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
- 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?
- Integrating AI applications with OWL ontologies for enhanced semantic understanding.
- Collaborative ontology editing in multi-user environments.
- 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 to handle thread-safe operations, making it ideal for collaborative work.
- How does OWL-MCP handle ontology file synchronization?
OWL-MCP automatically detects changes to ontology files on disk and synchronizes them in real-time.
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