Google Maps MCP Server
🗺️ Google Maps MCP サーバー (gmaps-mcp)
公式の MCP Python SDK を使用して構築された、自己完結型で軽量な Google Maps Model Context Protocol (MCP) サーバーです。AI エージェント(Claude Desktop、Cursor、Cline、Antigravity など)に、構造化された検索結果、場所の詳細、評価、連絡先情報、座標、Google Maps URL を提供します。
⚡ 主な機能
ワンコマンドインストール: 手動で環境を設定することなく、
uvxを使用してどこでも即座に実行できます。100% 自己完結型: スクレイパーエンジンは、
asyncioとaiohttpを介してプロセス内でネイティブに統合されています。外部サブプロセス、ヘッドレスブラウザ、API キーは必要ありません。豊富な構造化された場所データ: プレイス ID、ビジネス名、カテゴリ、住所、ローカルおよび国際電話番号、ウェブサイト URL、座標(
lat/long)、星評価、レビュー数、Google Maps への直接リンクを返します。Stdio および Streamable HTTP: デスクトップ AI クライアント向けのネイティブ
stdioサポートと、リモート/コンテナ化されたデプロイメント向けのstreamable-httpを備えています。クリーンな JSON-RPC: すべての内部ログは厳密に
stderrにパイプされ、stdio プロトコルストリームを 100% 準拠に保ちます。
Related MCP server: Google Maps MCP Server
🚀 クイックスタート
uvx を使用して直接実行します:
# Run directly from GitHub repository
uvx --from git+https://github.com/<your-username>/gmaps-mcp.git gmaps-mcpまたはローカルクローンから:
uv run gmaps-mcp🛠️ MCP クライアント設定
1. Claude Desktop
以下を claude_desktop_config.json(macOS の場合は ~/Library/Application Support/Claude/claude_desktop_config.json、Windows の場合は %APPDATA%\Claude\claude_desktop_config.json)に追加します:
{
"mcpServers": {
"google-maps": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/<your-username>/gmaps-mcp.git",
"gmaps-mcp"
]
}
}
}ローカルフォルダから実行する場合:
{
"mcpServers": {
"google-maps": {
"command": "uv",
"args": [
"run",
"--directory",
"/absolute/path/to/gmap-mcp",
"gmaps-mcp"
]
}
}
}2. Cursor IDE
Cursor で、Settings → Features → MCP を開くか(またはプロジェクト内の .cursor/mcp.json を編集します):
{
"mcpServers": {
"google-maps": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/<your-username>/gmaps-mcp.git",
"gmaps-mcp"
]
}
}
}3. Cline(VS Code 拡張機能)
Cline 設定(cline_mcp_settings.json)内:
{
"mcpServers": {
"google-maps": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/<your-username>/gmaps-mcp.git",
"gmaps-mcp"
]
}
}
}🧰 利用可能なツール
1. search_google_maps
Google Maps でビジネス、観光スポット、サービス、ランドマークを検索します。
パラメータ | タイプ | デフォルト | 説明 |
|
| (必須) | 検索語句(例: |
|
|
| 返す結果の最大数( |
|
|
| 地域ローカライゼーション用の 2 文字の ISO 国コード(例: |
|
|
| 結果の言語コード(例: |
出力構造
{
"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
プレイス ID または名前で、特定の場所やビジネスの詳細情報を取得します。
パラメータ | タイプ | デフォルト | 説明 |
|
| (必須) | Google プレイス ID(例: |
|
|
| 2 文字の ISO 国コード(デフォルト: |
|
|
| 応答の言語コード(デフォルト: |
🌐 リモートデプロイメント(Streamable HTTP)
このサーバーは、リバースプロキシやクラウドホスティングの背後にデプロイするための最新の Streamable HTTP トランスポートをサポートしています:
# Start Streamable HTTP server on port 8000
uv run gmaps-mcp --transport streamable-http --host 0.0.0.0 --port 8000MCP エンドポイントは以下で利用可能になります:
http://<host>:8000/mcp
🧪 開発とテスト
uv を使用してユニットテストと統合テストを実行します:
# 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📦 プロジェクト構造
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📜 帰属とライセンス
スクレイパーコアは christivn/mapScraper(コミット
1b38cf3e153294e3dad2f6cb5862be0201a54065)から適応およびモジュール化されました。MIT ライセンスの下で提供されています。
Available Tools
2 toolsget_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.
| 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
| 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
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.
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.
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.
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.
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.
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.
| 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
| 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
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.
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.
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.
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.
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.
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 updates
v0.1.0- First observed
get_place_details - First observed
search_google_maps
TDQS
Scored across 2 tools
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.
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.
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.
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
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