AI 中文总结
介绍EPS Research Astro-RAG MCP Server v2.3.0，可跨平台统一访问五个天体物理语料库。核心方法是用FAISS加速自然语言相似性搜索，贡献是提供多接口，实现多种功能且可公开部署、完全可重现。
AI 中文摘要
我们展示了EPS Research Astro-RAG MCP Server v2.3.0，这是一个跨平台的模型上下文协议（MCP）实现，提供对五个天体物理语料库的统一的、机器可读的访问，涵盖了从本地宇宙（z = 0）到z = 5.68（ALPINE调查的高红移前沿）。该服务器公开了一个人类可读的浏览器查询接口、一个REST API和一个LLM原生MCP端点，能够对2064个对象进行确定性检索、元数据过滤和结构化分析：包括HI旋转曲线调查中的星系、矮星系和不规则系统、高红移运动学目标以及银河系球状星团。2.3.0版本引入了使用预构建的384维MiniLM-L6-v2向量索引的FAISS加速自然语言相似性搜索，无需微调或API密钥即可进行语料库范围的语义查询。我们描述了服务器架构、统一模式设计、FAISS索引构建管道、MCP工具集以及跨时代用例，包括旋转曲线检索、元数据过滤和语义相似性探索。该服务器在HuggingFace Spaces（此https URL）上公开部署，根据MIT许可发布，并且可以从Zenodo（DOI：https://doi.org/10.5281/zenodo.21154451）完全重现。完整平台可在此https URL获得。
英文摘要
We present the EPS Research Astro-RAG MCP Server v2.3.0, a cross-platform Model Context Protocol (MCP) implementation providing unified, machine-readable access to five astrophysical corpora spanning the local universe (z = 0) to z = 5.68 (the high-redshift frontier of the ALPINE survey). The server exposes a humanreadable browser query interface, a REST API, and an LLM-native MCP endpoint, enabling deterministic retrieval, metadata filtering, and structured analysis across 2,064 objects: galaxies spanning HI rotation curve surveys, dwarf and irregular systems, and high-redshift kinematic targets, together with Milky Way globular clusters. Version 2.3.0 introduces FAISS-accelerated natural-language similarity search using pre-built 384-dimensional MiniLM-L6-v2 vector indexes, enabling corpus-wide semantic queries without fine-tuning or API keys. We describe the server architecture, unified schema design, FAISS index construction pipeline, MCP toolset, and cross-epoch use cases including rotation-curve retrieval, metadata filtering, and semantic similarity exploration. The server is publicly deployed on HuggingFace Spaces (https://dflynn5656-astro-rag-mcp.hf.space), released under the MIT License, and fully reproducible from Zenodo (DOI: 10.5281/zenodo.21154451). The full platform is available at https://github.com/eps-research/rag-corpus-series.
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