorities, and assign them to the right teams or users.
Automated work order updates and comments: Let your agent update existing work orders or add comments for documentation and real-time communication between team members.
Asset and location tracking: Effortlessly list and retrieve all assets and locations across your organization, helping you keep maintenance data organized and accessible.
Category and team organization: Enable your agent to fetch and manage categories or teams, ensuring work orders and assets are classified and assigned correctly.
Smart work request portals: Have your agent generate custom work request portals so stakeholders can submit maintenance requests easily and securely.

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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account and API key
A Maintainx 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 Maintainx 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 Maintainx MCP URL

Create a Composio Tool Router session for Maintainx

python

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

url = session.mcp.url

What's happening:

You create a Maintainx only session through Composio
Composio returns an MCP HTTP URL that exposes Maintainx 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 Maintainx 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=["maintainx"],
)
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 Maintainx through Composio's Tool Router. The agent can perform Maintainx 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 Maintainx action and event your agent gets out of the box.

Create Category

Tool to create a new category in MaintainX for organizing work orders, assets, and other items.

Create Location

Tool to create a new location in MaintainX.

Create Procedure Template

Tool to create a new procedure template in MaintainX with checklist items for work orders.

Create Work Order

This tool creates a new work order in MaintainX.

Create Work Order Comment

This tool creates a new comment on an existing work order in MaintainX.

Create Work Request

Tool to create a new work request in MaintainX.

Create Work Request Portal

Creates a new work request portal in MaintainX.

Delete Assets

Tool to delete an asset from MaintainX by its ID.

Delete Category

Tool to delete a category in MaintainX.

Find Entity

A tool to search and find specific entities within MaintainX by specified fields.

Get Category

Tool to retrieve detailed information about a specific category by its ID.

Get Location

Tool to retrieve detailed information about a specific location by its ID.

Get User

Tool to retrieve detailed information about a specific user by their ID.

Get Vendor

Tool to retrieve detailed information about a specific vendor by its ID.

Get Work Order Costs

Tool to retrieve costs information for a specific work order by its ID.

List Asset Criticalities

Tool to retrieve a list of asset criticalities from MaintainX.

List Assets

This tool allows users to retrieve a list of all assets in their organization.

List Categories

This tool retrieves a list of all categories in your MaintainX organization.

List Locations

This tool retrieves a list of all available locations in the organization's MaintainX account.

List Meters

Tool to list all meters in your organization.

List Parts

Tool to list parts/inventory items with pagination and filtering.

List Procedure Templates

Tool to list procedure templates from MaintainX.

List Teams

This tool retrieves a list of all teams in your MaintainX organization.

List Work Orders

Action to list work orders from MaintainX.

List Work Request Portals

Tool to list all work request portals in your MaintainX organization.

List Work Requests

Tool to retrieve a list of work requests from MaintainX.

Update Vendor Attachment

Tool to update a vendor attachment in MaintainX.

Update Work Order

This tool allows users to update an existing work order in MaintainX by modifying specific attributes without affecting other unchanged fields.

Update Work Order Status

This tool allows users to update the status of a specific work order in MaintainX.

Update Work Request Portal

Updates an existing work request portal in MaintainX.

FRAMEWORKS

How to build Maintainx MCP Agent with another framework

OpenAI Agents SDK

Use Maintainx MCP with OpenAI Agents SDK

Claude Agent SDK

Use Maintainx MCP with Claude Agent SDK

Claude Code

Use Maintainx MCP with Claude Code

Claude Cowork

Use Maintainx MCP with Claude Cowork

Codex

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OpenClaw

Use Maintainx MCP with OpenClaw

Hermes

Use Maintainx MCP with Hermes

CLI

Use Maintainx MCP with CLI

Google ADK

Use Maintainx MCP with Google ADK

LangChain

Use Maintainx MCP with LangChain

Vercel AI SDK

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Mastra AI

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LlamaIndex

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MORE TOOLKITS

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Toolkit marketplace

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Bouncer

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Conveyor

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FAQ

Frequently asked questions

With a standalone Maintainx MCP server, the agents and LLMs can only access a fixed set of Maintainx tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Maintainx 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 Maintainx tools.

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

Start with Maintainx.It takes 30 seconds.

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

Start building

Customer stories

Teams ship real agents on Composio

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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

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

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

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

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

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

Co-Founder, Ingram Technologies

How to integrate Maintainx MCP with CrewAI

Connect Maintainx without auth hassles

Introduction

Also integrate Maintainx with

TL;DR

What is CrewAI?

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

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Composio Tool Router session for Maintainx

Initialize the MCP Server

Create a CLI Chatloop and define the Crew

Complete Code

Conclusion

Supported Tools

How to build Maintainx MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

Explore Other Toolkits

Apilio

Basin

Bouncer

Conveyor

Frequently asked questions

What are the differences in Tool Router MCP and Maintainx MCP?+

Can I use Tool Router MCP with CrewAI?+

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

How safe is my data with Composio Tool Router?+

Start with Maintainx.It takes 30 seconds.

Teams ship real agents on Composio