"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 DFW civic and property questions using official data sources without API keys.

Enables AI assistants to answer tax compliance questions (VAT, sales tax, GST) and validate EU VAT numbers in real time via the VIES registry.

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 about Finnish social benefits (Kela) by providing tools for searching, checking eligibility, and getting application steps.

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

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.

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 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.

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.

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.

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.

Provides access to official Spanish fiscal data and tools based on AEAT and BOE sources, covering income tax, VAT, and regional deductions. It enables AI assistants to answer tax-related queries and verify filing deadlines using verified information.

MCP server that searches and matches youth policies and subsidies, checks eligibility conditions against user profiles, and returns detailed reasons (eligible/ineligible/needs_more_info) to drive an agentic question-answer loop.

An MCP server that enables users to search and navigate Madison, Wisconsin municipal ordinances using a TF-IDF search index. It provides specific code sections and citations to answer questions about local regulations like building permits and zoning.

OpenLawMCP is an open-source legal AI research tool built to make AI-assisted legal research more reliable. A major problem with using AI for legal research is that it can give confident answers without showing whether the answer is grounded in real legal sources. For legal work, that creates a credibility problem. Users need answers that can be checked against actual legal material.

A unified Model Context Protocol server for Houston-area civic, transit, and flood data, joining incompatible public data systems behind workflow-oriented tools. It enables AI assistants to answer questions like 'is my route flooding right now?' by integrating sources such as TranStar, HCFWS, and the GIS hub.