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he Maximo MCP Server bridges AI agents (Claude, Cursor, Antigravity) with your IBM Maximo environment. It empowers your AI to autonomously discover Object Struc
he Maximo MCP Server bridges AI agents (Claude, Cursor, Antigravity) with your IBM Maximo environment. It empowers your AI to autonomously discover Object Structures (APIs), inspect schemas, and query live data via OSLC. Instead of hallucinating field names, the AI validates queries instantly and ca
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: [email protected] | [email protected]
Date: 5 February 2026
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 |
|---|---|
| 🔍 Discover APIs | Find available Object Structures (MXWO, MXASSET, etc.) |
| 📋 Inspect Schemas | Get exact field names, types, and descriptions |
| 📊 Query Live Data | Execute OSLC REST queries and see real results |
| 🎨 Generate UI | Create Carbon Design System tables and dashboards |
| ✅ Validate Instantly | Test queries before generating final code |
| Document | Description |
|---|---|
| 📖 Maximo MCP Server Guide | Complete setup, configuration, and tool reference |
| 🔌 Maximo API Interaction Guide | OSLC query syntax, code generation patterns, troubleshooting |
| 🎬 Asset Manager Case Study | Step-by-step walkthrough of building a complete app |
| Document | Description |
|---|---|
| 📖 Guide du Serveur MCP Maximo | Version française du guide complet |
| 🔌 Guide d'Interaction API Maximo | Version française du guide API |
All guides are also available in .docx format in the docs/ folder for offline reading and sharing.
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
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:
Open this URL in your browser:
https://[YOUR_MAXIMO_HOST]/maximo/oslc/oas/api
(Replace [YOUR_MAXIMO_HOST] with your actual server address)
You may be prompted to log in to Maximo.
Once the JSON loads, right-click the page and select "Save Page As...".
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.
⚠️ Note: The Antigravity MCP Store is curated and does not auto-discover servers from the registry. You must add this server manually.
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"
}
}
}
}
# 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"
}
}
}
}
In your AI IDE, ask:
"Is the Maximo MCP server connected?"
The AI will call get_instance_details and confirm connectivity.
We built a complete Maximo Asset Manager web application using only natural language prompts and the MCP server.

50 assets loaded with real-time filtering and search
| Feature | Screenshot |
|---|---|
| Full Dashboard | 50 assets, 4 stat cards, 3 sites |
| Search Filter | ![]() |
| Site Filter | ![]() |
A complete video demonstration is available: assets_demo_recording.webp
# Start the local proxy server
node server.js
# Open in browser
open http://localhost:3002/demos/assets.html
The server exposes 6 tools to the AI:

| 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 |
"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
"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"])
"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;
"Create an HTML dashboard to display assets"
Result: A complete web application with:
See the Asset Manager Case Study for the full walkthrough.
Maximo-MCP/
├── maximo-mcp-server.js # 🔌 MCP Server implementation
├── server.js # 🌐 Local proxy server for CORS
├── package.json # 📦 Dependencies
├── README.md # This file
├── .env.example # Environment template
├── .gitignore # Git ignore rules
│
├── docs/ # 📚 Documentation
│ ├── Maximo_MCP_Server_Guide.md # Complete MCP guide
│ ├── Maximo_API_Interaction_Guide.md # API interaction patterns
│ ├── Asset_Manager_App_Case_Study.md # Build walkthrough
│ ├── Maximo_MCP_Server_Guide_FR.md # French translation
│ └── Maximo_API_Interaction_Guide_FR.md # French translation
│
├── demos/ # 🎨 Demo Applications
│ ├── assets.html # Asset Manager app
│ ├── carbon_workorders.html # Carbon table demo
│ └── index.html # API visualization demo
│
├── images/ # 📸 Screenshots & Recordings
│ ├── assets_demo_recording.webp # Full demo recording
│ ├── assets_loaded.png # Dashboard screenshot
│ ├── pump_search_results.png # Search demo
│ └── laredo_filtered.png # Filter demo
│
└── config/ # ⚙️ Configuration Templates
└── mcp_config.json.example # MCP config template
| Practice | Description |
|---|---|
| 🔐 Local Execution | MCP server runs on your machine; API keys never leave your environment |
| 📖 Read-Only Keys | Use limited-permission API keys for development |
| 🔒 Environment Variables | Never hardcode credentials in config files |
| 🌐 HTTPS Only | Always use encrypted connections to Maximo |
Contributions are welcome! Please read our contributing guidelines before submitting PRs.
git checkout -b feature/amazing-feature)git commit -m 'Add amazing feature')git push origin feature/amazing-feature)This project is licensed under the MIT License - see the LICENSE file for details.
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"maximo-mcp-ai-integration": {
"command": "npx",
"args": []
}
}
}