Local Business Lead Finder

io.github.ellokillox由 GitHub 帳號 ellokillox 發布v1.0.0更新於 Nov 3, 2026

在Google Maps上查詢沒有網站的本機商家,然後將其匯出為CSV。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Find local businesses on Google Maps that have no website, then export them to CSV.

發布方自己的服務:Finder Jobs

已驗證STDIO僅桌面位置與生活資料與分析

概覽

Local Business Lead Finder 的本機 MCP 服務;無需登入;STDIO。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Local Business Lead Finder,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

mcp-local-leads

[ellokillox/mcp-local-leads MCP server]

[tests] [License: MIT] [deps] [Listed on mcpservers.org] [Listed on MCP Collection]

An MCP server (Model Context Protocol) that finds local businesses that appear on Google Maps but have no website — the most obvious prospect list there is if you sell websites, SEO or marketing to local businesses.

Ask Claude Desktop / Claude Code / Cursor / any MCP client:

"Find dental clinics without a website in Temuco, Chile and save them to a CSV."

and the AI calls this server, which queries Google Places API (New), paginates, drops duplicates by placeId and returns only the businesses whose websiteUri is empty.

  • One file, zero dependencies. Standard library only, Python 3.9+ (tested in CI on 3.9, 3.12 and 3.13). No pip install, no Node, no build step.
  • Narrow field mask (11 fields). Places bills by the fields you request, so asking for less costs less.
  • Two tools: find_businesses_without_website and export_leads_csv.
  • No scraping, no third-party data brokers. It reads the field Google already returns.

Install

One command — the published image (official MCP Registry: io.github.ellokillox/mcp-local-leads, image on GHCR for amd64 and arm64):

bash
docker run -i --rm -e GOOGLE_PLACES_API_KEY=your_key ghcr.io/ellokillox/mcp-local-leads:1.0.0

…and in a client config:

json
{  "mcpServers": {    "local-leads": {      "command": "docker",      "args": ["run", "-i", "--rm", "-e", "GOOGLE_PLACES_API_KEY=your_key",               "ghcr.io/ellokillox/mcp-local-leads:1.0.0"]    }  }}

No Docker — one file. Save server.py, get a Google Places API (New) key with billing enabled: https://console.cloud.google.com/google/maps-apis. Enable Places API (New).

Claude Desktop (claude_desktop_config.json, macOS ~/Library/Application Support/Claude/, Windows %APPDATA%\Claude\):

json
{  "mcpServers": {    "local-leads": {      "command": "python3",      "args": ["/ABSOLUTE/PATH/TO/server.py"],      "env": { "GOOGLE_PLACES_API_KEY": "YOUR_KEY_HERE" }    }  }}

Claude Code / any client that takes a stdio command:

bash
GOOGLE_PLACES_API_KEY=your_key python3 server.py

Restart the client and the tools show up.

Docker (this is also how directory checks build it):

bash
docker build -t mcp-local-leads .docker run -i --rm -e GOOGLE_PLACES_API_KEY=your_key mcp-local-leads

-i keeps stdin open and there is no -t: an MCP stdio server speaks one JSON line per message, and a pseudo-TTY would corrupt it. The image is python:3.12-slim plus server.py — nothing to install, runs as an unprivileged user.

Tools

find_businesses_without_website

ArgumentTypeDefaultMeaning
citystring (required)—e.g. "Temuco, Chile", "Austin, TX"
nichestring—"dental clinics", "plumbers", "restaurants"… without it, generic local businesses
countrystring—appended to the query when the city does not include it
limitint 1–6020how many businesses without a website to return
page_sizeint 1–2020results per Places request (Google's cap is 20)
max_pagesint 1–33pages to read — each page is a billed request
languagestring—languageCode for results, e.g. "es", "en"

Returns leads (name, address, city, phone, rating, review count, type, Maps URL, coordinates, placeId), plus businesses_seen, with_website, without_website, requests, pages and next_page_token so the model knows what it actually did and what it cost in requests.

The city field is parsed from Google's formattedAddress, which ends with the country: for "Av. Alemania 123, Temuco, La Araucanía, Chile" the city column is La Araucanía, not Chile.

export_leads_csv

Writes the leads array to a CSV (12 columns, UTF-8 with BOM so Excel opens it correctly). Excel, Numbers and LibreOffice all import it as-is.

What was actually tested

python3 test_mcp_local_leads.py — 45 checks against a mock of Places API (New) served on localhost, driving server.py over real stdio JSON-RPC:

3) Busqueda real contra el mock (2 paginas)  OK    negocios vistos = 7  OK    con web = 3  OK    sin web = 4  OK    ids sin web y sin duplicados: ['p1', 'p3', 'p5', 'p7']  OK    textQuery = dental clinics in Temuco, Chile  OK    la 2a peticion envia pageToken  OK    field mask estrecha: 11 campos  OK    ciudad = penultima parte de la direccion ('La Araucanía', no 'Chile')...== 45 comprobaciones · 0 fallos ==

python3 test_mcp_sdk_client.py — the same server driven by the official Python MCP SDK (stdio_client + ClientSession), i.e. the same code path Claude Desktop uses: initialize → list_tools → call_tool for both tools, 4 leads returned, CSV written.

Both scripts are in this repo's tests/ folder and run in CI on every push (.github/workflows/test.yml, Python 3.9 / 3.12 / 3.13). The SDK interop step needs Python 3.10+, because that is the SDK's own minimum; the server itself does not.

test_mcp_docker.py — the same handshake inside the container, from the published Dockerfile (this is the check directories that build servers run: the image must start and answer introspection):

1) docker build                    OK  imagen construida2) arranque sin clave              OK  isError=true y el mensaje nombra GOOGLE_PLACES_API_KEY3) initialize / tools/list         OK  serverInfo.name = mcp-local-leads · 2 herramientas4) tools/call contra el mock       OK  3 negocios vistos · 2 sin web · ids ['p1','p3']                                   OK  field mask 11 campos · clave en X-Goog-Api-Key5) export_leads_csv                OK  2 filas escritas dentro del contenedor== RESULTADO: TODO OK (16 comprobaciones) ==

Limits (read this before you buy a key)

  • Places has no emails. It returns phone and address; finding a decision-maker's email is a separate step (and a separate problem).
  • Every page is billed by Google. Set max_pages low while you experiment. Check current Places pricing before running this at scale — prices are Google's to change, so this repo does not quote them.
  • "No website" means Places has no websiteUri. Some businesses have a Facebook page instead; that is still a business that needs a website.
  • Results honour Google's own ranking for the text query. Different niches and cities behave differently; there is no magic query.

Related

  • Free n8n version of the same first step (Places → Google Sheets, built-in nodes only): n8n-find-local-businesses-without-website
  • If you want the rest of the pipeline — lead scoring rubric, per-business research prompts, first-contact templates in ES/EN, industry configurations and the n8n workflows — that is a paid kit at https://b2b.medicpc51.cl (Spanish, local payment in Chile).

This server is free and MIT on purpose: MIT means take it and use it.

Español

Servidor MCP que encuentra negocios locales que aparecen en Google Maps pero no tienen sitio web: la lista de prospectos más obvia que existe si vendes webs, SEO o marketing a negocios locales. Un solo archivo, sin dependencias, Python 3.9+.

Le pides a tu cliente de IA: «busca clínicas dentales sin web en Temuco y guárdalas en un CSV» y el modelo llama a este servidor, que consulta Places API (New), pagina, descarta duplicados por placeId y devuelve solo los que no tienen websiteUri.

Instalación: guarda server.py, pon tu clave en GOOGLE_PLACES_API_KEY y añade el servidor a claude_desktop_config.json (el ejemplo está arriba). El campo city se toma de la penúltima parte de la dirección, porque Google termina en el país.

Limitaciones: Places no devuelve correos (solo teléfono y dirección), cada página se factura y «sin web» significa que Places no tiene websiteUri — puede tener una página de Facebook, que sigue siendo un negocio sin web.

License

MIT — see LICENSE.

來源:README.md,提交 c7c3dfd

工具

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版本歷史

1
  1. v1.0.0最新Nov 3, 2026

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