"Answer" matching MCP servers:

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 questions about French administrative procedures for individuals, professionals and the self-employed using only official service-public.gouv.fr guides. Every answer returns verbatim official text with a citable link and last update date, and flags low-confidence results when nothing relevant is found.

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

Enables read-only access to the UK Companies House register, letting models answer questions about company status, ownership, filings, charges, and officers via seven purpose-built tools.

A Model Context Protocol server implementation that provides structured, AI-friendly access to eRegulations data, making it easier for AI models to answer user questions about administrative procedures.

Enables AI assistants to answer questions from curated public datasets about Dayton and Montgomery County, Ohio, with cited sources.

Enables AI assistants to answer questions about Finnish social benefits (Kela) by providing tools for searching, checking eligibility, and getting application steps.

An MCP server providing direct, citable access to Finnish legislation by retrieving statute text from Finlex open data, enabling AI assistants to answer legal queries with accurate citations.

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

Real prices people actually paid (homes, rents, fuel, energy, groceries, medicines) from official open data, with source, period, sample size and licence on every answer. Read-only, no API key.

Enables Claude Desktop and Claude Code to answer Statistics Denmark questions in plain Danish or English by searching StatBank tables, reading their metadata, and fetching the numbers through validated, sourced API queries.

This MCP server enables AI assistants to answer questions about government tenders based on the tenders' real documents, with citations to the exact document and page. It supports listing, summarizing, and querying tenders through natural language.

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.

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.

Lets AI assistants discover public Socrata open-data portals, search their datasets, inspect schemas, and run bounded read-only SoQL queries to answer questions with live government data. All access is strictly read-only and results come straight from the publisher's portal.

An MCP server that lets an LLM answer a pharmacist's question about drug shortages by normalizing drug names, finding pharmacologic alternatives, and checking their shortage status using public FDA and NLM data.

Any Norwegian company's revenue, profit, debt and who sits on its board, which companies are going bankrupt, who owns what through group structures, plus house prices, mortgage rates, wages and inflation straight from Statistics Norway. Official registers, no API keys, every answer cites its source.

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 users to answer California drinking water questions about public water systems, SAFER risk/violation status, source-water chemistry, school lead sampling, and latest tap/treated-water results by ZIP code or water system ID, using curated Databricks Gold views over State Water Board open data.