"Answer Engine Optimization (AEO) Audit Guide" matching MCP servers:

Connects users to mental health counseling centers and welfare programs based on location and situation, prioritizing crisis resources.

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

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.

Discovers Korean national heritage, resolves designation numbers, and creates heritage-focused trip plans using official National Heritage Administration data.

An AI-powered travel assistant connected to Claude via MCP that helps users plan Amazon Rainforest trips by providing directions, hotel recommendations, adventure spots, cultural sites, and travel precautions.

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.

Enables AI agents to answer civic questions about Virginia state, county, and municipal public data, including zoning, parcel, boundary, and Code of Virginia lookups, with provenance on every answer.

An MCP server that wraps the U.S. Army Corps of Engineers (USACE) Institute for Water Resources (IWR) River Mile Marker ArcGIS Feature Service, allowing LLMs to locate river mile markers on navigable U.S. rivers and answer 'what river mile am I at?' questions.

A read-only MCP server for OpenStreetMap offering geocoding, routing, route optimization, isochrones, and POI search—requiring no API key and built for AI travel planning.

Enables discovery and scoring of independent local businesses by inverting algorithmic rankings that favor chains, using Google Places API with an opinionated independence-scoring engine.

An MCP server exposing Greater Helsinki public transport data from Digitransit, enabling LLM hosts to answer live transit queries, plan journeys, and fetch stop departures via natural language.

Unified place search and geocoding over OpenStreetMap, Google, and your own CSV data. Provider fallback, multi-provider merge + dedup, cost budgets, and a policy engine. Works with zero API keys. Tools: search_places, get_place, geocode_address, reverse_geocode, list_geo_providers.

An MCP server that provides location-based services using Amap APIs, enabling AI assistants to answer navigation queries by resolving addresses, converting coordinates, and comparing walking, driving, and transit routes.

A private location archive with an MCP server, letting an agent answer questions about your past stays, trips, cities, and travel stats from data in your own Postgres.

Enables AI assistants to interact with 3DCityDB v5 through natural language, dynamically resolving object classes, properties, and codelists to answer spatial questions and execute SQL queries on CityGML data.

Enables LLMs to answer everyday questions about Charlotte, NC using official public data from the city's open data portal, including crime, 311 requests, zoning, transit, city services, and government transparency.

Secure, local-first MCP server exposing ArcGIS Pro's ArcPy engine over stdio JSON-RPC.

Enables AI agents to query verifiable physical-world ground truth for any point on Earth — water availability, seismic and space-weather hazard, ground stability, and resource indications — with every answer backed by a Bitcoin-anchored provenance record that can be independently verified. It also lets agents check whether an Earth-science hypothesis has already been tested, list documented nulls and retractions, and run bounded controlled tests that return UNTESTABLE rather than fabricate a result.

Provides Swiss Aare river swimming data including water temperature, flow rates, safety assessments, and forecasts. Enables AI assistants to answer questions about current conditions, compare cities, and provide safety recommendations based on official BAFU thresholds.