A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured informati...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Multiple
Fastest way to find out if xberg belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add xberg -- npx xbergRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove xbergNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ xberg ← registers here
A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.. An open-source mcp server for the AI coding ecosystem.
Source: GitHub repository
Source check: No source check recorded
Repository state: Not marked archived
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