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Lets AI agents query, explore, and manage ontologies for structured knowledge work.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "oak-mcp" yet — see the docs or source repo.
Use oak-mcp to query a medical ontology for the parent concepts, child concepts, and related properties of 'diabetes', then organize them into a list.
A structured summary of hierarchy relationships and properties for easier knowledge analysis.
Use oak-mcp to find the definition, synonyms, identifier, and provenance information for the term 'gene product' in a target ontology.
The tool returns the term’s canonical definition and metadata for consistency checking.
Use oak-mcp to browse a domain ontology’s class structure, identify potentially duplicate or undocumented entries, and generate review suggestions.
An overview of the ontology structure plus a list of entries needing revision and improvement suggestions.
Build, manage, and explore OWL 2 ontologies with AI-assisted analysis.
Search, explore, and use ontologies and semantic resources in AgroPortal.
Encode business policies as executable rules for deterministic multi-agent decisions.
Connect to Onto via MCP to manage realms, templates, entities, diagrams, and relations.
Generate, search, and reason over knowledge graphs from data sources without API keys.
Query, edit, and reason over ontology files using natural language.