MCP Google Map Project
cablate/mcp-google-map
Project knowledge for developing and maintaining @cablate/mcp-google-map.
Place search, directions, geocoding, and interactive maps. An agent skill from aws-samples/sample-strands-agent-with-agentcore.
Install Google Maps
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore google-maps --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/chatbot-app/agentcore/skills/google-maps .claude/skills/google-maps && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "google-maps" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/google-maps into .claude/skills/google-maps/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-maps", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/google-mapsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore google-maps --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/chatbot-app/agentcore/skills/google-maps .agents/skills/google-maps && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "google-maps" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/google-maps into .agents/skills/google-maps/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-maps", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore google-maps --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/chatbot-app/agentcore/skills/google-maps .cursor/skills/google-maps && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "google-maps" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/google-maps into .cursor/skills/google-maps/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-maps", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aws-samples/sample-strands-agent-with-agentcore.git --path chatbot-app/agentcore/skills/google-maps--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore google-maps --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/chatbot-app/agentcore/skills/google-maps .gemini/skills/google-maps && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "google-maps" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/google-maps into .gemini/skills/google-maps/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-maps", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore google-mapsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .github/skills && cp -r skills-src/chatbot-app/agentcore/skills/google-maps .github/skills/google-maps && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "google-maps" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/google-maps into .github/skills/google-maps/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-maps", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aws-samples/sample-strands-agent-with-agentcore google-maps --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/chatbot-app/agentcore/skills/google-maps .opencode/skills/google-maps && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "google-maps" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/google-maps into .opencode/skills/google-maps/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-maps", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
google-maps- GitHub stars
- 194
- Token cost
- ~1.4k tokens
- SKILL.md length
- 642 words
- Files
- 1
- Skills in repo
- 24
- Repo updated
- First seen
- Licence
- MIT
At a glance
Place search, directions, geocoding, and interactive maps. An agent skill from aws-samples/sample-strands-agent-with-agentcore.
- Works in 3 steps: Text: Introduce what you'll show → Map: Call show_on_map to display results → Text: Explain the results
- Tasks that involve Geospatial analysis
- SKILL.md covers Available Tools, Usage Guidelines, Response Pattern and Output Rules, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Google Maps is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Place search, directions, geocoding, and interactive maps
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Geospatial analysis. It works with Google Maps Platform. The repository describes itself as: Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore. The licence is MIT.
When your agent uses it
- Tasks that involve Geospatial analysis
Example prompts
- “/google-maps”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Text: Introduce what you'll show
- Map: Call show_on_map to display results
- Text: Explain the results
What it can do on your machine
Read from SKILL.md and the folder at commit 6dd9d13. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Google Maps loads about 1.4k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 642 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from aws-samples/sample-strands-agent-with-agentcore at commit 6dd9d13, republished under its MIT licence (© aws-samples). 642 words, ~1,354 tokens.
Download SKILL.mdSave it as
.claude/skills/google-maps/SKILL.md (or your agent's skills folder).- name
- google-maps
- description
- Place search, directions, geocoding, and interactive maps
Google Maps
Available Tools
search_places(query, location?, radius?, type?, open_now?, language?): Search for places using text query.
query(string, required): Search text (e.g., "restaurants in Seoul")location(string, optional): Center location as "lat,lng" (e.g., "37.5665,126.9780")radius(integer, optional): Search radius in meters (max 50,000)type(string, optional): Place type filter (e.g., "restaurant", "tourist_attraction", "hotel")open_now(boolean, optional, default: false): Only return currently open placeslanguage(string, optional, default: "en"): Language code
search_nearby_places(location, radius, keyword?, type?, rank_by?, open_now?, language?): Search near specific coordinates.
location(string, required): Center as "lat,lng" (e.g., "37.5665,126.9780")radius(integer, required): Search radius in meters (max 50,000)keyword(string, optional): Search keywordtype(string, optional): Place type filterrank_by(string, optional, default: "prominence"): "prominence" or "distance"open_now(boolean, optional, default: false): Only open placeslanguage(string, optional, default: "en"): Language code
get_place_details(place_id, language?): Get detailed place info including reviews and hours.
place_id(string, required): Place ID from search resultslanguage(string, optional, default: "en"): Language code
get_directions(origin, destination, mode?, alternatives?, avoid?, language?): Get directions between two locations.
origin(string, required): Starting point (address or "lat,lng")destination(string, required): Destination (address or "lat,lng")mode(string, optional, default: "driving"): "driving", "walking", "bicycling", "transit"alternatives(boolean, optional, default: false): Return alternative routesavoid(string, optional): "tolls", "highways", or "ferries"language(string, optional, default: "en"): Language code
geocode_address(address, language?, region?): Convert a text address to geographic coordinates.
address(string, required): Address to geocodelanguage(string, optional, default: "en"): Language coderegion(string, optional): Country code for regional bias
reverse_geocode(latlng, language?): Convert coordinates to a human-readable address.
latlng(string, required): Coordinates as "lat,lng" (e.g., "37.5665,126.9780")language(string, optional, default: "en"): Language code
show_on_map(map_type, markers?, directions?, center?, zoom?): Display locations or routes on an interactive map.
map_type(string, required): "markers" (location pins), "directions" (route), or "area"markers(array, required for "markers"): List of marker objects with lat, lngdirections(object, required for "directions"): Route data with origin and destinationcenter(object, optional): Map center {lat, lng}zoom(integer, optional): Zoom level 1-20
Usage Guidelines
- ALWAYS call show_on_map after collecting location data — visual maps are the primary value.
- Preserve
place_idfrom search results for use withget_place_details. - Infer transportation mode from context (driving for long distances, walking for short ones).
- Show 1-5 most relevant places per map.
Show full SKILL.md (271 more words)Show less
Response Pattern
Follow the Text -> Map -> Text sequence. Do NOT call show_on_map in parallel with other tool calls.
- Text: Introduce what you'll show
- Map: Call
show_on_mapto display results - Text: Explain the results
Multiple categories: Use separate maps in sequence — never parallel.
Output Rules
The map renders visually from the tool result — never echo or paraphrase the raw map_data JSON (type, center, zoom, markers, lat/lng) in your text response. Describe places in natural language only (names, ratings, brief notes). The user already sees the map; do not repeat its contents.
UI Guidance (from tools-config)
When to Use:
- ALWAYS call show_on_map after collecting location data - visual maps are the primary value
- Use for: search results, directions, comparisons, or any location-based query
Response Pattern (DO NOT call show_on_map in parallel):
- Text: Introduce what you'll show ("Here are the top restaurants:")
- show_on_map: Display the map
- Text: Explain the results ("These restaurants are rated 4.5+ stars")
Example:
- "Let me show you restaurants in Gangnam:" → show_on_map(restaurants) → "All 5 restaurants above have excellent reviews."
- For multiple categories: Text → Map 1 → Text → Map 2 (sequential, not parallel)
Map Organization:
- Separate maps for different categories (restaurants vs hotels)
- Show 1-5 most relevant places per map
Tool Selection:
- search_places: text queries | search_nearby_places: coordinates
- Preserve place_id for details | Infer direction mode from context
Output Rules:
- The map is rendered visually by the UI from the tool result. NEVER echo, paraphrase, or include the raw map_data JSON (coordinates, markers, zoom, type) in your text response.
- Describe locations in natural language only (names, ratings, brief notes). The user already sees the map — do not repeat its contents.
© aws-samples, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in chatbot-app/agentcore/skills/google-maps of aws-samples/sample-strands-agent-with-agentcore.
Open the folder on GitHubat commit 6dd9d13
Compare with similar skills
Google Maps next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Google Maps this skillaws-samples/sample-strands-agent-with-agentcore | 194 | — | ~1.4k | Automated safety check: Pass | MIT | |
| MCP Google Map Projectcablate/mcp-google-map | 466 | — | ~774 | Automated safety check: Pass | MIT | |
| Antv L7antvis/L7 | 4.1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Google Maps ScraperMahanaicoach/google-maps-scraper-kit | 1.3k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Thematic Mapzzhonglei/GeoCode-Release | 186 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Rs Paper Pipelinethinson/RS-PaperClaw | 225 | — | ~319 | Automated safety check: Pass | MIT |
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Comprehensive guide for AntV L7 geospatial visualization library.
Google Maps Scraper
Mahanaicoach/google-maps-scraper-kit
Scrape Google Maps business listings (name, address, phone, website, rating, reviews, lat/lng, hours, emails) via the local gosom google-maps-scraper REST API.
Thematic Map
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Create well-designed maps that follow standard cartographic conventions.
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Track, retrieve, screen, and synthesize research frontiers for geospatial AI, remote sensing big data, and transferable computer vision methods.
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Related
Works with
Categories
Questions about Google Maps
What does Google Maps do?
Place search, directions, geocoding, and interactive maps. An agent skill from aws-samples/sample-strands-agent-with-agentcore. Google Maps is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization.
When should I use Google Maps?
Google Maps fits situations like: tasks that involve Geospatial analysis.
How do I install Google Maps in Claude Code?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a claude-code`. Or copy the skill folder (chatbot-app/agentcore/skills/google-maps in aws-samples/sample-strands-agent-with-agentcore) into .claude/skills/google-maps in your project. Claude Code loads it when a task matches its description.
How do I install Google Maps in Codex?
Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a codex`. Or copy the skill folder (chatbot-app/agentcore/skills/google-maps in aws-samples/sample-strands-agent-with-agentcore) into .agents/skills/google-maps in your project. Codex loads it when a task matches its description.
Can I use Google Maps in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill google-maps -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-maps, .gemini/skills/google-maps, .github/skills/google-maps and .opencode/skills/google-maps in your project.
What does Google Maps need to run?
SKILL.md names no scripts, command-line tools or credentials: Google Maps is instructions for the agent only.
Does Google Maps access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Google Maps safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Google Maps use?
Google Maps is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Google Maps use?
About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Google Maps?
Skills that share tags, products or a category with Google Maps: MCP Google Map Project (cablate/mcp-google-map, 466 stars), Antv L7 (antvis/L7, 4.1k stars), Google Maps Scraper (Mahanaicoach/google-maps-scraper-kit, 1.3k stars) and Thematic Map (zzhonglei/GeoCode-Release, 186 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Google Maps?
aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-strands-agent-with-agentcore, which has 194 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 6, 2026.
Source: aws-samples/sample-strands-agent-with-agentcore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.