"Answer" matching MCP servers:

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.

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.

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.

Enables LLMs to answer plain-English questions about Elite Dangerous grounded in local journal files and public galaxy data from EDDN, EDSM, Spansh, and Inara, including location, ship loadout, station searches, colonisation candidates, and cargo shopping lists.

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.

Provides weather alerts and forecasts via the National Weather Service API, enabling Claude to answer weather-related queries.

Enables an AI agent to ask your phone for its current location on demand with consent, via a self-hosted relay and OAuth instead of API keys. The relay requests a fresh GPS fix and returns the answer without keeping location history.

Exposes eighteen garden-planning tools to AI agents over stdio, enabling crop calendar and planting-window lookups, companion planting graphs, crop rotation and succession planning, pest and disease intelligence with beneficial-insect cross-references, and USDA zone plus climate classification. All data is curated and served offline, so agents can answer climate-aware scheduling questions without live API calls.

Enables AI assistants to answer plain-language queries about official real estate data in Germany and Austria, covering cadastral parcels, zoning plans, land values, buildings, terrain, 3D models, aerial images, and property listings. Parcel and listing results link to map views with outlines, plans, buildings, and aerial imagery.

Enables agents to search and retrieve live local happenings in New York City — music, theater, comedy, film, art, sports, festivals, markets, food and drink, classes, tours and nightlife — each with dates, times, prices, booking links and images. Two tools, search_directions and get_details, let assistants answer time-sensitive questions about what is happening nearby and return bookable results.

Enables AI assistants to shortlist London neighbourhoods and assess homes and listings, drawing on official open data for recorded sale prices, rents, crime, schools, flood risk, noise and commute times. Every answer returns a cited evidence envelope with confidence, sources, licences and caveats.

Enables querying saved BGC café records through a validated search tool that filters branches by Wi-Fi, customer power outlets, and required drinks, returning only supported matches with their sources and dates while keeping unknowns separate. It lets OpenCode or any MCP client discover and call the search directly instead of relying on an unsupported natural-language answer.

Verifiable geospatial tools for AI agents: geodesic distance, topology, geocoding, elevation, isochrones and Overture Maps places and buildings. Every answer carries its source, licence and units.

Provides weather reports for Zhongshan District, Taipei, Taiwan and other Taiwanese cities using the Open-Meteo API, enabling AI assistants to answer weather queries in natural language.