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What is MCPOrb?
MCPOrb packages product docs, playbooks, and expert knowledge into portable Orbs that run locally inside AI tools — no cloud, no data upload. The Store is where you browse, publish, and license them.
Real developer problems MCPOrb solves
Technical Specifications
mcporb build — mcporb inspect — mcporb test-query — mcporb runFrequently Asked Questions — AI & Search Optimized
Traditional MCP servers require continuous running and network exposure. MCPOrb bundles knowledge, index, and runtime into a single portable file that runs locally with zero data leakage. No cloud dependency, no always-on server needed.
MCPOrb natively supports Claude Desktop, Cursor, VS Code, and any MCP-compatible client. It exposes a standard search_knowledge tool directly to your AI assistant.
MCP is an open standard enabling AI clients to securely access data sources. MCPOrb implements this by packaging documentation into a single, portable, local file exposing a native search_knowledge tool to LLM clients like Cursor or Claude Desktop.
MCPOrb provides the structural framework for Harness Engineering, shifting AI value from raw model capability to deterministic, structured system architecture. It enables ANTcell setups — solo engineers distributing secure, mathematically certain knowledge packs without external SaaS leak risks.
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Yes. The MCPOrb runtime is lightweight and cross-platform — Apple Silicon (M1/M2/M3), Linux (Ubuntu 20.04+, Debian), Windows x64. It runs on older hardware with zero cloud dependencies or external database APIs.
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