# How to integrate Maintainx MCP with CrewAI ```json { "title": "How to integrate Maintainx MCP with CrewAI", "toolkit": "Maintainx", "toolkit_slug": "maintainx", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/maintainx/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/maintainx/framework/crew-ai.md", "updated_at": "2026-05-06T08:19:33.009Z" } ``` ## Introduction 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. ## Also integrate Maintainx with - [OpenAI Agents SDK](https://composio.dev/toolkits/maintainx/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/maintainx/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/maintainx/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/maintainx/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/maintainx/framework/codex) - [OpenClaw](https://composio.dev/toolkits/maintainx/framework/openclaw) - [Hermes](https://composio.dev/toolkits/maintainx/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/maintainx/framework/cli) - [Google ADK](https://composio.dev/toolkits/maintainx/framework/google-adk) - [LangChain](https://composio.dev/toolkits/maintainx/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/maintainx/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/maintainx/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/maintainx/framework/llama-index) ## 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. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `MAINTAINX_CREATE_WORK_ORDER` | Create Work Order | This tool creates a new work order in maintainx. it uses the post /api/v1/workorders endpoint. the tool requires a 'title' for the work order and offers several optional parameters including description, priority, duedate, startdate, userids, teamids, proceduretemplateid, locationid, assetid, and categories. | | `MAINTAINX_CREATE_WORK_ORDER_COMMENT` | Create Work Order Comment | This tool creates a new comment on an existing work order in maintainx. it allows users to add comments for documentation, updates, or communication purposes within a specific work order. it requires a workorderid and the text content of the comment to create a new comment on the work order, providing capabilities to update maintenance work order records. | | `MAINTAINX_CREATE_WORK_REQUEST_PORTAL` | Create Work Request Portal | Creates a new work request portal in maintainx. a work request portal allows users to submit work requests through a dedicated url. the portal can be customized with a title, welcome text, and description placeholder. it can be associated with a specific location and asset, and can be configured to require email contact information. | | `MAINTAINX_FIND_ENTITY` | Find Entity | A tool to search and find specific entities within maintainx by specified fields. this tool allows users to search for different types of entities including work orders, users, and locations. | | `MAINTAINX_LIST_ASSETS` | List Assets | This tool allows users to retrieve a list of all assets in their organization. | | `MAINTAINX_LIST_CATEGORIES` | List Categories | This tool retrieves a list of all categories in your maintainx organization. categories are used to organize and classify work orders, assets, and other items in the system. it supports listing the categories with pagination and provides details such as category id, name, description, and timestamps for creation and update. | | `MAINTAINX_LIST_LOCATIONS` | List Locations | This tool retrieves a list of all available locations in the organization's maintainx account. the locations can be physical places where assets are located, work is performed, or maintenance is needed. | | `MAINTAINX_LIST_TEAMS` | List Teams | This tool retrieves a list of all teams in your maintainx organization. | | `MAINTAINX_LIST_WORK_ORDERS` | List Work Orders | Action to list work orders from maintainx. | | `MAINTAINX_UPDATE_WORK_ORDER` | Update Work Order | This tool allows users to update an existing work order in maintainx by modifying specific attributes without affecting other unchanged fields. it requires the workorder id and at least one of the optional parameters (title, description, or priority) to perform the update. | | `MAINTAINX_UPDATE_WORK_ORDER_STATUS` | Update Work Order Status | This tool allows users to update the status of a specific work order in maintainx. it is focused specifically on status updates, making it more streamlined than the comprehensive 'update work order' action which allows updating multiple fields. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Maintainx MCP server is an implementation of the Model Context Protocol that connects your AI agent to Maintainx. It provides structured and secure access so your agent can perform Maintainx operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. 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 ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies **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 ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables 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 ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **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 ```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") ``` ### 5. Create a Composio Tool Router session for Maintainx **What's happening:** - You create a Maintainx only session through Composio - Composio returns an MCP HTTP URL that exposes Maintainx tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["maintainx"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **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. ```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, ) ``` ### 7. Create a CLI Chatloop and define the Crew **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. ```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") ``` ## Complete Code ```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 ## How to build Maintainx MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/maintainx/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/maintainx/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/maintainx/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/maintainx/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/maintainx/framework/codex) - [OpenClaw](https://composio.dev/toolkits/maintainx/framework/openclaw) - [Hermes](https://composio.dev/toolkits/maintainx/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/maintainx/framework/cli) - [Google ADK](https://composio.dev/toolkits/maintainx/framework/google-adk) - [LangChain](https://composio.dev/toolkits/maintainx/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/maintainx/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/maintainx/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/maintainx/framework/llama-index) ## Related Toolkits - [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations. - [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code. - [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications. - [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews. - [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes. - [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights. - [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way. - [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease. - [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration. - [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease. - [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease. - [Formdesk](https://composio.dev/toolkits/formdesk) - Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services. - [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows. - [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses. - [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale. - [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals. - [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps. - [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code. - [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams. - [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Maintainx MCP? 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. ### 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 Maintainx tools. ### Can I manage the permissions and scopes for Maintainx while using Tool Router? 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. ### 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 Maintainx data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)