by LGDiMaggio · MCP 服务器 · ★ 37
Predictive Maintenance MCP Server Give any AI assistant the ability to analyze vibration data, detect machinery faults, and generate professional diagnostic reports — through natural conversation. An open-source MCP server and predictive maintenance AI agent that turns LLMs into condition monitoring assistants. Engineers describe what they need in plain language; the AI calls the right analysis tools and delivers results — bearing fault detection, risk assessment, anomaly detection, and remaining useful life estimation. Also available as a Claude Code plugin with 7 diagnostic skills.
| Stars | 37 |
| Forks | 9 |
| Language | Python |
| Category | MCP 服务器 |
| Quality Score | 36.65/100 |
| Last Updated | 2026-05-15 |
| Created | 2025-11-11 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~5346k |
Explore other popular mcp 服务器 tools:
predictive-maintenance-mcp is AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workf. It is categorized as a MCP 服务器 with 37 GitHub stars.
predictive-maintenance-mcp is primarily written in Python. It covers topics such as anomaly-detection, asset-management, bearing-fault-diagnosis.
You can find installation instructions and usage details in the predictive-maintenance-mcp GitHub repository at github.com/LGDiMaggio/predictive-maintenance-mcp. The project has 37 stars and 9 forks, indicating an active community.