Launching today
MCPOrb - The PDF for the AI Era (MCP)
The PDF for AI-native knowledge delivery. 100% local RAG.
4 followers
The PDF for AI-native knowledge delivery. 100% local RAG.
4 followers
Stop copy-pasting docs or feeding raw PDFs to Claude or Cursor. It drains tokens and causes hallucinations. MCPOrb compiles your markdown, PDF, office files and API references into a single, portable, self-contained MCP server file (.orb) that runs 100% locally via the Model Context Protocol (MCP). - 100% Local: No cloud fees, zero data leak risks. - Deterministic: Feeds clean context for flawless code generation. - Inspectable: Built-in local Web UI to trace every source chunk.
Hello PH Community! 👋
I’m thrilled to share MCPOrb with you all today.
As developers and creators, we are moving into an era where the adoption of a tool depends heavily on its AI ergonomics—how easily an AI assistant can reason about your code or docs. But traditional cloud-based RAG pipelines are a massive overkill for local development, and enterprise clients hate uploading sensitive docs to third-party SaaS.
That’s why we built MCPOrb: We made knowledge delivery look and feel like a PDF, but entirely optimized for LLM tool-calling.
⚽️ SPECIAL LAUNCH GIFT FOR TODAY:
To prove how it instantly eliminates AI hallucinations, we packaged the entire official, expanded 2026 FIFA World Cup database & regulations into a single local Orb file! Claude and GPT will confidently lie to you about the 2026 groupings (trust me, they hallucinate like crazy). Download our free WorldCup-Orb and chat with a 100% deterministic sports analyst locally!
👉 Try the World Cup Orb for Free: https://mcporb.store/orbs/worldcup-2026
💼 FOR B2B TEAMS & DEVREL MANAGERS:
If you can package the World Cup into an Orb, you can package your product docs. For today only, the first 10 B2B teams who apply for our 30-minute Orb Fit Assessment will get their first enterprise document compiled for FREE, along with a complimentary 1-year Commercial Builder license (worth $99)!
Drop your comments, hard questions, and feedback below. Let’s talk about the future of file-based local knowledge distribution!