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    Enables assembling local business prospect lists from Google Maps searches by category and place, returning one row per business with website, phone, address, coordinates, categories, rating, review count, and weekly hours. Supports filters for minimum rating, review count, website, and phone, plus URL and category-plus-location queries, deduplication across searches, and Clay-ready output via Apify.
    1
    294 npm
    MIT
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    maintenance
    Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP
    6
    1
    MIT
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    Enables access to Google Maps business data including search, reviews, photos, and geocoding. Supports searching businesses by location, area, or coordinates, retrieving detailed business information, reviews, and performing reverse geocoding operations.
    13
    MIT
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    Connects a Google Business Profile to AI assistants like Claude, ChatGPT, Cursor, and Claude Code so users can query local search and Maps performance, track keywords, and monitor reviews through natural language. It also supports write actions for replying to reviews, publishing local posts, and managing photos and menus, with per-account read-only or read-and-write controls.
    4
    MIT
  • F
    license
    Not graded
    quality
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    maintenance
    Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP
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    An MCP server that enables finding and qualifying local business leads through the Google Maps Places API, with tools for searching businesses, fetching details, and sweeping areas for coverage.
    3
    6 npm
    AGPL 3.0
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    Enables AI assistants to scrape Google Maps business data (names, addresses, phones, emails, websites, ratings, etc.) through natural language queries, with tools for synchronous and asynchronous scraping and credit checking.
    4
    12 npm
    3
    MIT
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    Enables Yelp business search, place details, and full review feeds as structured JSON through a hosted MCP endpoint, with no Yelp Fusion key required.
    3
    36 npm
    24 PyPI
    10
    MIT
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    Minimal MCP server for the Yelp Fusion API v3, enabling business search, phone lookup, match, details, and reviews via FastMCP.
    5
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    A read-only MCP server for OpenStreetMap offering geocoding, routing, route optimization, isochrones, and POI search—requiring no API key and built for AI travel planning.
    11
    492 npm
    4
    MIT
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    A Model Context Protocol server that provides geocoding services by integrating with the Nominatim API, allowing AI assistants to perform location-based lookups.
    2
    332 npm
    3
    MIT
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    MCP server for the Yango Delivery B2B API, enabling price estimation, express-courier claim creation and confirmation, courier tracking, and recipient tracking links through natural language.
    13
    94 npm
    MIT
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    MCP server that wraps NVE's open GIS data to provide flood risk and landslide risk point lookups, with explicit uncertainty reporting (e.g., 'no data' vs 'safe') and source references.
    2
    35 npm
    MIT
  • A
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    这是一个面向中文圈的MCP服务器,将中国互联网常用能力(如地图、快递、RSS、B站等)封装为标准MCP工具,方便AI Agent安全调用。
    13
    2
    MIT
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    Enables answering business questions about Spanish places by resolving place names and returning population, household and income statistics down to municipality, district and census tract level from official INE data, cross-checked between sources with province, region and country benchmarks. Every figure is delivered with its publisher, dataset id, data year and retrieval date, alongside caveat checks for suppressed, stale, thin-sample or estimated values.
    13
    68 PyPI
    MIT