MCP Google Maps Places Scraper
Search Google Maps and get one row per place: phone, website, address, rating, and hours.
제작자가 쓴 설명(영어 원문)
Location facts for property and business listings: drive times, people within 2 hours, nature.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://listing-location-toolkit.nerolabs.workers.dev/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http listing-location-toolkit https://listing-location-toolkit.nerolabs.workers.dev/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"listing-location-toolkit": {
"url": "https://listing-location-toolkit.nerolabs.workers.dev/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"listing-location-toolkit": {
"type": "http",
"url": "https://listing-location-toolkit.nerolabs.workers.dev/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://listing-location-toolkit.nerolabs.workers.dev/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 10일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
list_capabilitiesFree. Lists every tool, the data sources and licences, the coverage (US and UK) and the limits. No inputs.
listing_location_packEverything 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_reachHow 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_timesDrive 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_natureNotable 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_sizeArea 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_imageLinks 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_addressTurns 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.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 10일 점검
레지스트리 이름이 GitHub 계정 Nero-Engine 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
374ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 8개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 오늘 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: MCP Google Maps Places Scraper, ApexCharts, Tripomatic Trip Planner
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Search Google Maps and get one row per place: phone, website, address, rating, and hours.
Generates and validates configs for ApexCharts charts, grid, gantt, tree, sankey, stock and maps.
Plan trips with Tripomatic: search places, build day-by-day itineraries and edit your trips.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
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.
| 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. |
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" } } }
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).
edge_km, measured to the shore or boundary from its OpenStreetMap outline.| 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.
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.
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.