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Mcp Google Map Project

Community
cablate
mcp-google-map-project

Project knowledge for developing and maintaining @cablate/mcp-google-map. Architecture, Google Maps API guide, GIS domain knowledge, and design decisions. Read this skill to onboard onto the project or make informed development decisions.

Overview

Publishercablate
Repositorymcp-google-map
Skill namemcp-google-map-project
Stars
479
Forks
93
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cablate on GitHub. Read the source before you install it.

Installation

Install the Mcp Google Map Project AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cablate/mcp-google-map/tree/main/.agents/skills/project-docs
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cablate/mcp-google-map.git /tmp/mcp-google-map
mkdir -p .claude/skills
cp -r /tmp/mcp-google-map/.agents/skills/project-docs .claude/skills/mcp-google-map-project
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp Google Map Project in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mcp Google Map Project on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mcp Google Map Project is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

mcp-google-map — Project Knowledge

Overview

This skill contains everything needed to develop, maintain, and extend the @cablate/mcp-google-map MCP server. Reading these files gives you full context on architecture, API specifics, domain knowledge, and the reasoning behind design decisions.

For the agent skill (how to USE the tools), see skills/google-maps/SKILL.md.


Quick Orientation

AspectSummary
WhatMCP server providing Google Maps tools for AI agents
StackTypeScript, Node.js, Express, MCP SDK, Zod
Tools18 tools (14 atomic + 4 composite)
Transportsstdio, Streamable HTTP, standalone exec CLI
APIsPlaces API (New), Directions, Geocoding, Elevation, Timezone, Weather, Air Quality, Static Maps, Search Along Route

Reference Files

FileContentWhen to read
references/architecture.mdSystem architecture, 3-layer design, transport modes, tool registration flow, 9-file checklist, code mapStart here when onboarding. Also read when adding new tools.
references/google-maps-api-guide.mdAll Google Maps API endpoints used, pricing, coverage limits, rate limits, common gotchas, Places New vs LegacyWhen debugging API errors, evaluating new APIs, or checking costs
references/geo-domain-knowledge.mdGIS fundamentals — coordinates, distance, geocoding, place types, spatial search, map projection, Japan-specific knowledgeWhen making tool design decisions that involve geographic concepts
references/decisions.md10 Architecture Decision Records (ADR) with context and rationaleWhen asking "why was X built this way?" or considering changes to existing design

How to Add a New Tool

See references/architecture.md § "9-File Tool Change Checklist" for the complete procedure. Summary:

  1. Create src/tools/maps/<toolName>.ts (NAME, DESCRIPTION, SCHEMA, ACTION)
  2. Register in src/config.ts
  3. Add exec case in src/cli.ts
  4. Add to tests/smoke.test.ts (expectedTools + API call test)
  5. Update README.md (count + table + exec list + project structure)
  6. Update skills/google-maps/SKILL.md (Tool Map)
  7. Update skills/google-maps/references/tools-api.md (params + chaining)
  8. Check server.json and package.json descriptions

When to Update This Skill

TriggerWhat to update
Architecture changereferences/architecture.md
New Google Maps API integratedreferences/google-maps-api-guide.md
New design decision madereferences/decisions.md (add ADR)
New GIS concept relevant to toolsreferences/geo-domain-knowledge.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mcp Google Map Project AI skill do?

Project knowledge for developing and maintaining @cablate/mcp-google-map. Architecture, Google Maps API guide, GIS domain knowledge, and design decisions. Read this skill to onboard onto the project or make informed development decisions.

Why use Mcp Google Map Project on TypingMind?

Because you install it once and use it with any model. Mcp Google Map Project is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mcp Google Map Project in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cablate/mcp-google-map/tree/main/.agents/skills/project-docs. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mcp Google Map Project?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mcp Google Map Project?

As many as you like. As long as a model supports skills, you can use Mcp Google Map Project with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mcp Google Map Project AI skill free?

Yes. It is published on GitHub by cablate under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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