Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
作者提供的说明(英文原文)
Securely access and manage FHIR healthcare data stored in Medplum.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
适用于网页版、桌面版和手机版 Claude:
https://api.medplum.com/mcp/stream在终端中运行这条命令
claude mcp add --transport http medplum https://api.medplum.com/mcp/stream粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"medplum": {
"url": "https://api.medplum.com/mcp/stream"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"medplum": {
"type": "http",
"url": "https://api.medplum.com/mcp/stream"
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
ChatGPT 只能连接互联网上的服务器:
https://api.medplum.com/mcp/stream菜单名称可能因套餐和版本不同而略有差异。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 medplum.com 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(1.0.0)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
同一分类中有:Mirobody, FHIR MCP Server, Google Health MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Medplum is a developer platform that enables flexible and rapid development of healthcare apps.
To build an application with an AI agent, start with the AI coding guide to connect Medplum's rules to your agent and plan with the decision guides.
We heartily welcome any and all contributions that match our engineering standards!
That being said, this codebase isn't your typical open-source project because it's not a library or package with a limited scope -- it's our entire product. Our Contributing documentation has all the information you need to get started.
By making a contribution to this project, you are deemed to have accepted the Developer Certificate of Origin (DCO).
All conversations and communities on Medplum are expected to follow GitHub's Community Guidelines and Acceptable Use Policies. We expect discussions on issues and pull requests to stay positive, productive, and respectful. Remember: there are real people on the other side of the screen!
If you found a technical bug on Medplum or have ideas for features we should implement, the issue tracker is the best place to share with us. (click here to open a new issue)
Did you learn how to do something using Medplum that wasn't obvious on your first try? By contributing your new knowledge to our documentation, you can help others who might have a similar use case!
Our documentation is hosted on medplum.com/docs, but it is built from Markdown files in our docs package.
For relatively small changes, you can edit files directly from your web browser on GitHub.dev without needing to clone the repository.
To keep new contributors focused on work we're ready to accept, code contributions go through an approval system: your Pull Request must be linked to an issue labeled open-to-community before we'll review it. This signals that a maintainer has explicitly invited community help on that issue. You can link a PR to an issue with a closing keyword in the PR description (e.g. Fixes #123) or via GitHub's Development panel. PRs that aren't linked to an open-to-community issue are automatically closed, but can be reopened once the link is added. Established contributors and Medplum team members are exempt from this requirement.
If you find a bug, look for an existing issue labeled open-to-community, or open a new issue and ask us to label it, before starting work on a fix.
If you want to implement a new feature, open an issue first to discuss with us how the feature might work, and to ensure it fits into our roadmap and plans for the app.
If you want to contribute but are unsure how to start, we have a "good first issue" label which is applied to newcomer-friendly issues. Take a look at the full list of good first issues and pick something you like!
Ready to get started writing code? Follow the local setup instructions and jump in! See our full contributing guide for more details on this process.
With the ground rules out of the way, let's talk about the coarse architecture of this mono repo:
Here is a list of all the big technologies we use:
medplum/
├── packages │ ├── agent # On-premise agent │ ├── app # Frontend web app │ ├── bot-layer # AWS Lambda Layer for Bots │ ├── cdk # AWS CDK infra as code │ ├── cli # Command line interface │ ├── core # Core shared library │ ├── definitions # Data definitions │ ├── docs # Documentation │ ├── examples # Example code used in documentation │ ├── fhir-router # FHIR URL router │ ├── fhirtypes # FHIR TypeScript definitions │ ├── generator # Code generator utilities │ ├── graphiql # Preconfigured GraphiQL │ ├── hl7 # HL7 client and server │ ├── mock # Mock FHIR data for testing │ ├── react # React component library │ ├── react-hooks # React hooks library │ └── server # Backend API server └── scripts # Helper bash scripts
Thanks to Chromatic for providing the visual testing platform that helps us review UI changes and catch visual regressions.
Apache 2.0