OWL-MCP is a server that connects AI assistants to Web Ontology Language (OWL) ontologies using the Model-Context-Protocol (MCP).

How does OWL-MCP work?

It provides function calls for finding, adding, or removing OWL axioms using OWL functional syntax, and keeps an in-memory instance of the ontology synced with the disk.

What are the key features of OWL-MCP?

Key features include MCP Server integration, thread-safe operations, file synchronization, a simple string-based API, and label support.

What AI hosts can be used with OWL-MCP?

While the Quick Start guide uses Goose, any AI host that supports the Model-Context-Protocol (MCP) can be used with OWL-MCP.

What format is used for OWL axioms?

OWL-MCP accepts any format supported by py-horned-owl, but the functional syntax is recommended for the source.

OWL: Connect AI to OWL Ontologies with MCP

OWL-MCP is an MCP server designed for seamless interaction between AI applications and Web Ontology Language (OWL) ontologies. It provides function calls for finding, adding, or removing OWL axioms, using OWL functional syntax, synchronized with on-disk storage. It simplifies the process of managing and updating ontologies by keeping an in-memory instance and syncing it with disk, facilitating real-time updates across different applications such as Protege. The server is particularly well-suited for OBO-style ontologies, ensuring that labels for opaque IDs are included for improved readability.

主要功能

01MCP Server Integration: Connect AI assistants directly to OWL ontologies using the standardized Model-Context-Protocol

02Thread-safe operations: All ontology operations are thread-safe, making it suitable for multi-user environments

03File synchronization: Changes to the ontology file on disk are automatically detected and synchronized

04Simple string-based API: Work with OWL axioms as strings in functional syntax without dealing with complex object models

05Label support: Access human-readable labels for entities with configurable annotation properties

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