Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
U.S. Census (ACS) data by ZIP: income, demographics, housing, education, from a local store.
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。
CENSUS_API_KEY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": {
"census": {
"command": "uvx",
"args": [
"mcpwright-census"
],
"env": {
"CENSUS_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add census --env CENSUS_API_KEY=your-value -- uvx mcpwright-census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": {
"census": {
"command": "uvx",
"args": [
"mcpwright-census"
],
"env": {
"CENSUS_API_KEY": "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": {
"census": {
"type": "stdio",
"command": "uvx",
"args": [
"mcpwright-census"
],
"env": {
"CENSUS_API_KEY": "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。
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6日
注册名称已通过 GitHub 账户 mcpwright 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:CENSUS_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(0.1.3)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。你的电脑上还需要有 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
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。
U.S. Census data by ZIP code, inside your agent. An MCP server that lets an LLM look up income, demographics, housing, and education for any ZIP — built on Anthropic's official mcp Python SDK.
All tools are read-only. Data is the U.S. Census Bureau's American Community Survey (ACS) 5-year release — bulk-downloaded once into a local store, then served offline. A free Census API key is required for the one-time download.
Status: published (v0.1.2) —
uvx mcpwright-census(PyPI) and listed in the official MCP
Registry as
io.github.mcpwright/census-mcp. All 8 tools below are live and unit-tested, verified
end-to-end against the live ACS 5-year release (vintage 2024 at the time of writing — the
server auto-detects the latest). Part of the
mcpwright suite.
| Tool | What it does |
|---|---|
lookup_zip(zip_code) | Confirm a ZIP maps to a Census ZCTA; returns name, total population, and the ACS vintage. |
get_income(zip_code) | Median household income, per-capita income, total households, and the % of households earning $200k+. |
get_demographics(zip_code) | Total population and median age. |
get_housing(zip_code) | Median home value, median gross rent, occupied units, and % owner-occupied. |
get_education(zip_code) | Of adults 25+, the % with a bachelor's degree or higher and the % with a graduate/professional degree. |
compare_zips(zips, metric) | Rank several ZIPs by one metric (income, age, home value, attainment, …), highest first. |
get_acs_variable(zip_code, variable) | Escape hatch: the raw value of any stored ACS variable, by code or friendly name. |
find_zips(place, state=None) | Reverse lookup: the ZIPs that fall within a city/town/CDP, ranked by how much of each ZIP's land lies in the place. |
ZIP ≈ ZCTA (ZIP Code Tabulation Area): they mostly coincide, but ~2% of ZIPs (PO-box-only / non-residential) have no ZCTA and will return an error. All ACS figures are 5-year *estimates*.
find_zips is the reverse direction (place → ZIPs). It's approximate: ZCTAs don't nest inside places, so a ZIP can span several places and vice versa — read each match's coverage_pct and pass a state to disambiguate same-named places (e.g. Cambridge, MA vs OH). It's built on the public 2020 Census ZCTA-to-Place relationship file (2020 geography; no API key needed for it).
Requires Python 3.12+ and a free Census API key (set CENSUS_API_KEY). The PyPI package is mcpwright-census; the command, server, and tools are all "census".
export CENSUS_API_KEY=your-free-key
uvx mcpwright-census setup # one-time: bulk-download the ACS dataset into a local store
claude mcp add census -e CENSUS_API_KEY=your-free-key -- uvx mcpwright-census
Add to claude_desktop_config.json:
{
"mcpServers": { "census": { "command": "uvx", "args": ["mcpwright-census"], "env": { "CENSUS_API_KEY": "your-free-key" } } } }
First run downloads the full ACS dataset (~33k ZCTAs) into a local SQLite store under
your OS cache dir, so every later lookup is instant and offline. Run
mcpwright-census setup
ahead of time, or let the server download lazily on first use.
mcpwright-census refresh
re-pulls when a new ACS vintage is published. Override the store location with
CENSUS_MCP_STORE.
git clone https://github.com/mcpwright/census-mcp && cd census-mcp
uv sync uv run pytest -v # tests (mocked Census + seeded SQLite) uv run ruff check src/ && uv run ruff format --check src/ # lint + format uv run mypy # type checking uv run mcp dev src/census_mcp/server.py # poke the tools in the MCP Inspector
lookup_zip — validate a ZIP, name + populationget_income — income measures + % $200k+get_demographics — population + median age _(age brackets still to come)_get_housing — median home value, rent, % owner-occupiedget_education — % bachelor's+, % graduatecompare_zips — one metric across several ZIPs, rankedget_acs_variable — raw value for any stored ACS variable (escape hatch)find_zips — reverse lookup: place → ZIPs, ranked by land coverageget_demographics age brackets (under-18 / 18-34 / 35-64 / 65+)mcpwright-census) + the official MCP Registrycensus-mcp runs entirely on your machine and collects, stores, or transmits no personal data — no accounts, no tracking, no telemetry. Its only outbound requests go to the public U.S. Census Bureau to download public data: api.census.gov for the ACS dataset (using your own CENSUS_API_KEY), and www2.census.gov for the place-lookup file used by find_zips (no key needed). The key is read from your environment and is never logged or sent anywhere else. These downloads happen during setup/refresh (or lazily on first use); after that, lookups are served from a local store with no further network calls. The downloaded data lives under your OS cache directory (public reference data only) and can be deleted at any time.
Full policy: https://mcpwright.com/privacy
Contributions welcome.
Part of mcpwright · built by Devender Gollapally