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open-ontologies

Skill Development Usable

AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL tableaux reasoner, SHACL validation, SPARQL, versioning. Single binary, no JVM.

116 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Eliminates JVM overhead and deployment friction for teams needing semantic reasoning at scale. Native OWL2-DL reasoning with SHACL validation reduces data quality incidents and enables knowledge graph automation without external services.

Data engineering teams building knowledge graphs or semantic data pipelines requiring fast, validated ontology reasoning.

Claude Code Claude Cowork Claude Chat

https://github.com/fabio-rovai/open-ontologies

By fabio-rovai

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install fabio-rovai/open-ontologies

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars116Last updated2026-05-12LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-21 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

21 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 116 GitHub stars; contributors unknown; last commit 9d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 116 GitHub stars; contributors unknown; last commit 9d ago; license MIT.

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