Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Google Maps Grounding Lite MCP for location search, weather, and routes via mcporter.
Google Maps Grounding Lite MCP for location search, weather, and routes via mcporter.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Google Maps Grounding Lite MCP provides AI-grounded location data. Experimental (pre-GA), free during preview.
Enable the API: gcloud beta services enable mapstools.googleapis.com Get an API key from Cloud Console Set env: export GOOGLE_MAPS_API_KEY="YOUR_KEY" Configure mcporter: mcporter config add grounding-lite \ --url https://mapstools.googleapis.com/mcp \ --header "X-Goog-Api-Key=$GOOGLE_MAPS_API_KEY" \ --system
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).
# 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
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)
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
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.