Hey HN,<p>We just put a fully managed Hosted MCP Server in front of our production-grade RAG stack. It solves the two things (will talk about that at end) that kept biting us (and most dev teams) when wiring agents to private data.<p>How does it work? (# 30-second flow)<p>→ CustomGPT Console → Deploy → MCP → Enable → Grab the generated endpoint + JSON schema → Add to MCP aware client<p>Point any MCP-aware tool (e.g. dozens of Agentic AI and workflow tools like n8n and Zapier; IDEs like Cursor; ChatGPT w/ MCP plugin, Anthropic’s Claude, etc.) at the endpoint.<p>So it's basically bringing RAG to MCP.<p>Back to the 2 things I talked about above are:<p>1. Agent Answer Accuracy a.k.a RAG accuracy – we benchmark at the top of public leaderboards for “business-doc” retrieval & no hallucination.<p>2. Ops drag – no k8s, patch cycles, or 3 a.m. TLS renewals. We host, autoscale, and watch the graphs.<p>Included in every CustomGPT.ai plan (free-trial friendly). Happy to share perf metrics or answer architecture questions.<p>Ask me anything!