MCPOrb - The PDF for the AI Era (MCP)
The PDF for AI-native knowledge delivery. 100% local RAG.
5 followers
The PDF for AI-native knowledge delivery. 100% local RAG.
5 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!
Hey Product Hunt community! 👋
As a solo developer deeply passionate about AI-native engineering, I’ve always been frustrated by one massive bottleneck: AI hallucinations when dealing with private, niche, or local data.
We’ve all tried the heavy cloud-based RAG setups with complex vector databases, but for local workflows, micro-businesses, or sensitive enterprise docs, they are often overkill, high-maintenance, and a data privacy nightmare.
That’s why I’m incredibly excited to share this demo of MCPOrb running natively inside Claude Desktop.
In this short 1.5-minute video, you'll see a side-by-side contrast of what happens when you ask Claude about a specific local merchant agreement With vs. Without MCPOrb:
Without: The LLM hit a wall and has zero context.
With MCPOrb: By utilizing Anthropic's new Model Context Protocol (MCP), Claude seamlessly discovers the local .orb knowledge asset, asks for explicit permission, and extracts hyper-precise, structured, cross-lingual answers (in both English and Japanese) with zero hallucinations.
Why this matters:
Absolute Data Privacy: Your sensitive internal documentation stays entirely on your local machine. No cloud uploads, no leakage.
Zero-Infrastucture Local RAG: No spinning up external DBs or orchestrators. It’s plug-and-play local intelligence.
Granular User Control: You approve tool access on a need-to-know basis.
I’d love to get your feedback on this approach!
How are you currently solving the hallucination problem for your private data?
Do you see your daily workflows shifting towards a more decentralized, local MCP architecture?
Check out the demo, let me know your thoughts, and I'm happy to answer any technical questions about the architecture or MCP configuration below! 👇
https://youtu.be/FvHpzwAd9Cg