"Using a search engine to find evidence to answer a question" matching MCP servers:

Enables natural-language discovery of available car parking, including searching by area, location, price, and viewing parking details and reviews.

Enables web and local search capabilities using the Brave Search API, allowing users to perform general web searches and find local businesses with ratings, hours, and contact info.

Allows agents to get the current location of the user based on their IP Address or to fetch the location of any IP Address.

Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.

MCP server for interacting with Google Earth Engine, enabling geospatial analysis such as dataset visualization, statistics computation, and search via AI assistants.

Enables querying Sentinel-1/2, Landsat Collection 2, NAIP, and Copernicus DEM imagery by area and date, returning item IDs, footprints, cloud cover, and cloud-optimized GeoTIFF URLs.

Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.

Enables Claude to search for geo entities such as cities, airports, and hotels using Skyscanner's Tellus API. Supports entity lookup, search by type/location, fetching children, and nearby entities.

Enables satellite imagery analysis through Google Earth Engine, allowing users to search datasets, calculate vegetation indices like NDVI, filter collections by location and date, and export imagery to cloud storage. Supports major satellite datasets including Sentinel-2, Landsat, and MODIS for applications like agriculture monitoring and deforestation tracking.

Enables local AI-powered retail location intelligence by exposing database schema and spatial query tools to LLMs. It supports executing validated SQL, retrieving example spatial analyses, and generating strategic business insights from retail siting data.

An MCP server that lets users find nearby shops and POIs around a location and find targets such as gas stations or charging points within a given radius along a driving route, using the Amap (Gaode) Web Service API with built-in API key entry and validation.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

An MCP server for nearby place searches with IP-based location detection.

Provides Japanese postal code to address lookup functionality that can be integrated with AI assistants and other MCP clients.

Enables AI agents to retrieve a full UK postcode report, perform fast geography lookups, compare up to five postcodes side by side, and search or fetch the underlying open dataset registry through the Model Context Protocol.

Enables interaction with Apple's Find My network to track devices, check battery status, and manage device information. Provides secure authentication and caching for efficient access to your Apple devices' location and status data.

Enables users to find books by keyword, ISBN, or author and check which branches hold copies of them and whether those copies are currently available for loan or when they are due back. Currently covers Shanghai's interlinked public library network of 900+ locations, with a design open to additional cities.

Provides a suite of tools for location retrieval and multi-modal route planning within China using the Baidu Maps API. It enables AI agents to perform address-to-coordinate conversions, nearby place searches, and calculate directions for driving, transit, walking, and cycling.

Enables intuitive property searches in San Francisco with an interactive split view of listing cards and a map, supporting local filtering, saving, and map navigation through view tools.

Enables spatial analysis of large remote GeoParquet files directly from object storage without downloading or importing data, using DuckDB's predicate and projection pushdown to answer queries efficiently.