liftkkkk/owl-mcp

Overview

MCP server for OWL/TTL/RDF ontologies. Enables SPARQL queries, reasoning, and CRUD operations through Claude, Cursor, or Windsurf. Written in Python.

Best for

Best for
Developers integrating ontology management into AI-assisted coding workflows.

Use cases

• Query ontologies with SPARQL from an AI assistant
• Edit or create OWL/TTL/RDF ontology resources
• Run reasoning tasks on ontology data within a coding IDE

How to use

Install

pip install mcp owlready2 rdflib

Tools exposed

• load_ontology
• get_ontology_info
• list_classes
• list_individuals
• list_properties
• describe_class
• describe_individual
• search_entity
• sparql_query
• add_class
• add_individual
• add_object_property_assertion
• save_ontology
• run_reasoner

Tested with

Claude Desktop, Cursor

Notes

MCP server for OWL/TTL/RDF ontologies. Enables SPARQL queries, reasoning, and CRUD operations through Claude, Cursor, or Windsurf. Written in Python.

3 stars on GitHub. Last updated 2026-07-11. Licensed MIT.

Use cases

• Query ontologies with SPARQL from an AI assistant
• Edit or create OWL/TTL/RDF ontology resources
• Run reasoning tasks on ontology data within a coding IDE

Pros

• Supports standard semantic web formats (OWL, TTL, RDF)
• Works with popular AI coding tools (Claude, Cursor, Windsurf)
• Provides CRUD and reasoning capabilities via MCP

Cons

• Low adoption (3 stars) suggests limited community support
• Requires Python environment and MCP client configuration
• May lack production hardening or extensive documentation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.