OWL (Web Ontology Language)
Enables AI systems to manipulate Web Ontology Language (OWL) ontologies by adding, removing, and finding axioms through string-bas
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.
Source
Repository: https://github.com/ai4curation/owl-mcp
Maintain OWL (Web Ontology Language)?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[OWL (Web Ontology Language) on getagentictools](https://getagentictools.com/mcp/ai4curation-owl-mcp?ref=badge) Related mcp
Think Tool Go-based server that provides LLMs with tools to record, retrieve, and analyze their reasoning processes during complex problem-so
VibeCoderMCP Guides LLMs through structured software development workflows with feature clarification, PRD generation, and phase-based tracking
Marmo UI Live React design-system APIs, patterns, and code validation for accurate UI generation.
Sketch Processes Sketch design files by extracting internal structure, analyzing design elements, and rendering visual components as SVG
n8n Workflow Builder Enables creation and management of n8n workflows through a TypeScript-based server that provides tools for designing, validating,
Nuanced Provides code analysis capabilities using the nuanced library, offering tools for initializing code graphs, exploring function cal