mcp-google-map: 18 Google Maps tools and 3 Agent Skills for place search, routes, travel planning, and local SEO—via MCP

by cablate · MCP Server · ★ 478

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-google-map

npx @cablate/mcp-google-map --stdio
npx @cablate/mcp-google-map exec geocode '{"address":"Tokyo Tower"}'

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 76/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillagent-toolsaiai-agentcodex-plugingeocodinggeospatialgoogle-mapsgoogle-maps-apilocal-seo

Quick Facts

Stars478
Forks93
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score76/100
Last Updated2026-10-22
Created2025-02-22
Platformscli, codex, mcp, node
Est. Tokens~16k

About mcp-google-map

MCP Google Map Server Give your AI agent the ability to understand the physical world — geocode, r

Compatible Skills

These tools work well together with mcp-google-map for enhanced workflows:

  • freee-mcp — semantic(0.51)+same_lang+similar_pop+shared_platform (48%)
  • mcp-server — semantic(0.50)+same_lang+similar_pop+shared_platform (47%)
  • markmap-mcp-server — semantic(0.32)+same_lang+similar_pop+shared_platform (46%)
  • mcp — semantic(0.30)+same_lang+similar_pop+shared_platform (45%)
  • airtable-mcp-server — semantic(0.29)+same_lang+similar_pop+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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