"Answer" matching MCP servers:

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.

Enables sending one identical brief to multiple LLMs in parallel and returning every answer verbatim, unmerged, unranked, and unsynthesized.

Enables AP analysts to find out why an Oracle Fusion Cloud ERP invoice is not paying by pulling the invoice, its holds, accounting period status, and budgetary control results into one read-only answer with resolution steps and owning teams. It returns funds statuses and failure reasons, reporting a balance only when Oracle Budgetary Control supplies one and marking numeric fields unavailable otherwise.

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.

Enables production-grade answer verification for LLM agents by independently re-checking answers with a configurable verifier model, enforcing confidence policies, and producing Ed25519-signed, auditable verification results with optional web search and knowledge-base evidence.

A read-only MCP server that lets a Claude chat explore your local repository and answer questions about it, returning synthesized answers with file:line references.

Enables version-aware retrieval over the Neutrinos documentation corpus using hybrid BM25/dense search, reranking, and link-graph expansion to answer queries accurately for the user's specific product version.

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.

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

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.

A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.

A Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.

Enables AI clients to answer questions about a signed-in host's Partelisto data, including arrivals, check-in status, SES.HOSPEDAJES submission state, and plan usage, and with granted permission to resend a guest's check-in link.

Enables language models to read FortiGate/FortiOS firewalls and answer operational questions about firewall policies, network configuration, and live client state. Provides question-shaped diagnostic tools for reference checks, configuration searches, device lookups, routing, DHCP, ARP, wireless clients, and multi-appliance targeting without allowing configuration changes.

Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.

An MCP server that exposes tools for sub-agent style reasoning across multiple LLM providers, enabling delegation of prompts to various models and running critique loops, debates, red-teaming, and answer ranking.

Enables Claude to answer questions with official Peruvian banking, pension-fund, and insurance statistics, including delinquency, solvency, market share, fees, profitability, and rankings, while citing the bulletin, period, and source spreadsheet for each figure.

Enables AI assistants to search, retrieve, and browse Markdown documentation in a local folder, then answer questions with cited sources.

Lets Claude Desktop, Claude Code, Cursor, and other MCP clients send messages to any external AI bot over an HTTP webhook and fetch the bot's answer back into the chat. Replies can arrive in the webhook response body, by polling a reply URL, over an SSE stream, or by posting to a local inbox, with tools for sending, reading, and waiting on threaded replies.

Enables searching LOINC codes and retrieving detailed information including panel members and answer options via the LOINC Search API.