@nomos/medxpert/reg-connector
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@nomos/medxpert/reg-connectorcompare UDI labeling requirements across NMPA, FDA, EU MDR, and PMDA"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MedXpert 全球法规连接器(reg-connector)
MedXpert(美达信医疗)医械线对外接口。将全球医疗器械法规知识库(27 份枢纽资料,NMPA / FDA / EU MDR / PMDA 及骨科全球注册路径)封装为本地只读 MCP Server,供任意 MCP 客户端(WorkBuddy / Claude Code / Cursor 等)的 agent 直接调用检索。
🔒 本地只读、零网络外发、零凭据
📚 27 枢纽法规知识库,自研中文友好 BM25 近似检索
🧰 4 个工具:
list_hubs/search_regulation/get_hub/ask_classification
与已上架的
medxpert-reg-hub知识技能互补:reg-hub 供 agent 读取知识,reg-connector 供 agent 调用检索。
快速开始
pip install fastmcp将本仓库克隆到本地,然后在宿主 mcp.json 中加入:
{
"mcpServers": {
"@nomos/medxpert/reg-connector": {
"command": "<你的 python 解释器路径>",
"args": ["<仓库目录>/reg_connector_server.py"],
"disabled": false,
"description": "MedXpert 全球法规连接器:本地只读检索全球医疗器械法规知识库 (NMPA/FDA/MDR/PMDA 等 27 枢纽)"
}
}
}重载 MCP 连接即可生效。references/ 需与 reg_connector_server.py 同级(开箱即用);也可用环境变量 REG_HUB_REFS 指向自定义知识库目录。
Related MCP server: Enterprise Knowledge MCP Server
工具能力
工具 | 入参 | 返回 | 用途 |
| 无 | 全部枢纽(hub_key / title / sections / official_links / phase) | 列出知识库全景 |
| 关键词(中/英/法规号,如 | 命中 hub_key/title/section/snippet/score/links | 法规条目检索 |
| 枢纽 key(先由 | 完整正文 + 官方链接 | 取某枢纽全量内容 |
| 产品描述(如 | matches + recommended_hubs + hint | 分类与注册路径速查 |
调用示例
# 列出全部 27 枢纽
list_hubs()
# 检索 UDI 多国对照
search_regulation("UDI", top_k=3)
# → 命中「UDI全球标识枢纽」四体系对照:中/美/欧/日并行(GS1/MA/阿里健康、GUDID、EUDAMED、KikiDB)
# 骨科接骨板分类与路径
ask_classification("骨科金属接骨板")
# → 推荐枢纽:骨科手术器械_全球注册路径汇编、注册工程师资料枢纽、注册周期费用有效期对比枢纽…典型场景
注册路径速查(中国 II 类周期/费用、真实注册证示例)
UDI 中/美/欧/日四体系对照
临床评价、风险管理(ISO 14971)资料索引
骨科全球注册路径汇编
注意事项与边界
返回为知识库线索,非官方结论。 分类与注册路径须以目标市场官方分类库(NMPA / FDA / MDR)为准。
本地只读、零外发,适合内网 / 合规环境。
知识库更新后需重载 server。
可选
REG_HUB_REFS指向自定义知识库目录。
许可与归属
MIT License © 注册老炮@MedXpert。知识版权声明:合成知识与方法论归品牌所有,禁止复制、转售或用于模型训练。
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