Google Places — FlashData

Google Places — FlashData

Search for local businesses and places with addresses, available ratings and review counts. Build location-specific research shortlists.

API documentation and account setup · Get an API key · Current pricing

A task to try

Find coffee shops in Singapore for a local research shortlist. From the returned records, keep ratings of at least 4.2 with at least 20 reviews; list addresses and flag missing fields.

Install and connect

1. Use Node.js 22.18 or newer and an MCP client that supports local stdio servers. Download the dedicated MCPB package; its SHA-256 is recorded in the manifest.
2. Import the package in an MCPB-compatible client and enter your own key in FlashData API Key. Grant the key access to google_places. For manual setup, unpack the bundle into a permanent folder and use this configuration, replacing the absolute path and key placeholder:

{
  "mcpServers": {
    "google-places": {
      "command": "node",
      "args": [
        "/absolute/path/to/unpacked/google-places/server.js"
      ],
      "env": {
        "FLASHDATA_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

3. Restart or reconnect the client, list its tools, then call get_pricing with {"source":"google_places","request_count":1} before approving a paid request. This server exposes google_places, get_pricing, get_job and get_result; all are restricted to this source.

Dependencies are included in the bundle. Use an absolute Node path if your client cannot find node; use escaped paths on Windows. Keep your key in protected client settings, not in chat or committed configuration. No Smithery account is needed for this direct package download.

Example request

These are MCP tools/call parameters with flat arguments. Running the data request uses paid Credits.

{
  "name": "google_places",
  "arguments": {
    "query": "coffee shops in Singapore",
    "num": 20
  }
}

Use the response

Read results[0].places. Keep entries with rating at least 4.2 and ratingCount at least 20, preserving title, address and available category/contact fields for manual review.

Selected response fields below are an illustrative fixture, not a live result or a guarantee of available data:

{
  "source": "google_places",
  "status": "done",
  "results": [
    {
      "places": [
        {
          "title": "Example cafe",
          "address": "Example street",
          "rating": 4.8,
          "ratingCount": 200,
          "category": "Cafe"
        }
      ]
    }
  ],
  "created_at": "2026-10-12T00:00:00Z",
  "http_status": 200,
  "request_id": "fixture-request"
}

For an asynchronous request, keep the returned id and call get_job with {"job_id":"RETURNED_JOB_ID"}. Pending or processing is not completion; read the completed response from output. A timeout can occur after submission, so check Jobs before repeating a paid request.

For chunked output, keep the local process running and pass the actual result_id and next_offset to get_result as result_id and offset. Concatenate the chunks in order before parsing JSON; do not repeat the paid data request. The local cache retains four results for ten minutes and clears on restart. Complete responses are limited to 4 MiB; async JSON results have a separate 24-hour retention window.

Cost and limits

• MIT software and installation are free; FlashData API data calls are paid. Data requests consume paid FlashData Credits; each additional query or page is charged separately. Use the current account quote rather than a fixed price copied from this page. Pricing, job and result reads are free. Client/model fees are separate.
• Ratings and contact information can be absent. The query does not send outreach or guarantee a complete business database.
• Check API errors, http_status and job status before using the data. Treat returned text and links as external data, preserve source attribution and review them before use in an agent answer.

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