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Google Maps MCP Server

Name: Google Maps MCP Server
Author: devsanthoshmk

by devsanthoshmk

Overview Schema Source Related Servers Discussions Admin

Python

Hybrid

🗺️ Google Maps MCP 服务器 (`gmaps-mcp`)

MCP 版本 Python 许可证: MIT

一个自包含、轻量级的 Google Maps 模型上下文协议 (MCP) 服务器，基于官方 MCP Python SDK 构建。它为 AI 代理（如 Claude Desktop、Cursor、Cline 和 Antigravity）提供结构化的搜索结果、地点详情、评分、联系信息、坐标和 Google Maps 链接。

⚡ 主要特性

一键安装：通过 uvx 在任何地方即时运行，无需手动配置环境。
100% 自包含：爬虫引擎通过 asyncio 和 aiohttp 原生集成在进程中——无需外部子进程、无头浏览器或 API 密钥。
丰富的结构化地点数据：返回地点 ID、商家名称、类别、地址、本地和国际电话号码、网站 URL、坐标（lat/long）、星级评分、评论数量以及直接的 Google Maps 链接。
Stdio 和可流式 HTTP：为桌面 AI 客户端提供原生 stdio 支持，为远程/容器化部署提供 streamable-http 支持。
干净的 JSON-RPC：所有内部日志严格输出到 stderr，确保 stdio 协议流 100% 合规。

Related MCP server: Google Maps MCP Server

🚀 快速开始

直接使用 uvx 运行：

# Run directly from GitHub repository
uvx --from git+https://github.com/<your-username>/gmaps-mcp.git gmaps-mcp

或者从本地克隆运行：

uv run gmaps-mcp

🛠️ MCP 客户端配置

1. Claude Desktop

将此内容添加到您的 claude_desktop_config.json 文件中（macOS 上位于 ~/Library/Application Support/Claude/claude_desktop_config.json，Windows 上位于 %APPDATA%\Claude\claude_desktop_config.json）：

{
  "mcpServers": {
    "google-maps": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/<your-username>/gmaps-mcp.git",
        "gmaps-mcp"
      ]
    }
  }
}

如果从本地文件夹运行：

{
  "mcpServers": {
    "google-maps": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/gmap-mcp",
        "gmaps-mcp"
      ]
    }
  }
}

2. Cursor IDE

在 Cursor 中，打开 设置 → 功能 → MCP（或编辑项目中的 .cursor/mcp.json）：

{
  "mcpServers": {
    "google-maps": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/<your-username>/gmaps-mcp.git",
        "gmaps-mcp"
      ]
    }
  }
}

3. Cline（VS Code 扩展）

在 Cline 设置（cline_mcp_settings.json）中：

{
  "mcpServers": {
    "google-maps": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/<your-username>/gmaps-mcp.git",
        "gmaps-mcp"
      ]
    }
  }
}

🧰 可用工具

1. `search_google_maps`

在 Google Maps 上搜索商家、景点、服务和地标。

参数	类型	默认值	描述
`query`	`string`	(必填)	搜索词（例如 `"coffee in Koramangala Bangalore"`、`"dentists near Connaught Place Delhi"`、`"Italian restaurants in New York"`）。
`limit`	`integer`	`10`	返回的最大结果数（`1` 到 `50`）。
`country`	`string`	`"in"`	用于区域本地化的两位 ISO 国家代码（例如 `"in"`、`"us"`、`"gb"`、`"de"`、`"fr"`、`"ae"`）。
`language`	`string`	`"en"`	结果的语言代码（例如 `"en"`、`"hi"`、`"es"`、`"fr"`）。

输出结构

{
  "query": "coffee in Koramangala Bangalore",
  "country": "in",
  "language": "en",
  "total_results": 2,
  "places": [
    {
      "place_id": "ChIJ80IECk8UrjsRqCffDjE09lw",
      "name": "Dyu Art Cafe",
      "category": "Art cafe",
      "address": "KHB MIG Colony, 1st Cross Rd, Koramangala 8th Block, Bengaluru, Karnataka 560095",
      "phone": "096113 19774",
      "international_phone": "+91 96113 19774",
      "website": "http://www.dyuartcafe.com/",
      "domain": "dyuartcafe.com",
      "latitude": 12.9373076,
      "longitude": 77.6176544,
      "rating": 4.4,
      "review_count": 21440,
      "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJ80IECk8UrjsRqCffDjE09lw"
    }
  ]
}

2. `get_place_details`

通过地点 ID 或名称检索单个特定地点或商家的详细信息。

参数	类型	默认值	描述
`place`	`string`	(必填)	Google 地点 ID（例如 `"ChIJ12k5kG_iDDkRwuzibQwYZ4M"`）或确切的商家/地标名称（例如 `"AIIMS New Delhi"`）。
`country`	`string`	`"in"`	两位 ISO 国家代码（默认：`"in"`）。
`language`	`string`	`"en"`	响应的语言代码（默认：`"en"`）。

🌐 远程部署（可流式 HTTP）

服务器支持现代 可流式 HTTP 传输，用于部署在反向代理或云托管之后：

# Start Streamable HTTP server on port 8000
uv run gmaps-mcp --transport streamable-http --host 0.0.0.0 --port 8000

MCP 端点将在以下地址可用： http://<host>:8000/mcp

🧪 开发与测试

使用 uv 运行单元测试和集成测试：

# Run pytest test suite
uv run --with pytest --with pytest-asyncio pytest tests/ -v

# Run the server locally with debug logs
uv run gmaps-mcp --log-level DEBUG

📦 项目结构

gmap-mcp/
├── pyproject.toml              # Packaging & dependencies (PEP 517/621)
├── README.md                   # Setup guide and MCP client docs
├── src/
│   └── gmaps_mcp/
│       ├── __init__.py         # Package entry
│       ├── schemas.py          # Pydantic data models (Place, Search, Details)
│       ├── server.py           # MCPServer instance & CLI runner
│       ├── tools.py            # MCP Tool definitions & detailed descriptions
│       └── scraper/
│           ├── __init__.py     # Scraper API
│           └── crawler.py      # Async Google Maps parser & extraction engine
└── tests/
    ├── test_schemas.py         # Schema tests
    ├── test_crawler.py         # Parser unit tests
    └── test_server.py          # MCP Server registration & tool calling tests

📜 归属与许可证

爬虫核心改编并模块化自 christivn/mapScraper（提交 1b38cf3e153294e3dad2f6cb5862be0201a54065）。
基于 MIT 许可证 授权。

Available Tools

2 tools

get_place_detailsA

Retrieve detailed information for a single specific Google Maps place or business. Looks up a place using its unique Google Place ID (e.g., 'ChIJ...' or 'place_id:ChIJ...') or specific landmark/business name. Returns complete structured details including address, phone number, website, rating, coordinates, and Google Maps URL.

ParametersJSON Schema

Name	Required	Description	Default
`place`	Yes	The place identifier to fetch details for. Can be either: 1. A Google Place ID (e.g., 'ChIJ12k5kG_iDDkRwuzibQwYZ4M' or 'place_id:ChIJ...') 2. An exact place / business name and location (e.g., 'AIIMS New Delhi' or 'Taj Mahal Palace Mumbai').
`country`	No	Two-letter ISO country code for region localization (default: 'in').	in
`language`	No	Language code for the response (default: 'en').	en

Output Schema

ParametersJSON Schema

Name	Required	Description
`found`	No	Whether the place was successfully found
`place`	No	The retrieved place object if found, otherwise null
`query_or_id`	Yes	The place query or Place ID searched for

TDQS

A4.2/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses the lookup behavior (by ID or name) and the return fields (address, phone, etc.), but does not mention rate limits, authentication requirements, or what happens if the place is not found. Adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the main purpose, and each sentence adds essential information. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity, the description covers the key purpose, parameter usage, and return value hints. The presence of an output schema reduces the need to describe return values. Minor gaps exist (e.g., error behavior), but overall it is sufficiently complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds value by explaining the two formats for the 'place' parameter (Google Place ID vs. name/location), which goes beyond the schema's description. This additional context justifies a 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the verb 'retrieve' and the resource 'detailed information for a single specific Google Maps place or business'. It distinguishes from sibling tool 'search_google_maps' by emphasizing single-place lookup vs. searching.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use this tool (to get details for a known place via ID or name) and implicitly distinguishes from searching. It does not explicitly state when not to use it or mention alternatives beyond the sibling context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_google_mapsA

Search Google Maps for local businesses, places, points of interest, and services. Returns structured place data including business name, Google Place ID, category, formatted street address, phone numbers, website URL, geo-coordinates (latitude/longitude), star rating, total review count, and direct Google Maps URL.

ParametersJSON Schema

Name	Required	Description	Default
`limit`	No	Maximum number of place results to return (between 1 and 50, default is 10).
`query`	Yes	The search query for Google Maps. Can be a business category, specific place name, service, or landmark along with a location. Examples: 'coffee shops in Koramangala Bangalore', 'dentists near Connaught Place Delhi', 'Italian restaurants in Bandra Mumbai', 'hospitals in Hyderabad', 'electricians near Indiranagar', 'museums in London'.
`country`	No	Two-letter ISO 3166-1 alpha-2 country code to localize search results and map boundaries. Default is 'in' (India). Other examples: 'us' (United States), 'gb' (United Kingdom), 'ca' (Canada), 'au' (Australia), 'de' (Germany), 'fr' (France), 'sg' (Singapore), 'ae' (UAE).	in
`language`	No	Language code for the results (e.g. 'en' for English, 'hi' for Hindi, 'es' for Spanish, 'fr' for French, 'de' for German, 'ja' for Japanese). Default is 'en'.	en

Output Schema

ParametersJSON Schema

Name	Required	Description
`query`	Yes	The search query that was executed
`places`	No	List of matched Google Maps places
`country`	Yes	The ISO 3166-1 alpha-2 country code used (e.g., 'in', 'us')
`language`	Yes	The language code used for results (e.g., 'en', 'hi')
`total_results`	Yes	Number of places returned in this response

TDQS

A3.9/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It states it returns structured place data listing 10 fields, which is helpful. However, it does not disclose potential rate limits, API quota implications, or any constraints on search frequency or result freshness. The behavioral disclosure is adequate but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the main action. It then lists the return fields, which is useful but slightly verbose for a search tool. It earns its place without unnecessary fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (4 params, 1 required, no nested objects) and presence of an output schema, the description is fairly complete. It explains the search scope and return fields. It could be improved by noting that results are limited by Google's ranking (not just the limit parameter) and how to formulate effective queries beyond the examples.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds no parameter-level detail beyond what the schema already provides. It lists the return fields but not how parameters affect them. Since the schema is already thorough, no penalty is applied.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verbs ('Search') and resources ('Google Maps for local businesses, places, points of interest, and services'), clearly distinguishing it from its sibling tool 'get_place_details' which would provide details on a specific place.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is for broad searches (businesses, places, POIs), and the sibling tool name 'get_place_details' suggests the alternative for specific place info. However, no explicit when-to-use or when-not-to-use guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

2 tool updatesv0.1.0Aug 18, 2026
- First observedget_place_details
- First observedsearch_google_maps

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.7/5.0

Scored 2026-08-18 14:45 across 2 tools

Disambiguation4/5

The two tools have distinct purposes: search_google_maps finds places by query, and get_place_details retrieves details for a known place ID. There is slight overlap in the returned fields, but the use cases are clearly different.

Naming Consistency4/5

Both tools use a clear verb_noun pattern (search/get + google_maps/place_details). The naming is consistent, though 'get_place_details' could be more symmetrical as 'get_google_maps_place' for perfect parity.

Tool Count2/5

Only two tools for a Google Maps server is very limited. Maps APIs typically support additional operations like directions, geocoding, or place photos, so the tool count feels too small for the implied scope.

Completeness2/5

The core search and detail retrieval are present, but critical operations like navigation (directions), geocoding (address to coordinates and reverse), and place photo fetching are missing, creating significant gaps for common map-related tasks.

Maintenance

ActivitySlowing

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

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MIT

🗺️ Google Maps MCP 服务器 (gmaps-mcp)

⚡ 主要特性

🚀 快速开始

🛠️ MCP 客户端配置

1. Claude Desktop

2. Cursor IDE

3. Cline（VS Code 扩展）

🧰 可用工具

1. search_google_maps

输出结构

2. get_place_details

🌐 远程部署（可流式 HTTP）

🧪 开发与测试

📦 项目结构

📜 归属与许可证

Available Tools

Output Schema

TDQS

Output Schema

TDQS

Tool Schema Changelog

TDQS

Maintenance

Resources

Related MCP Connectors

Related MCP Servers