Proto-OKN is an MCP (Model Context Protocol) server designed to query SPARQL endpoints. It offers specialized support for Proto-OKN knowledge graphs, particularly those hosted on the FRINK platform.

How does Proto-OKN integrate with my development environment?

Proto-OKN integrates directly with VS Code Insiders via the GitHub Copilot Chat interface, allowing users to query knowledge graphs using natural language prompts.

Which knowledge graphs are supported by Proto-OKN?

It provides optimized support for Proto-OKN ecosystem KGs such as SPOKE, BioBricks ICE, DREAM-KG, and SAWGraph, along with flexible configuration for any custom SPARQL endpoint.

What are the main prerequisites for using Proto-OKN?

To use Proto-OKN, you need VS Code Insiders, an active GitHub Copilot subscription, and the `uv` Python package manager installed for setup.

Proto-OKN

Name: Proto-OKN
Author: sbl-sdsc

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Provides Model Context Protocol (MCP) server capabilities to query SPARQL endpoints, with specialized support for Proto-OKN knowledge graphs hosted on the FRINK platform.

The Proto-OKN tool serves as a Model Context Protocol (MCP) server, designed to empower AI agents like GitHub Copilot with the ability to query diverse knowledge graphs. It specializes in integrating with the Proto-OKN (Prototype Open Knowledge Network) ecosystem, including knowledge graphs such as SPOKE, BioBricks ICE, and DREAM-KG, particularly those hosted on the FRINK platform. This server simplifies the process of interacting with complex knowledge bases, offering features like automatic detection and documentation linking for FRINK-hosted graphs, flexible configuration for custom SPARQL endpoints, and optimized support for the Proto-OKN structure, enabling sophisticated data exploration through conversational interfaces.

主要功能

01Automatic registry links for supported knowledge graphs

02Optimized support for Proto-OKN knowledge graphs (e.g., SPOKE, BioBricks, DREAM-KG, SAWGraph)

03FRINK Integration with automatic detection and documentation linking

04Flexible configuration for both FRINK and custom SPARQL endpoints

050 GitHub stars

使用案例

01Executing complex queries that combine multiple entity types to find specific information.

02Exploring the structure and entity types available within specific knowledge graphs.

03Performing cross-knowledge graph queries to gather data across various Proto-OKN sources.