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ontomcp-driver
@mareasw⭐ 22 stars
Use OntoSkills MCP tools to discover and apply structured skill knowledge.
—/10
// RATINGS
// README
What is OntoSkills?
OntoSkills transforms natural language skill definitions into validated OWL 2 ontologies — queryable knowledge graphs that enable deterministic reasoning for AI agents.
The problem: LLMs read skills probabilistically. Same query, different results. Long skill files burn tokens and confuse smaller models.
The solution: Compile skills to ontologies. Query with SPARQL. Get exact answers, every time.
flowchart LR
CORE["OntoCore<br/>━━━━━━━━━━<br/>SKILL.md → .ttl<br/>LLM + SHACL"] -->|"compiles"| CENTER["OntoSkills<br/>━━━━━━━━━━<br/>OWL 2 Ontologies<br/>.ttl artifacts"]
CENTER -->|"loads"| MCP["OntoMCP<br/>━━━━━━━━━━<br/>Rust SPARQL<br/>in-memory graph"]
MCP <-->|"queries"| AGENT["AI Agent<br/>━━━━━━━━━━<br/>Deterministic<br/>reasoning"]
style CORE fill:#e91e63,stroke:#2a2a3e,color:#f0f0f5
style CENTER fill:#abf9cc,stroke:#2a2a3e,color:#0d0d14
style MCP fill:#92eff4,stroke:#2a2a3e,color:#0d0d14
style AGENT fill:#6dc9ee,stroke:#2a2a3e,color:#0d0d14
Why OntoSkills?
| Problem | Solution |
|---|---|
| LLMs interpret text differently each time | SPARQL returns exact answers |
| 50+ skill files = context overflow | Query only what's needed |
| No verifiable structure for relationships | OWL 2 formal semantics |
| Small models can't read complex skills | Democratized intelligence via graph queries |
For 100 skills: ~500KB text scan → ~1KB query
Quick Start
# Install the MCP runtime and bootstrap your client
npx ontoskills install mcp --claude
# Or install the Python compiler separately
pip install ontocore
ontocore compile
Components
| Component | Language | Description |
|---|---|---|
| OntoCore | Python | Neuro-symbolic compiler: SKILL.md → OWL 2 ontology |
| OntoMCP | Rust | MCP server with sub-ms SPARQL queries |
| OntoStore | GitHub | Versioned skill registry |
| CLI | Node.js | One-command installer (npx ontoskills) |
Documentation
- Overview — What is OntoSkills and why it matters
- Getting Started — Installation and first steps
- Architecture — How the system works
- Knowledge Extraction — Extracting value from skills
- OntoStore — Browse and install skills
- Roadmap — Development phases
License
MIT License — see LICENSE for details.
© 2026 MareaSW
// HOW IT'S BUILT
KEY FILES
site/public/agent-skills/ontomcp-driver/SKILL.mdREADME.md
// REPO STATS
22 stars