"Answer" matching MCP servers:

A Model Context Protocol (MCP) server that gives your AI assistant the power to convert Markdown into 14 professional document formats — PDF, DOCX, HTML, LaTeX, CSV, JSON, XML, XLSX, RTF, PNG, and more. Stop copy-pasting. Let the AI do the exporting.

Provides tools for Bazi (Chinese astrology) chart calculation and analysis, enabling LLMs to generate accurate birth charts, determine patterns, and answer follow-up questions based on actual calculations rather than model knowledge.

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 high-trust sales questions with cited, vetted facts or explicit refusals, grounded in a local knowledge base.

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.

MCP server exposing memory search, index, and stats tools for agents, with honesty guards to prevent re-litigation of settled decisions.

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).

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

MCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.

Pure-Python MCP server for type-faithful calculation — evaluate expressions under fixed-point, IEEE-754 double, or exact rational arithmetic, with every answer labelled with its precision (exact vs inexact).

A small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.

A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.

An MCP server that uses Playwright to scrape Israeli weather forecasts from weather2day.co.il by automating a real browser, enabling an LLM to answer questions about current conditions and hourly forecasts for Israeli cities.

Provides AI assistants with direct access to Jamf official documentation, enabling them to answer Jamf-related questions by searching, retrieving articles, and browsing product documentation.

An MCP server that provides live astronomical ephemeris data (moon phases, zodiac transits, Mercury retrogrades, sabbats, and more) via the Moon Ritual Library API, enabling Claude and other agents to answer cosmic-weather questions with accurate, server-computed calculations.

An MCP server that exposes a dbt project's run state as tools, enabling AI assistants to answer questions like 'is the warehouse healthy?' or 'what broke and why?' via plain English, using read-only access to dbt artifacts and warehouse data.

Verifiable document intelligence for AI agents. Extract text, tables, and structured data from PDFs and URLs. Summarize, answer questions, check claims, and translate — all with cited evidence. Store tamper-evident evidence bundles with cryptographic signatures and on-chain attestation via Base L2. Cross-document semantic search and Q&A across named collections. Pay per call with USDC

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.

A read-only MCP server for the Qualys PCI Merchant API that lets LLM assistants answer questions about PCI compliance posture, such as which hosts are failing PCI or listing high findings.