"How to allow an LLM to ask questions to a user" matching MCP connectors:

MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.

For queries a model can't confidently place: resolves or declines. Built to decline, not guess.

A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.

MCP server for German & EU law. Verified, citable legal context for any LLM. Daily updates from official sources, hosted in Germany

AI-first file sharing and collaboration. 251 tools give agents a full workspace: file storage, branded shares, comments, workflows, and built-in RAG. 50GB free, no credit card.

**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai

Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.

Know whether an AI agent should REUSE or REFETCH a URL before retrieving it again.

Independent fact-checking for AI answers: a verdict and sources for every claim.

Collaborative, cache-first web search for agents — cited answers from a shared live-web pool.

Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.

Durable, versioned memory for AI assistants. Remote memory needs a Pastepile subscription.

Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Create your digital twin: a public page that answers from your own material, with citations.

LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.

Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.

Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.

Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.

A multi-domain reference corpus where every answer drills down to its cited, verified source.