google-maps

Installation
SKILL.md

Google Maps - Geospatial Query Capabilities

Overview

Gives an AI Agent the ability to reason about physical space — understand locations, distances, routes, and elevation, and naturally weave that information into conversation.

Without this Skill, the agent can only guess or refuse when asked "how do I get from Taipei 101 to the National Palace Museum?". With it, the agent returns exact coordinates, step-by-step routes, and travel times.


Core Principles

Principle Explanation
Chain over single-shot Most geo questions require 2-5 tool calls chained together. See Scenario Recipes in references/tools-api.md for the full patterns.
Match recipe to intent Map the user's question to a recipe (Trip Planning, Local Discovery, Route Comparison, Neighborhood Analysis, Multi-Stop, Place Comparison, Along the Route) before calling any tool.
Precise input saves trouble Use coordinates over address strings when available. Use place_id over name search. More precise input = more reliable output.
Output is structured Every tool returns JSON. Use it directly for downstream computation or comparison — no extra parsing needed.
Present as tables Users prefer comparison tables and scorecards over raw JSON. Format results for readability.
Installs
67
GitHub Stars
431
First Seen
Mar 17, 2026
google-maps — cablate/mcp-google-map