OWL (Web Ontology Language)
OWL-MCP is a Model Context Protocol server for managing Web Ontology Language (OWL) ontologies, providing tools for adding, removing, and finding axioms in OWL files. Built with py-horned-owl for ontology manipulation, it features thread-safe operations, automatic file synchronization, and a configuration system for managing named ontologies with consistent settings. The server exposes standardized MCP tools that enable AI assistants to directly manipulate ontologies through string-based axiom representations in OWL functional syntax, making it particularly valuable for semantic web applications, knowledge graph management, and ontology development without requiring deep understanding of complex object models.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- file-system
- Source
- PulseMCP
- Repository
- github.com/ai4curation/owl-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve OWL (Web Ontology Language) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.