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)
Open data from 40+ U.S. government APIs: economy, spending, Congress, health, energy, disasters
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。
DATA_GOV_API_KEY, FRED_API_KEY, CENSUS_API_KEY, BLS_API_KEY, BEA_API_KEY, EIA_API_KEY, NOAA_API_KEY, USDA_NASS_API_KEY, HUD_USER_TOKEN, DOL_API_KEY, USPTO_API_KEY, LDA_API_KEY, AQS_API_KEY, AQS_EMAIL, SEC_CONTACT_EMAIL, NWS_USER_AGENT, MODULES, DOMAINS, HIDE_UNCONFIGURED, TOOL_MODE, MAX_RESPONSE_BYTES标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"us-gov-open-data": {
"command": "npx",
"args": [
"-y",
"us-gov-open-data-mcp"
],
"env": {
"DATA_GOV_API_KEY": "your-value",
"FRED_API_KEY": "your-value",
"CENSUS_API_KEY": "your-value",
"BLS_API_KEY": "your-value",
"BEA_API_KEY": "your-value",
"EIA_API_KEY": "your-value",
"NOAA_API_KEY": "your-value",
"USDA_NASS_API_KEY": "your-value",
"HUD_USER_TOKEN": "your-value",
"DOL_API_KEY": "your-value",
"USPTO_API_KEY": "your-value",
"LDA_API_KEY": "your-value",
"AQS_API_KEY": "your-value",
"AQS_EMAIL": "your-value",
"SEC_CONTACT_EMAIL": "your-value",
"NWS_USER_AGENT": "your-value",
"MODULES": "your-value",
"DOMAINS": "your-value",
"HIDE_UNCONFIGURED": "your-value",
"TOOL_MODE": "your-value",
"MAX_RESPONSE_BYTES": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add us-gov-open-data --env DATA_GOV_API_KEY=your-value --env FRED_API_KEY=your-value --env CENSUS_API_KEY=your-value --env BLS_API_KEY=your-value --env BEA_API_KEY=your-value --env EIA_API_KEY=your-value --env NOAA_API_KEY=your-value --env USDA_NASS_API_KEY=your-value --env HUD_USER_TOKEN=your-value --env DOL_API_KEY=your-value --env USPTO_API_KEY=your-value --env LDA_API_KEY=your-value --env AQS_API_KEY=your-value --env AQS_EMAIL=your-value --env SEC_CONTACT_EMAIL=your-value --env NWS_USER_AGENT=your-value --env MODULES=your-value --env DOMAINS=your-value --env HIDE_UNCONFIGURED=your-value --env TOOL_MODE=your-value --env MAX_RESPONSE_BYTES=your-value -- npx -y us-gov-open-data-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"us-gov-open-data": {
"command": "npx",
"args": [
"-y",
"us-gov-open-data-mcp"
],
"env": {
"DATA_GOV_API_KEY": "your-value",
"FRED_API_KEY": "your-value",
"CENSUS_API_KEY": "your-value",
"BLS_API_KEY": "your-value",
"BEA_API_KEY": "your-value",
"EIA_API_KEY": "your-value",
"NOAA_API_KEY": "your-value",
"USDA_NASS_API_KEY": "your-value",
"HUD_USER_TOKEN": "your-value",
"DOL_API_KEY": "your-value",
"USPTO_API_KEY": "your-value",
"LDA_API_KEY": "your-value",
"AQS_API_KEY": "your-value",
"AQS_EMAIL": "your-value",
"SEC_CONTACT_EMAIL": "your-value",
"NWS_USER_AGENT": "your-value",
"MODULES": "your-value",
"DOMAINS": "your-value",
"HIDE_UNCONFIGURED": "your-value",
"TOOL_MODE": "your-value",
"MAX_RESPONSE_BYTES": "your-value"
}
}
}
}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": {
"us-gov-open-data": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"us-gov-open-data-mcp"
],
"env": {
"DATA_GOV_API_KEY": "your-value",
"FRED_API_KEY": "your-value",
"CENSUS_API_KEY": "your-value",
"BLS_API_KEY": "your-value",
"BEA_API_KEY": "your-value",
"EIA_API_KEY": "your-value",
"NOAA_API_KEY": "your-value",
"USDA_NASS_API_KEY": "your-value",
"HUD_USER_TOKEN": "your-value",
"DOL_API_KEY": "your-value",
"USPTO_API_KEY": "your-value",
"LDA_API_KEY": "your-value",
"AQS_API_KEY": "your-value",
"AQS_EMAIL": "your-value",
"SEC_CONTACT_EMAIL": "your-value",
"NWS_USER_AGENT": "your-value",
"MODULES": "your-value",
"DOMAINS": "your-value",
"HIDE_UNCONFIGURED": "your-value",
"TOOL_MODE": "your-value",
"MAX_RESPONSE_BYTES": "your-value"
}
}
}
}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。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
AQS_EMAIL envSEC_CONTACT_EMAIL envNWS_USER_AGENT envMODULES envDOMAINS envHIDE_UNCONFIGURED envTOOL_MODE envMAX_RESPONSE_BYTES env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。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
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 GitHub 账户 lzinga 验证,该账户拥有此仓库
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
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
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。
你需要填写:DATA_GOV_API_KEY, FRED_API_KEY, CENSUS_API_KEY, BLS_API_KEY, BEA_API_KEY, EIA_API_KEY, NOAA_API_KEY, USDA_NASS_API_KEY, HUD_USER_TOKEN, DOL_API_KEY, USPTO_API_KEY, LDA_API_KEY, AQS_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2026.10.8)于30天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
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。
MCP Server + TypeScript SDK for 40+ U.S. Government APIs
300+ tools covering economic, fiscal, health, education, energy, environment, lobbying, housing, patents, safety, banking, consumer protection, workplace safety, transportation, seismic, clinical trials, pharma payments, research funding, procurement, and legislative data.
20+ APIs require no key · The rest use free keys that take under a minute to get
Getting Started · API Reference · Documentation
--modules fred,treasury,congress or --domains economy,health--tool-mode discovery lists 4 tools instead of 350; the model searches for the one it needsmeta.sources lists the upstream API requests behind each answerRequires Node.js 22 or later.
npx us-gov-open-data-mcp
Add to .vscode/mcp.json for VS Code / Copilot:
{
"servers": { "us-gov-open-data": { "command": "npx", "args": ["-y", "us-gov-open-data-mcp"], "env": { "FRED_API_KEY": "your_key", "DATA_GOV_API_KEY": "your_key" } } } }
Add to claude_desktop_config.json for Claude Desktop:
{
"mcpServers": { "us-gov-open-data": { "command": "npx", "args": ["-y", "us-gov-open-data-mcp"], "env": { "FRED_API_KEY": "your_key", "DATA_GOV_API_KEY": "your_key" } } } }
Once connected, ask your AI assistant natural language questions:
Economic: "What's the current state of the U.S. economy? Show me GDP, unemployment, inflation, and interest rates."
Health: "Show me the adverse event profile for Ozempic including clinical trials, FDA reports, and pharma payments to doctors."
Legislative: "What happened with the Inflation Reduction Act? Who sponsored it, how did the vote break down by party?"
Follow the money: "Which banking PACs gave money to members of the Senate Banking Committee, and how did those members vote on banking deregulation?"
Cross-reference: "How has federal spending on healthcare changed over the last 5 years, and what health outcomes has it produced?"
npm install us-gov-open-data-mcp
import { getObservations } from "us-gov-open-data-mcp/sdk/fred";
import { searchBills } from "us-gov-open-data-mcp/sdk/congress";
const gdp = await getObservations("GDP", { sort: "desc", limit: 5 });
No MCP server required. All functions include caching, retry, and rate limiting.
Full documentation at [lzinga.github.io/us-gov-open-data-mcp](https://lzinga.github.io/us-gov-open-data-mcp/)
| Getting Started | MCP setup, SDK install, client configs |
| API Keys | Which APIs need keys, where to get them |
| Data Sources | All 40+ APIs grouped by category |
| API Reference | Auto-generated from TypeScript — every function and type |
| Examples | SDK code, MCP prompts, analysis showcases |
| Architecture | How the system works |
| Adding Modules | Add a new API — just create a folder |
| Category | APIs |
|---|---|
| Economic | Treasury, FRED, BLS, BEA, EIA |
| Legislative | Congress.gov, Federal Register, GovInfo, Regulations.gov |
| Financial | FEC, Senate Lobbying, SEC, FDIC, CFPB |
| Spending & Procurement | USAspending, Open Payments, GSA CALC+ |
| Health & Safety | CDC, FDA, CMS, ClinicalTrials.gov, NIH, NHTSA, DOL |
| Environment & Weather | EPA, EPA AQS, NOAA, NWS, NREL, USGS |
| Justice | FBI Crime Data, DOJ News |
| Education & Research | NAEP, College Scorecard, USPTO |
| Demographics | Census, HUD, FEMA |
| Other | BTS, USDA NASS, USDA FoodData, World Bank |
This project integrates a significant number of government APIs, many of which have large, complex, or inconsistently documented schemas. AI is used as a tool throughout this project to help parse API documentation, generate type definitions, and scaffold tool implementations — making it possible to cover this much surface area and get people access to government data faster than would otherwise be feasible. While every effort has been made to ensure accuracy, some endpoints may return unexpected results, have incomplete parameter coverage, or behave differently than documented.
This is a community-driven effort — if you find something that's broken or could be improved, please open an issue or submit a PR. Contributions that fix edge cases, improve schema accuracy, or expand coverage are especially welcome. The goal is to make U.S. government data as accessible and reliable as possible, together.
All data is sourced from official U.S. government and international APIs — the server does not generate, modify, or editorialize any data.
MIT