"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.

Enables AI assistants to answer DFW civic and property questions using official data sources without API keys.

Exposes Victoria's public transport (PTV) GTFS timetable data as MCP tools, allowing LLMs to answer natural-language questions about routes, stops, and departure times.

Enables AI assistants to answer questions about Japan's railway network with accurate track-connection data, including station neighbors and local subgraphs for all 9,043 stations nationwide.

Enables AI assistants to answer real-world weather questions using live Open-Meteo data, with tools for current conditions, umbrella reasoning, outdoor suitability, and city comparisons.

Provides programmatic access to official German Bundestag parliamentary data, enabling LLMs to answer questions about legislation, voting records, and members.

Enables assistants to directly query a large community archive, including user activity, thread development, and front-page history over decades. It provides read-only access to answer questions about who is most active and how the community has changed.

This MCP server provides weather tools for current conditions, forecasts, and travel recommendations using the National Weather Service API, enabling agents to answer weather-related questions.

Provides real-time weather data, forecasts, alerts, and travel recommendations for US locations using the National Weather Service API, enabling agents to answer weather-related queries.

Exposes historical hourly weather data (temperature, humidity, wind chill, cloud cover) via the free Open-Meteo API, requiring no API key, and lets Claude answer questions about past weather conditions.

Provides normalized SEC EDGAR data (financials, filings, insider trades) to AI agents via MCP.

MCP server for querying Seoul's official air quality data, including real-time and hourly measurements by district. Enables AI assistants to answer questions about fine dust and air pollution using public data from Seoul Open Data Plaza.

Provides real-time weather data via 12 tools (current weather, forecasts, air quality, umbrella advice, etc.) using Open-Meteo and FastMCP, enabling LLMs to answer weather-related queries.

Enables AI assistants to answer plain-language questions about world economics—GDP, population, GDP per capita, regional totals, currency conversion, and rankings—using live public data sources with fully traceable reconciliation and exclusions.

Enables AI agents to answer questions about Japanese long-term care supply and demand, such as whether a municipality has enough special nursing homes, using public data.

Source-backed hardware end-of-life (EOL/EOSL) lookups by part number for enterprise gear — support status, end-of-sale and end-of-support dates, with the vendor's own bulletin URL on every answer. Unknown parts return found:false, never a guess.

Ask Claude "What's the unemployment rate in NSW?" and get a real answer. Wraps the Australian Bureau of Statistics API with plain-English tools and curated mappings for 10 economic indicators (unemployment, inflation, wages, GDP, housing, population).

Enables MCP-compatible agents to answer open questions about NHS provider performance using live waiting-time data from RTT and My Planned Care, supplemented by CQC quality ratings.

Enables AI assistants to answer healthcare REIT portfolio questions with deterministic, provable answers grounded in Omega Healthcare 10-K filings and CMS nursing home data, including status, caveats, and provenance.