Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Connect AI assistants to IBM Maximo for API discovery, OSLC querying, and Carbon UI generation.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
MAXIMO_URL, MAXIMO_API_KEY, MAXIMO_HOSTValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"maximo": {
"command": "npx",
"args": [
"-y",
"maximo-mcp-server"
],
"env": {
"MAXIMO_URL": "your-value",
"MAXIMO_API_KEY": "your-value",
"MAXIMO_HOST": "your-value"
}
}
}
}Run this in your terminal
claude mcp add maximo --env MAXIMO_URL=your-value --env MAXIMO_API_KEY=your-value --env MAXIMO_HOST=your-value -- npx -y maximo-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"maximo": {
"command": "npx",
"args": [
"-y",
"maximo-mcp-server"
],
"env": {
"MAXIMO_URL": "your-value",
"MAXIMO_API_KEY": "your-value",
"MAXIMO_HOST": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"maximo": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"maximo-mcp-server"
],
"env": {
"MAXIMO_URL": "your-value",
"MAXIMO_API_KEY": "your-value",
"MAXIMO_HOST": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
MAXIMO_HOST envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account markusvankempen, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: MAXIMO_URL, MAXIMO_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Python MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
*Transform your Maximo development workflow with AI-driven schema discovery, live data querying, intelligent code generation, and full write-back capabilities.*
Author: Markus van Kempen Email: mvankempen@ca.ibm.com | markus.van.kempen@gmail.com Date: 16 September 2026
Getting Started • Documentation • Live Demo • Use Cases
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 |
| ✏️ Create Records | Create Work Orders, Assets, Service Requests via AI |
| 🔄 Update Records | Partially update any Maximo record by ID |
| ⚡ Run Actions | Trigger Maximo business workflows (status changes, approvals) |
| 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 |
| 🧩 Maximo API Explorer Guide | VS Code extension: install, connect, explore, generate apps |
| 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
npm install
cp .env.example .env
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:
https://[YOUR_MAXIMO_HOST]/maximo/oslc/oas/api *(Replace [YOUR_MAXIMO_HOST] with your actual server address)*maximo_openapi.json in your project root folder.Note: This file is ~12MB and contains all Object Structure definitions for your Maximo instance.
Option 1: Install from the MCP Server Gallery
chat.mcp.gallery.enabled in VS Code settings⇧⌘X)@mcp maximo in the search fieldOption 2: Add manually via `mcp.json`
⇧⌘P) → MCP: Open Workspace Folder Configuration{
"inputs": [ { "type": "promptString", "id": "maximo-url", "description": "Maximo REST API Base URL (e.g., https://your-host/maximo/api)" }, { "type": "promptString", "id": "maximo-api-key", "description": "Maximo API Key", "password": true }, { "type": "promptString", "id": "maximo-host", "description": "Maximo Host URL (e.g., https://your-host)" } ], "servers": { "maximo-mcp-server": { "type": "stdio", "command": "npx", "args": ["-y", "maximo-mcp-server"], "env": { "MAXIMO_URL": "${input:maximo-url}", "MAXIMO_API_KEY": "${input:maximo-api-key}", "MAXIMO_HOST": "${input:maximo-host}" } } } }
💡 Tip: This project includes a
.vscode/mcp.jsonfile. If you clone the repo, VS Code will auto-detect the MCP server configuration.
⚠️ 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
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 http://localhost:3002/demos/assets.html
The server exposes 9 tools to the AI — 6 read tools and 3 write/CRUD tools:
| 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 |
⚠️ Write tools modify live data. Use a read-only API key for exploration; only enable write access for known workflows.
| Tool Name | Description |
|---|---|
create_record | Create a new record in any Maximo Object Structure |
update_record | Partially update fields on an existing record by ID |
run_action | Execute Maximo business actions (status changes, approvals) |
"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.
"Create a corrective maintenance work order for the BEDFORD site, priority 1, description 'Pump failure inspection'."
The AI calls get_schema_details(MXWO) to confirm field names, then create_record:
POST /maximo/api/os/MXWO?lean=1
apikey: YOUR_KEY Content-Type: application/json
{ "description": "Pump failure inspection", "siteid": "BEDFORD", "worktype": "CM", "wopriority": 1 }
"Now approve work order 1025 with memo 'Reviewed and approved'."
POST /maximo/api/os/MXWO/1025?action=changeStatus&lean=1
apikey: YOUR_KEY Content-Type: application/json
{ "status": "APPR", "memo": "Reviewed and approved" }
See th
Only the beginning is shown; read the rest in the repo