原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Listing Location Toolkit

作者:Nero-Engine版本 0.1.0i★ –i在云端运行
注册名称io.github.Nero-Engine/listing-location-toolkit

安装

概览

作者提供的说明(英文原文)

Location facts for property and business listings: drive times, people within 2 hours, nature.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 旅行、地图与天气

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://listing-location-toolkit.nerolabs.workers.dev/mcp

在终端中运行这条命令

claude mcp add --transport http listing-location-toolkit https://listing-location-toolkit.nerolabs.workers.dev/mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "listing-location-toolkit": {
      "url": "https://listing-location-toolkit.nerolabs.workers.dev/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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "listing-location-toolkit": {
      "type": "http",
      "url": "https://listing-location-toolkit.nerolabs.workers.dev/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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://listing-location-toolkit.nerolabs.workers.dev/mcp

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。

它能做什么

工具名称和描述与服务器在 2026年11月10日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • list_capabilities

    Free. Lists every tool, the data sources and licences, the coverage (US and UK) and the limits. No inputs.

  • listing_location_pack

    Everything for one address in one call: drive times to the nearest town, cities and airports; people living within a 1, 2 and 4 hour drive (US Census 2020 or WorldPop 2020 UK); nearby lakes, rivers, coast, mountains, national parks and attractions with distances and drive minutes

  • who_can_reach

    How many people live within each drive time of an address, for example 1, 2 and 4 hours. US: 2020 Census block group populations. UK: WorldPop 2020 1 km grid. Drive times from the OSRM router on OpenStreetMap roads (minutes scaled to match Google Maps usual traffic). Returns the

  • drive_times

    Drive minutes and road miles from an address to up to 20 places. Give destinations as names ("Utica, NY", "Manchester Airport") or {name, lat, lon}; leave them out to get the nearest town, nearest big cities and nearest airports automatically. OSRM router on OpenStreetMap roads,

  • nearby_nature

    Notable named places near an address, grouped: lakes and reservoirs, rivers, coast and beaches, islands, mountains, national parks, parks and nature reserves, golf, ski and marinas, museums and attractions. Each with miles, direction and (by default) drive minutes. Says when the

  • plot_size

    Area of a site in acres, hectares, square feet and square metres, plus its perimeter. Pass a polygon (from a county parcel map, a deed plan or a drawing) for an exact figure, or just an address or lat and lon to measure the OpenStreetMap outline of the place at that point (for ex

  • map_image

    Links for a listing map: a US aerial photo of the site as a PNG (USGS National Map imagery, public domain, any width from 100 m to 5 km), a USGS topo map PNG, and Google Maps and OpenStreetMap links. In the UK only the map links are returned for now. Instant, no outside calls.

  • locate_address

    Turns an address or UK postcode into latitude and longitude, with the matched address and the source (US Census Geocoder, postcodes.io or Nominatim). Use it to check the pin before the other tools.

基础检查i

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10日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Nero-Engine 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 374 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 8 个工具描述,未发现针对 AI 的隐藏指令

与“旅行、地图与天气”中的其他服务器比较i

  • 星标数多于此分类中其他 1754 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1754 个服务器的 100% 更新
  • 基础检查结果等于或优于此分类中其他 1754 个服务器的 100%

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。

常见问题

Listing Location Toolkit 安全吗?

它在 3 项适用的基础检查中通过了 3 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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于今天进入注册中心。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:MCP Google Maps Places Scraper, ApexCharts, Tripomatic Trip Planner

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ 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 Google Maps Places Scraper

Search Google Maps and get one row per place: phone, website, address, rating, and hours.

作者:mambalabsdev非常新今天更新

在你的电脑上运行✓ mambabuilt.com

ApexCharts

Generates and validates configs for ApexCharts charts, grid, gantt, tree, sankey, stock and maps.

作者:apexcharts正在增长↓ 1876/周今天更新

电脑或云端✓ apexcharts.com

Tripomatic Trip Planner

Plan trips with Tripomatic: search places, build day-by-day itineraries and edit your trips.

作者:tripomatic.com起步阶段今天更新

在云端运行✓ tripomatic.com

作者的 README

打开 README

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。

Listing Location Toolkit (Remote MCP Server)

Location facts for property and business-for-sale listings, written ready to paste, with sources. Give it an address in the US or UK and it answers the questions buyers ask: how far to the nearest town, cities and airports, how many people live within a 1, 2 or 4 hour drive, what lakes, coast, mountains, national parks and attractions are nearby, whether the site is on the water, how big the plot is, and where to get an aerial photo.

Built for AI agents working for estate agents, business brokers and their teams. No install, no API key, no signup. Connect by URL and call it.

https://listing-location-toolkit.nerolabs.workers.dev/mcp

Free to use during launch.

Why it exists

Map APIs hand back raw numbers. A listing needs sentences like "About 1.9 million people live within a 2 hour drive" with a source a buyer's adviser can check. The people count is the hard part: public drive-time services stop at 60 minutes, and a drive-time population report from the big analytics vendors costs about $50 each. This server does it in one call for the US and UK.

Tools

ToolWhat it does
listing_location_packEverything for one address in one call: drive times, people within 1, 2 and 4 hours, nearby nature and attractions, waterfront and national park checks, mapped site size, map links, listing_lines to paste, and sources. 10 to 25 seconds.
who_can_reachPeople living within each drive time (up to 4 bands, 15 minutes to 5 hours). US Census 2020 block groups, WorldPop 2020 for the UK.
drive_timesDrive minutes and road miles to up to 20 places, or automatically to the nearest town, big cities and airports.
nearby_natureNotable lakes, rivers, coast, islands, mountains, national parks, parks, golf, ski, marinas, museums and attractions, with miles, direction and drive minutes. Measures the real distance to the shore or park boundary.
plot_sizeAcres, hectares, square feet and perimeter of a parcel polygon you pass, or of the mapped outline at the address.
map_imageUS aerial photo and topo map PNG links for the site (USGS, public domain), plus Google Maps and OpenStreetMap links.
locate_addressAddress or UK postcode to latitude and longitude, with the source.
list_capabilitiesCoverage, data sources and licences, limits.

Connect

Claude Code

claude mcp add --transport http listing-location-toolkit https://listing-location-toolkit.nerolabs.workers.dev/mcp

Claude Desktop / claude.ai: Settings, Connectors, Add custom connector, paste the URL above.

Cursor, Windsurf, VS Code and other MCP clients

{

"mcpServers": { "listing-location-toolkit": { "url": "https://listing-location-toolkit.nerolabs.workers.dev/mcp" } } }

Example

Call listing_location_pack with {"address": "7090 State Route 80, Cooperstown, NY 13326"} (a lakeside inn on Otsego Lake). The listing_lines that came back, live, 09-11-2026:

[

"Drive times: Utica 46 min, Albany 1 hr 21 min, Syracuse 1 hr 39 min, New York City 3 hr 43 min and John F. Kennedy International Airport (JFK) 3 hr 57 min.", "About 380,000 people live within a 1 hour drive, about 2.5 million within 2 hours and about 30 million within 4 hours (US Census 2020).", "Waterfront: on the edge of Otsego Lake (within 170 m of the water).", "Parks, nature reserves and protected land: Glimmerglass State Park (1.0 miles, 15 min drive), Betty and Wilbur Davis State Park (9.7 miles, 29 min drive) and Gilbert Lake State Park (18 miles, 48 min drive).", "Museums, castles and attractions: Fenimore Art Museum (5.7 miles, 8 min drive), National Baseball Hall of Fame and Museum (6.8 miles, 10 min drive) and Arkell Museum (18 miles, 32 min drive)." ]

The full answer also carries each drive time with road miles and raw router minutes, the people count per band with its method, the nearby places by category with direction and distance, map links and a sources list. For a lakeside test in England, try {"address": "LA22 9HA"} (Lake District).

How the numbers are made

  • People within a drive: residents grouped into sectors by direction and distance, each sector's population centre timed by car, and sectors close to a band edge split finer and timed again. Checked against a full tract-by-tract build: within 1 to 5% at 1 to 4 hours. Bands under 1 hour are rougher. Residents only; people across a national border are not counted.
  • Drive minutes: the OSRM car router on OpenStreetMap roads, scaled to match Google Maps usual-traffic minutes (checked on 14 US routes: 12 came out 4 to 21% above Google, so on the cautious side, and 2 were 7 to 9% under). The unscaled router minutes are returned too. UK routes are not yet checked against Google. Rush hour can be longer.
  • Nearby places: notable named places from Wikidata. Distances are to each place's centre point, except edge_km, measured to the shore or boundary from its OpenStreetMap outline.
  • Plot size: measured on the ground from the polygon. An OpenStreetMap outline is not a legal boundary, so the server says "about" and asks you to check the deed.

Sources and licences

DataSourceLicence
US populationUS Census Bureau, 2020 Census centers of population by block groupPublic domain
UK populationWorldPop 2020, 1 km, UN adjustedCC BY 4.0
Roads and drive timesOpenStreetMap via the OSRM routerODbL
Nearby placesWikidataCC0
Shorelines, park boundaries, site outlinesOpenStreetMap via NominatimODbL
US addressesUS Census GeocoderPublic domain
UK postcodespostcodes.io (Ordnance Survey and ONS open data)OGL
US aerial and topo imagesUSGS The National MapPublic domain

Every answer carries its own sources list, so the credit lines can go straight into the listing.

Limits

Up to 4 drive bands per call, each 15 minutes to 5 hours. Up to 20 destinations (6 by name). Nearby search up to 40 miles. Polygons up to 5,000 points. The people count and the nearby place list cover the US and UK; drive times and plot size work anywhere roads are mapped.

Privacy

Addresses are answered in memory and never stored by this server. To find the pin, the address is sent to the geocoder named in the answer (US Census Geocoder, postcodes.io or Nominatim), and coordinates are sent to the router and Nominatim. To see which tools get used, each call records the tool name, whether it succeeded, the client name your app reports, the country and a one-way hashed caller ID. Your addresses, your arguments and your IP address are never kept in that log.

Built by Nero Labs.

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