OWL-MCP

Created By
ai4curationa year ago
MCP server for OWL applications
Overview

what is OWL-MCP?

OWL-MCP is a Model-Context-Protocol (MCP) server designed for working with Web Ontology Language (OWL) ontologies, facilitating the integration of AI applications with semantic web technologies.

how to use OWL-MCP?

To use OWL-MCP, install the Goose application, set up an LLM provider, and then install the OWL-MCP extension. You can create and manage ontologies through function calls that interact with OWL files on your disk.

key features of OWL-MCP?

  • MCP Server Integration for AI assistants with OWL ontologies
  • Thread-safe operations for multi-user environments
  • Automatic file synchronization for ontology changes
  • Event-based notifications for ontology updates
  • Simple string-based API for OWL axioms
  • Configuration system for managing ontology settings
  • Human-readable label support for entities

use cases of OWL-MCP?

  1. Integrating AI applications with OWL ontologies for enhanced semantic understanding.
  2. Collaborative ontology editing in multi-user environments.
  3. Real-time synchronization of ontology changes across different tools like Protege.

FAQ from OWL-MCP?

  • What is the purpose of OWL-MCP?

OWL-MCP serves as a bridge between AI applications and OWL ontologies, enabling efficient management and manipulation of semantic data.

  • Is OWL-MCP suitable for multi-user environments?

Yes! OWL-MCP is designed with thread-safe operations to support multiple users working simultaneously.

  • How does OWL-MCP handle ontology file synchronization?

OWL-MCP automatically detects changes to ontology files on disk and synchronizes them in real-time.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
ai4curation
Star
2
Language
Python
License
-
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