"Answer" matching MCP servers:

This MCP server enables AI agents to submit a single technical answer along with caller-supplied concepts, accepted synonyms, and numeric requirements for deterministic, rubric-based feedback.

Enables checking AI-drafted answers to US retirement-account questions, flagging wrong facts, personal recommendations, and promissory claims with IRS or FINRA sources before they reach customers.

Enables users to ask any question and receive expert-verified answers backed by Gemini. The tool is accessible via Claude Desktop, MCP SDK clients, and a web browser.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables AI agents to query China's GB/T 47746—2026 customer-service compliance standard, providing clause-referenced answers, self-check lists, and standard metadata via MCP tools.

Enables agents to query China's GB/T 47746—2026 AI customer-service compliance standard through five clause-level tools — question listing, keyword search, full cited answers, enterprise self-check lists, and standard metadata — over a public read-only streamable-http endpoint with no API key required. Answers include clause sources so compliance questions like mandatory human-handoff scenarios can be resolved without manually paging through the 40-page standard.

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 finding information online, reading web pages, finding images, capturing screenshots, and performing multi-source research with per-answer confidence.

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

Search, filter, and sample over a million competition and olympiad math problems (AMC, AIME, IMO, Putnam, MATH, Omni-MATH) by topic, contest, year, and difficulty, and fetch any problem's LaTeX statement with its answer, hints, and solutions where available.

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.

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

Verifies factual claims against live sources and returns a verdict, confidence score, and citations for any agent to use before stating uncertain facts.

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.

Provides AI assistants with three web operations—search, fetch, and answer—through pluggable search providers including paid APIs, free tiers, self-hosted SearXNG, or keyless defaults. Enables querying with domain and recency filters, extracting page text or matching passages from URLs, and generating cited answers across multiple sources.