让AI用自然语言操作科学知识图谱，打通跨领域科研数据壁垒
mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
- 基于自然语言的模型上下文协议，实现对知识图谱的智能访问
- 支持多图查询、模式探测、SPARQL执行与对话记录生成
- 适合生物医学等领域的科研人员快速分析开放科学数据
MCP Server Proto-OKN 是一个基于 Python 的模型上下文协议服务器，使人工智能助手能够通过自然语言发现、检查、查询和集成科学知识图谱。该服务器提供图谱路由、模式检测、SPARQL 执行、本体扩展、多图查询及对话记录生成功能，显著降低了生物医学与科学用户进行跨领域知识图谱分析的门槛。系统基于 FastMCP 框架实现，代码开源于 https://github.com/sbl-sdsc/mcp-proto-okn，项目仓库提供完整文档、客户端配置说明及示例分析对话。
原文摘要 · Abstract (English)
MCP Server Proto-OKN (mcp-proto-okn) is a Python-based Model Context Protocol server that enables AI assistants to discover, inspect, query and integrate scientific knowledge graphs through natural language. The server provides graph routing, schema inspection, SPARQL execution, ontology expansion, multi-graph querying, and transcript generation, lowering the barrier to cross-domain knowledge graph analysis for biomedical and scientific users. mcp-proto-okn is implemented in Python using the FastMCP framework and is available at https://github.com/sbl-sdsc/mcp-proto-okn. Documentation, client configuration instructions, and example analysis transcripts are provided in the GitHub repository.
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