L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Développement · SKILL.md

grounding-lite

grounding-lite

Google Maps Grounding Lite MCP for location search, weather, and routes via mcporter.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: grounding-lite description: Google Maps Grounding Lite MCP for location search, weather, and routes via mcporter. homepage: https://developers.google.com/maps/ai/grounding-lite metadata: {"clawdbot":{"emoji":"🗺️","requires":{"bins":["mcporter"],"env":["GOOGLE_MAPS_API_KEY"]},"primaryEnv":"GOOGLE_MAPS_API_KEY","install":[{"id":"node","kind":"node","package":"mcporter","bins":["mcporter"],"label":"Install mcporter (npm)"}]}}

Grounding Lite

Google Maps Grounding Lite MCP provides AI-grounded location data. Experimental (pre-GA), free during preview.

Setup

  1. Enable the API: gcloud beta services enable mapstools.googleapis.com
  2. Get an API key from Cloud Console
  3. Set env: export GOOGLE_MAPS_API_KEY="YOUR_KEY"
  4. Configure mcporter:
    mcporter config add grounding-lite \
      --url https://mapstools.googleapis.com/mcp \
      --header "X-Goog-Api-Key=$GOOGLE_MAPS_API_KEY" \
      --system
    

Tools

  • search_places: Find places, businesses, addresses. Returns AI summaries with Google Maps links.
  • lookup_weather: Current conditions and forecasts (hourly 48h, daily 7 days).
  • compute_routes: Travel distance and duration (no turn-by-turn directions).

Commands

# Search places
mcporter call grounding-lite.search_places textQuery="pizza near Times Square NYC"

# Weather
mcporter call grounding-lite.lookup_weather location='{"address":"San Francisco, CA"}' unitsSystem=IMPERIAL

# Routes
mcporter call grounding-lite.compute_routes origin='{"address":"SF"}' destination='{"address":"LA"}' travelMode=DRIVE

# List tools
mcporter list grounding-lite --schema

Parameters

search_places: textQuery (required), locationBias, languageCode, regionCode

lookup_weather: location (required: address/latLng/placeId), unitsSystem, date, hour

compute_routes: origin, destination (required), travelMode (DRIVE/WALK)

Notes

  • Rate limits: search_places 100 QPM (1k/day), lookup_weather 300 QPM, compute_routes 300 QPM
  • Include Google Maps links in user-facing output (attribution required)
  • Only use with models that don't train on input data
Skills enregistrées