Last updated
March 17, 2026
MCP profile
Predictive Maintenance MCP Server
Industrial predictive maintenance: vibration analysis, bearing faults, ISO 20816-3
AI & Machine LearningPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
This project is built around the Model Context Protocol (MCP) — an open standard that lets you package any software tool and make it instantly queryable by an LLM. Think of it as a USB port for AI: plug in a tool, and the LLM immediately knows how to use it.
The system follows a hybrid MCP architecture combining Resources (direct data access) and Tools (computational processing):
Detailed Structure
Capabilities
✅ Universal — Works with any LLM (ClaudeChatGPTlocal models) ✅ Zero tokens — Files saved locallynot in chat ✅ Interactive — Panzoomhover for details ✅ Professional — Publication-ready visualizations ✅ Persistent — Save for documentation and sharing
Why Use Predictive Maintenance MCP Server?
- ✅ Universal — Works with any LLM (Claude
- ChatGPT
- local models) ✅ Zero tokens — Files saved locally
- not in chat ✅ Interactive — Pan
- zoom
- hover for details ✅ Professional — Publication-ready visualizations ✅ Persistent — Save for documentation and sharing
Specifications
Status
live
Industry
AI & Machine Learning
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install -e ".[dev]"2
Configure
Configuration
json
{
"mcpServers": {
"predictive-maintenance": {
"command": "predictive-maintenance-mcp"
}
}
}Performance
Usage
Quick Reference
- Name
- Predictive Maintenance MCP Server
- Function
- Industrial predictive maintenance: vibration analysis, bearing faults, ISO 20816-3
- Transport
- Package
- Language
- Python
- Install
- pip install -e ".[dev]"
- Source
- External (Registry)
- License
- Open Source
Get started
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