"Using RAG to Provide Documentation to LLMs" matching MCP connectors:
Matching Connector Tools:
Bounded KVP, RAG search, and wipe receipts for agent jobs over remote MCP
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.
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
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.
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
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Free MCP API to create AI chat personas for websites — upload knowledge, search, and chat
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.
Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
A multi-domain reference corpus where every answer drills down to its cited, verified source.