Skip to main content
Glama
markusvankempen

maximo-mcp-ai-integration

🏭 Maximo MCP Server

AI-Powered Development for IBM Maximo

Node.js MCP Maximo License Version

Transform your Maximo development workflow with AI-driven schema discovery, live data querying, and intelligent code generation.

Author: Markus van Kempen
Email: mvankempen@ca.ibm.com | markus.van.kempen@gmail.com
Date: 5 February 2026

Getting Started β€’ Documentation β€’ Live Demo β€’ Use Cases


🎯 What is This?

The Maximo MCP Server is a Model Context Protocol server that connects AI assistants (like Antigravity, Cursor, or VS Code Copilot) directly to your IBM Maximo environment. Instead of manually copying API documentation, the AI can:

Capability

Description

πŸ” Discover APIs

Find available Object Structures (MXWO, MXASSET, etc.)

πŸ“‹ Inspect Schemas

Get exact field names, types, and descriptions

πŸ“Š Query Live Data

Execute OSLC REST queries and see real results

🎨 Generate UI

Create Carbon Design System tables and dashboards

βœ… Validate Instantly

Test queries before generating final code


πŸ“š Documentation

Core Guides

Document

Description

πŸ“– Maximo MCP Server Guide

Complete setup, configuration, and tool reference

πŸ”Œ Maximo API Interaction Guide

OSLC query syntax, code generation patterns, troubleshooting

🎬 Asset Manager Case Study

Step-by-step walkthrough of building a complete app

French Translations

Document

Description

πŸ“– Guide du Serveur MCP Maximo

Version franΓ§aise du guide complet

πŸ”Œ Guide d'Interaction API Maximo

Version franΓ§aise du guide API

Word Documents

All guides are also available in .docx format in the docs/ folder for offline reading and sharing.


⚑ Quick Start

Prerequisites

  • Node.js v18 or higher

  • Maximo API Key with read access

  • AI IDE with MCP support (Antigravity, Cursor, VS Code + Continue)

Installation

Installation

Method 1: Run directly with npx (Recommended)

npx maximo-mcp-server

Method 2: Clone from Source

# Clone the repository git clone https://github.com/markusvankempen/maximo-mcp-ai-integration-options.git cd maximo-mcp-ai-integration-options # Install dependencies npm install # Set up environment variables cp .env.example .env # Edit .env with your Maximo credentials

Environment Configuration

Edit the .env file with your Maximo credentials:

# .env (never commit this file!) MAXIMO_URL=https://your-maximo-host.com/maximo/api MAXIMO_HOST=https://your-maximo-host.com MAXIMO_API_KEY=your-api-key-here MAXIMO_OPENAPI_PATH=./maximo_openapi.json PORT=3002

The OpenAPI schema file enables offline schema lookups for faster AI responses:

# Download from your Maximo instance curl -X GET "https://your-maximo-host.com/maximo/oslc/oas/api" \ -H "apikey:your-api-key-here" \ -o maximo_openapi.json

Alternatively, download via Swagger UI at: https://your-host/maximo/oslc/oas/api.html (Click "Explore" or "Download")

Method 3: Direct Browser Download (Manual)

If curl fails (e.g., due to SSL/network errors), you can manually download the file:

  1. Open this URL in your browser: https://[YOUR_MAXIMO_HOST]/maximo/oslc/oas/api (Replace

  2. You may be prompted to log in to Maximo.

  3. Once the JSON loads, right-click the page and select "Save Page As...".

  4. Save the file as maximo_openapi.json in your project root folder.

Note: This file is ~12MB and contains all Object Structure definitions for your Maximo instance.

IDE Configuration

Google Antigravity (Manual Setup Required)

⚠️ Note: The Antigravity MCP Store is curated and does not auto-discover servers from the registry. You must add this server manually.

  1. Open Antigravity

  2. Click "..." dropdown at the top of the Agent panel

  3. Select "MCP Servers" β†’ "Manage MCP Servers" β†’ "View raw config"

  4. Add to your mcp_config.json:

{ "mcpServers": { "maximo-mcp-server": { "command": "npx", "args": ["-y", "maximo-mcp-server"], "env": { "MAXIMO_URL": "https://your-maximo-host/maximo/api", "MAXIMO_API_KEY": "your-api-key-here", "MAXIMO_HOST": "https://your-maximo-host" } } } }
  1. Save and click Refresh

Cursor / Claude Desktop

# Copy the template cp config/mcp_config.json.example ~/.cursor/mcp.json # Or for Claude Desktop: cp config/mcp_config.json.example ~/Library/Application\ Support/Claude/claude_desktop_config.json

Edit with your Maximo credentials:

{ "mcpServers": { "maximo-mcp-server": { "command": "npx", "args": ["-y", "maximo-mcp-server"], "env": { "MAXIMO_URL": "https://your-maximo-host/maximo/api", "MAXIMO_API_KEY": "your-api-key-here" } } } }

Verify Connection

In your AI IDE, ask:

"Is the Maximo MCP server connected?"

The AI will call get_instance_details and confirm connectivity.


🎬 Live Demo

Asset Manager Application

We built a complete Maximo Asset Manager web application using only natural language prompts and the MCP server.

Asset Manager Dashboard

50 assets loaded with real-time filtering and search

Demo Features

Feature

Screenshot

Full Dashboard

50 assets, 4 stat cards, 3 sites

Search Filter

Pump Search

Site Filter

LAREDO Filter

πŸŽ₯ Screen Recording

A complete video demonstration is available: assets_demo_recording.webp

Try It Yourself

# Start the local proxy server node server.js # Open in browser open http://localhost:3002/demos/assets.html

πŸ›  Available MCP Tools

The server exposes 6 tools to the AI:

MCP Tools UI

Tool Name

Description

list_object_structures

List available Maximo Object Structures (APIs)

get_schema_details

Get field definitions for an Object Structure

query_maximo

Execute OSLC REST queries

render_carbon_table

Generate Carbon Design HTML tables

render_carbon_details

Generate detail view for a record

get_instance_details

Check server connectivity


πŸ’‘ Use Cases

1. Generate API Calls

"Get me the last 10 approved work orders from BEDFORD site"

The AI calls get_schema_details(MXWO), understands the fields, and generates:

GET /maximo/api/os/mxwo ?oslc.where=status="APPR" and siteid="BEDFORD" &oslc.select=wonum,description,status,reportdate &oslc.orderBy=-reportdate &oslc.pageSize=10 &lean=1

2. Generate Python Scripts

"Write a Python script to export all Priority 1 work orders to CSV"

import requests import csv response = requests.get( "https://your-host/maximo/api/os/mxwo", params={"oslc.where": "wopriority=1", "lean": 1}, headers={"apikey": "YOUR_KEY"} ) with open("priority1_workorders.csv", "w") as f: writer = csv.DictWriter(f, fieldnames=["wonum", "description"]) writer.writeheader() writer.writerows(response.json()["member"])

3. Generate SQL Queries

"Write SQL to find overdue work orders"

SELECT wonum, description, status, targcompdate FROM workorder WHERE status NOT IN ('COMP', 'CLOSE', 'CAN') AND targcompdate < CURRENT_DATE;

4. Build Complete Applications

"Create an HTML dashboard to display assets"

Result: A complete web application with:

  • Dark theme with glassmorphism

  • Search and filter functionality

  • Interactive detail panels

  • Pre-loaded data from Maximo

See the Asset Manager Case Study for the full walkthrough.


πŸ“ Project Structure

Maximo-MCP/ β”œβ”€β”€ maximo-mcp-server.js # πŸ”Œ MCP Server implementation β”œβ”€β”€ server.js # 🌐 Local proxy server for CORS β”œβ”€β”€ package.json # πŸ“¦ Dependencies β”œβ”€β”€ README.md # This file β”œβ”€β”€ .env.example # Environment template β”œβ”€β”€ .gitignore # Git ignore rules β”‚ β”œβ”€β”€ docs/ # πŸ“š Documentation β”‚ β”œβ”€β”€ Maximo_MCP_Server_Guide.md # Complete MCP guide β”‚ β”œβ”€β”€ Maximo_API_Interaction_Guide.md # API interaction patterns β”‚ β”œβ”€β”€ Asset_Manager_App_Case_Study.md # Build walkthrough β”‚ β”œβ”€β”€ Maximo_MCP_Server_Guide_FR.md # French translation β”‚ └── Maximo_API_Interaction_Guide_FR.md # French translation β”‚ β”œβ”€β”€ demos/ # 🎨 Demo Applications β”‚ β”œβ”€β”€ assets.html # Asset Manager app β”‚ β”œβ”€β”€ carbon_workorders.html # Carbon table demo β”‚ └── index.html # API visualization demo β”‚ β”œβ”€β”€ images/ # πŸ“Έ Screenshots & Recordings β”‚ β”œβ”€β”€ assets_demo_recording.webp # Full demo recording β”‚ β”œβ”€β”€ assets_loaded.png # Dashboard screenshot β”‚ β”œβ”€β”€ pump_search_results.png # Search demo β”‚ └── laredo_filtered.png # Filter demo β”‚ └── config/ # βš™οΈ Configuration Templates └── mcp_config.json.example # MCP config template

πŸ”’ Security Best Practices

Practice

Description

πŸ” Local Execution

MCP server runs on your machine; API keys never leave your environment

πŸ“– Read-Only Keys

Use limited-permission API keys for development

πŸ”’ Environment Variables

Never hardcode credentials in config files

🌐 HTTPS Only

Always use encrypted connections to Maximo


🀝 Contributing

Contributions are welcome! Please read our contributing guidelines before submitting PRs.

  1. Fork the repository

  2. Create a feature branch (git checkout -b feature/amazing-feature)

  3. Commit your changes (git commit -m 'Add amazing feature')

  4. Push to the branch (git push origin feature/amazing-feature)

  5. Open a Pull Request


πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.


πŸ™ Acknowledgments

-
security - not tested
A
license - permissive license
-
quality - not tested

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/markusvankempen/maximo-mcp-ai-integration'

If you have feedback or need assistance with the MCP directory API, please join our Discord server