How do I install predictive-maintenance-mcp?

Its own README gives this command: pip install predictive-maintenance-mcp. Run it where your MCP client can launch the server, and check the README for any settings it asks for.

Which AI clients can use predictive-maintenance-mcp?

Its own description mentions Claude Code. That is a mention in its description, not a test we ran.

Is predictive-maintenance-mcp official and is it maintained?

We found nothing naming it as a vendor’s official server. Its repository has 106 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-22.

What licence does predictive-maintenance-mcp use?

The repository declares the NOASSERTION licence.

InfratoApp / Resources / MCP servers / predictive-maintenance-mcp

predictive-maintenance-mcp

predictive-maintenance-mcp is an MCP server. Its repository has 106 GitHub stars and is licensed under NOASSERTION; we last read it on 2026-10-22.

Provides AI-driven vibration analysis for predictive maintenance and machinery fault diagnosis, including FFT, envelope, and bearing fault detection, with ISO 20816-3 severity assessment. Raw signals remain local, and a Claude Code plugin is included.

Install

Read from predictive-maintenance-mcp’s own README, close to verbatim -- not written by us, and not guessed.

pip install predictive-maintenance-mcp

View in predictive-maintenance-mcp’s own README ↗

What it reaches, and what it needs

Reaches

○ not recognised

Credential

○ none found

What it connects to

Supported in

Claude Code

Unverified means a mention in the server’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.

Maintenance

Stars

106

State

listed

Licence

NOASSERTION

From the repository

An open-source MCP server that turns LLMs into condition monitoring assistants for reliability engineers. It gives your AI assistant evidence-based vibration diagnostics: machine fault detection, severity assessment and diagnostic reports, for faster predictive maintenance decisions. Also available as a Claude Code plugin.

View on GitHub ↗2026-10-22

What predictive-maintenance-mcp can do

4 tools documented in its README. An AI client calls these by name.

declare_measurement_point: No description in the README.
declare_healthy_baseline: No description in the README.
get_asset_history: No description in the README.
assess_asset_change: No description in the README.

Read from the README; names are kept only if the README contains them.

Common questions about predictive-maintenance-mcp

What does predictive-maintenance-mcp do?: Provides AI-driven vibration analysis for predictive maintenance and machinery fault diagnosis, including FFT, envelope, and bearing fault detection, with ISO 20816-3 severity assessment. Raw signals remain local, and a Claude Code plugin is included.
How do I install predictive-maintenance-mcp?: Its own README gives this command: pip install predictive-maintenance-mcp. Run it where your MCP client can launch the server, and check the README for any settings it asks for.
Which AI clients can use predictive-maintenance-mcp?: Its own description mentions Claude Code. That is a mention in its description, not a test we ran.
Is predictive-maintenance-mcp official and is it maintained?: We found nothing naming it as a vendor’s official server. Its repository has 106 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-22.
What licence does predictive-maintenance-mcp use?: The repository declares the NOASSERTION licence.