MedXpert 图书馆连接器(通用版) MCP server
Local RAG MCP server for your own .md knowledge base: BM25 + local Ollama, offline, zero egress.
1 stars
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MedXpert 图书馆连接器(通用版) tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualityno auth information5/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityregistry namespace matches repository owner6/10
How MedXpert 图书馆连接器(通用版) compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 65/100
- higher than 25% of 4,460 AI and agents servers
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
Install MedXpert 图书馆连接器(通用版) in Claude Code, Cursor or VS Code
The registry entry has no remote endpoint or installable package.
What the publisher says
From the MedXpert 图书馆连接器(通用版) repository's README, as published. We do not edit it. Read it on GitHub
MedXpert 图书馆(通用版)连接器
把你自己的 wiki(.md 文档)做成可语义检索、可 RAG 问答的本地知识库 MCP 连接器。
- 纯 Python 标准库实现(stdio JSON-RPC 2.0),零第三方依赖
- 仅依赖本地 Ollama 做嵌入/生成,零积分、断网可用
- 知识库为你自有文档,连接器不绑定任何预置私有数据
- 全部计算在本机完成,不访问任何外部网络,不上传任何数据
工具
快速开始
# 1. 安装并启动 Ollama,拉取模型
ollama pull bge-m3 # 检索必备(嵌入)
ollama pull qwen2.5:7b # 问答可选(生成)
# 2. 用你自己的文档替换 wiki/(本包自带 3 个示例页)
# 把 .md 放进 wiki/ 即可,可建子目录分类
# 3. 构建向量索引
python rag_engine.py build
# 4. 启动 MCP server(stdio)
python medxpert_library_server.py接入 WorkBuddy
包内 mcp.json 已提供标准配置;在开放平台或客户端中引用本包目录即可。 也可用环境变量覆盖默认行为:
包结构
medxpert-library-connector/
├── medxpert_library_server.py # MCP server(stdio,纯标准库)
├── rag_engine.py # 嵌入 / 余弦 / 构建 / 检索引擎
├── wiki/ # 示例知识库(替换成你自己的 .md)
├── connector-meta.json # 开放平台元数据
├── mcp.json # MCP 启动配置
├── icon.svg # 头像
├── LICENSE # MIT
├── requirements.txt # 依赖说明(仅 Ollama)
└── README.md合规与隐私
- 不内嵌受版权保护的标准正文,仅索引标准号与公开要点。
- 所有内容在本机处理,文档与查询均不上传外部服务。
- 知识库为使用者自有内容,发布者不对其内容负责。
Copyright (c) 2026 注册老炮 (Reg Lao Pao) — MIT License
权利与归属(Rights & Attribution)
MIT License © 注册老炮@MedXpert(代码)。
© 2026 赵兴华 / Steven Zhao·China (ORCID 0009-0001-0512-1237). All rights reserved. 名称状态 (name status) : "SynomosAI" / "MedXpert" — 未申请实体注册、未申请商标注册 (not a registered legal entity; no trademark registered) mcp-name: io.github.zhaoxinghua09-cell/medxpert-library-connector
Nothing above is checked by us. What we check is on the safety report.
MedXpert 图书馆连接器(通用版): common questions
- Is MedXpert 图书馆连接器(通用版) MCP server safe?
- With care: it is graded C, so read the findings first (65/100). Read the MedXpert 图书馆连接器(通用版) safety report
- Does MedXpert 图书馆连接器(通用版) need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is MedXpert 图书馆连接器(通用版) maintained?
- The last commit was 37 days ago (2026-09-28). The latest release is v1.0.0.
- What can I use instead of MedXpert 图书馆连接器(通用版)?
- Servers from other publishers that do the same job: IWE (iwe.md) MCP server, Basic Memory MCP server and Local Rag MCP server.
- How does MedXpert 图书馆连接器(通用版) compare with other AI and agents MCP servers?
- safety score 65/100 (higher than 25% of 4,460 AI and agents servers); github stars 1 (more than 50% of 2,711 AI and agents servers). Full comparison.
Alternatives to MedXpert 图书馆连接器(通用版)
Same job from other publishers: the closest match first, then the best rated.
- IWE (iwe.md)Markdown knowledge base as agent memory. Runs against the notes directory it is started in.not reviewedEstablishedA
- Basic MemoryLocal-first knowledge management with bi-directional LLM sync via Markdown files.not reviewedWidely usedB
- Local RagEasy-to-setup local RAG server with minimal configurationnot reviewedEstablishedA
- Butterbase AIButterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.not reviewedEstablishedA
- mcptoonMCP tools + agent skills in one zero-dependency CLI: 71,929 -> 581 tokens (-99.2%, measured).not reviewedEstablishedA