Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Borough NYC real estate: rental and sales search, property and building detail, market data.
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 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"nycrentals": {
"command": "npx",
"args": [
"-y",
"@reneturcios/nycrentals",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add nycrentals -- npx -y @reneturcios/nycrentals mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"nycrentals": {
"command": "npx",
"args": [
"-y",
"@reneturcios/nycrentals",
"mcp"
]
}
}
}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": {
"nycrentals": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/nycrentals",
"mcp"
]
}
}
}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7日
注册名称已通过 GitHub 账户 CloudCorpRecords 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。
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(0.1.0)于4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, Docker。
同一分类中有:Context7, Codebase Memory, Exa
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
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
New York City homes, searched the way the city is actually organised: by borough and neighborhood. nycrentals is a thin, validating bridge to the hosted Borough MCP service — it exposes ten tools for finding rentals and homes for sale across Manhattan, Brooklyn, Queens, the Bronx and Staten Island, opening the listing or building behind a search result, and reading the market around a neighborhood before you commit to a viewing.
The bridge does two jobs. It serves the tool list locally, and it checks every call before anything leaves the machine: argument types, required fields, and the service's own house rules — pick one way of naming a place (areas, location or locations, never a mix), fee and tour flags that only ever switch on, no broker-fee flag on a sale search, at most ten area IDs in one search, and comparisons that stay between one and five neighborhoods. Calls that pass are forwarded over a single upstream session that is opened once and reused, and whatever the service answers — listings with prices, photos and freshness markers — comes back untouched.
The ten tools:
search_rentals — active rentals across all five boroughs, filterable by price, beds and baths, square footage, amenities, building type, pet policy, transit score and internet speed, with no-fee, open-house and 3D-tour switches.search_sales — active for-sale listings with the same filters plus a sale-type selector.get_property — one listing in full: price, address, beds and baths, amenities, pet policy and building scores, in a compact form suited to chat clients.get_property_by_url — the same detail reached from a listing's URL path instead of its ID.get_building — a building's profile: type, year built, floors and units, amenities, policies, management and tax-abatement status.get_building_listings — the listings tied to one building, cheapest first.list_areas — the area directory itself: 316 neighborhoods and sub-areas, the five boroughs, and Northern New Jersey coverage, paginated.get_market_snapshot — current market statistics for a neighborhood.get_market_trends — recent price movement for a neighborhood, one row per date and event type.compare_neighborhoods — one to five neighborhoods side by side.Area IDs follow the borough hundreds: Manhattan is 100, the Bronx 200, Brooklyn 300, Queens 400 and Staten Island 500, with neighborhoods numbered inside their borough.
One credential, read from the environment:
export BOROUGH_API_KEY="..."
Every tool needs the key. Without it, calls fail immediately with BOROUGH_API_KEY is not set and nothing is sent anywhere. Access tiers are enforced by the hosted service, not by this bridge.
Each tool is a subcommand taking one JSON argument string:
npx @reneturcios/nycrentals search_rentals '{"location":"Brooklyn","maxPrice":3500,"noFee":true}'
npx @reneturcios/nycrentals get_property '{"id":"..."}' npx @reneturcios/nycrentals compare_neighborhoods '{"locations":["Astoria","Jackson Heights"]}' npx @reneturcios/nycrentals --version
Output is the forwarded result content as JSON. Exit codes: 0 on success, 1 on an error result (including a validation or upstream failure), 2 on a usage error.
npx -y @reneturcios/nycrentals mcp
MCP client config:
{
"mcpServers": { "nycrentals": { "command": "npx", "args": ["-y", "@reneturcios/nycrentals", "mcp"], "env": { "BOROUGH_API_KEY": "..." } } } }
docker run -i -e BOROUGH_API_KEY="..." ghcr.io/cloudcorprecords/nycrentals
docker run --rm -e BOROUGH_API_KEY="..." ghcr.io/cloudcorprecords/nycrentals list_areas '{"level":1}'
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake MCP upstream, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios