Google Maps (Grounding Lite)
РаботаетGoogle Maps Grounding Lite — официальный managed MCP-сервер Google Maps Platform: поиск мест с AI-саммари и координатами, погодные условия (текущие, почасовые, дневные) и упрощённый расчёт маршрутов по расстоянию и времени, без пробок и пошаговой навигации. Streamable HTTP, авторизация API-ключом с биллингом; каждый вызов инструмента — отдельное списание по SKU.
Почему этот сервер
- Search Places возвращает AI-саммари места, а не сырой JSON — агенту не нужно суммировать самому
- Lookup Weather встроен в тот же сервер — не нужен отдельный погодный MCP для геозапросов
- Compute Routes отдаёт расстояние и время в пути одним вызовом, без сборки маршрутного JSON
- Только три инструмента и без пошаговой навигации или трафика в реальном времени — сервис узкий
Примеры использования
Запрос агенту: Найди кофейни рядом с этим адресом и опиши каждую в двух словах
Результат: Агент вызвал Search Places с координатами и категорией cafe, вернул список мест с AI-саммари и ссылками на Google Maps.
Запрос агенту: Какая погода там ожидается завтра днём?
Результат: Агент вызвал Lookup Weather по координатам места, вернул дневной прогноз с температурой и осадками.
Здоровье
1 пометок за 30 дней · Последняя пометка: 25 июл. 2026 г.
Пометки по дням (30 дней)
| date | работает | частично | сломан |
|---|---|---|---|
| 2026-07-25 | 1 | 0 | 0 |
Инструменты сервера · 5
Собрано автопроверкой из tools/list — реальный список, не из описания.
compute_routesComputes a travel route between a specified origin and destination. **Supported Travel Modes:** DRIVE (default), WALK. **Input Requirements (CRITICAL):** Requires both **origin** and **destination**. Each must be provided using one of the following methods, nested within its respective field: * **address:** (string, e.g., 'Eiffel Tower, Paris'). Note: The more granular or specific the input address is, the better the results will be. * **lat_lng:** (object, {"latitude": number, "longitude": number}) * **place_id:** (string, e.g., 'ChIJOwE_Id1w5EAR4Q27FkL6T_0') Note: This id can be obtained from the search_places tool. Any combination of input types is allowed (e.g., origin by address, destination by lat_lng). If either the origin or destination is missing, **you MUST ask the user for clarification** before attempting to call the tool. **Example Tool Call:** {"origin":{"address":"Eiffel Tower"},"destination":{"place_id":"ChIJt_5xIthw5EARoJ71mGq7t74"},"travel_mode":"DRIVE"} *
lookup_weatherRetrieves comprehensive weather data including current conditions, hourly, and daily forecasts. **Specific Data Available:** Temperature (Current, Feels Like, Max/Min, Heat Index), Wind (Speed, Gusts, Direction), Celestial Events (Sunrise/Sunset, Moon Phase), Precipitation (Type, Probability, Quantity/QPF), Atmospheric Conditions (UV Index, Humidity, Cloud Cover, Thunderstorm Probability), and Geocoded Location Address. **Location & Location Rules (CRITICAL):** The location for which weather data is requested is specified using the `location` field. This field is a 'oneof' structure, meaning you MUST provide a value for ONLY ONE of the three location sub-fields below to ensure an accurate weather data lookup. 1. Geographic Coordinates (lat_lng) * Use it when you are provided with exact lat/lng coordinates. * Example: {"location": {"lat_lng": {"latitude": 34.0522, "longitude": -118.2437}}} // Los Angeles 2. Place ID (place_id) * An unambiguous string ide
resolve_maps_urlsResolves a list of Google Maps URLs into canonical Google Maps Place IDs. **When to call this tool (CRITICAL):** * Use this tool when the user provides one or more Google Maps sharing links or URLs (e.g. 'https://maps.app.goo.gl/...', 'https://www.google.com/maps/place/...', or 'https://maps.google.com/...') and you need to extract the underlying canonical Place IDs. * You can specify up to 20 URLs to resolve in a single batch request. **Input Requirements (CRITICAL):** * **`urls` (array of strings - MANDATORY):** The list of Google Maps URLs to resolve. Each URL must be a valid, single-place Google Maps URL. **Error Handling (CRITICAL):** * This is a batch processing tool. A request might return "mixed results" (e.g. some URLs resolve successfully while others fail). * The output list of `entities` is guaranteed to map 1:1 with the input `urls` indices. A failed URL resolution will result in an empty `Entity` message (no fields are set) at its corresponding index in th
resolve_namesResolves a batch list of specific location queries (landmark names or exact addresses) into canonical Google Maps Place IDs. **Input Requirements (CRITICAL):** 1. **`queries` (array of objects - MANDATORY):** A list of location queries to resolve. You may specify up to 20 queries. * **Each query object must have:** * **`text` (string - MANDATORY):** The text query representing a specific place name or address to resolve. * **Examples:** `'Googleplex, Mountain View, CA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA'`, `'Eiffel Tower, Paris'`. 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"viewport": {"low": {"latitude": [value], "longitude": [value]}, "high": {"latitude": [value], "longitude": [value]}}}` 3. **`region_code` (string - OPTIONAL):** The Unicode CLDR region code (two-letter country code, e.g., `US`, `CA`) of the user to bias the results. **Instructions f
search_placesCall this tool when the user's request is to find places, businesses, addresses, locations, points of interest, or any other Google Maps related search. **Input Requirements (CRITICAL):** 1. **`text_query` (string - MANDATORY):** The primary search query. This must clearly define what the user is looking for. * **Examples:** `'restaurants in New York'`, `'coffee shops near Golden Gate Park'`, `'SF MoMA'`, `'1600 Amphitheatre Pkwy, Mountain View, CA, USA'`, `'pets friendly parks in Manhattan, New York'`, `'date night restaurants in Chicago'`, `'accessible public libraries in Los Angeles'`. * **For specific place details:** Include the requested attribute (e.g., `'Google Store Mountain View opening hours'`, `'SF MoMa phone number'`, `'Shoreline Park Mountain View address'`). 2. **`location_bias` (object - OPTIONAL):** Use this to prioritize results near a specific geographic area. * **Format:** `{"location_bias": {"circle": {"center": {"latitude": [value], "longi
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