Listing Location Toolkit

Name: Listing Location Toolkit
Author: Nero-Engine

by Nero-Engineversion 0.1.0i★ –iRuns in the cloud

Registry nameio.github.Nero-Engine/listing-location-toolkit

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiEarly★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Travel, maps & weather

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 8 things (tools) list_capabilities, listing_location_pack, who_can_reach, drive_times …
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

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

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.

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.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 10, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Nero-Engine, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 374 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 8 tool descriptions and found no hidden instructions to the AI

Compared with others in Travel, maps & weatheri

More stars than 0% of the other 1754 servers in this category
Published to the registry more recently than 100% of the other 1754 servers in this category
Basic checks equal to or better than 100% of the other 1754 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Listing Location Toolkit safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP Google Maps Places Scraper, ApexCharts, Tripomatic Trip Planner

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Tool	What it does
`listing_location_pack`	Everything 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_reach`	People 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_times`	Drive minutes and road miles to up to 20 places, or automatically to the nearest town, big cities and airports.
`nearby_nature`	Notable 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_size`	Acres, hectares, square feet and perimeter of a parcel polygon you pass, or of the mapped outline at the address.
`map_image`	US aerial photo and topo map PNG links for the site (USGS, public domain), plus Google Maps and OpenStreetMap links.
`locate_address`	Address or UK postcode to latitude and longitude, with the source.
`list_capabilities`	Coverage, 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

Data	Source	Licence
US population	US Census Bureau, 2020 Census centers of population by block group	Public domain
UK population	WorldPop 2020, 1 km, UN adjusted	CC BY 4.0
Roads and drive times	OpenStreetMap via the OSRM router	ODbL
Nearby places	Wikidata	CC0
Shorelines, park boundaries, site outlines	OpenStreetMap via Nominatim	ODbL
US addresses	US Census Geocoder	Public domain
UK postcodes	postcodes.io (Ordnance Survey and ONS open data)	OGL
US aerial and topo images	USGS The National Map	Public 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.

Listing Location Toolkit

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Travel, maps & weatheri

Common questions

Alternatives

MCP Google Maps Places Scraper

ApexCharts

Tripomatic Trip Planner

README from the maker

Listing Location Toolkit (Remote MCP Server)

Why it exists

Tools

Connect

Example

How the numbers are made

Sources and licences

Limits

Privacy