MikkoParkkola

Nab

Name: Nab
Author: MikkoParkkola

AI community

SOURCE https://github.com/MikkoParkkola/nab

Description

Token-lean web microfetch for LLM agents: any URL → clean markdown via CLI, MCP server, and Claude Code plugin. Real browser-cookie auth, passkeys, anti-bot reach, on-by-default prompt-injection defense, plus on-device multimodal ASR/OCR. A single Rust binary — not a browser.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

nab

[![CI](https://github.com/MikkoParkkola/nab/actions/workflows/ci.yml/badge.svg)](https://github.com/MikkoParkkola/nab/actions/workflows/ci.yml) [![Crates.io](https://img.shields.io/crates/v/nab.svg)](https://crates.io/crates/nab) [![Downloads](https://img.shields.io/crates/d/nab.svg)](https://crates.io/crates/nab) [![docs.rs](https://img.shields.io/docsrs/nab)](https://docs.rs/nab) [![Rust](https://img.shields.io/badge/Rust-1.95+-orange.svg?logo=rust)](https://www.rust-lang.org) [![License: MIT + PolyForm NC](https://img.shields.io/badge/License-MIT%20%2B%20PolyForm%20NC-yellow.svg)](LICENSE.md) [![MCP Protocol](https://img.shields.io/badge/MCP-2025--11--25-blueviolet.svg)](https://modelcontextprotocol.io) [![nab MCP server](https://glama.ai/mcp/servers/MikkoParkkola/nab/badges/score.svg)](https://glama.ai/mcp/servers/MikkoParkkola/nab) [![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_MCP-0078d4?logo=visualstudiocode)](https://insiders.vscode.dev/redirect/mcp/install?name=nab&config=%7B%22command%22%3A%22nab-mcp%22%7D) [![Install in Cursor](https://img.shields.io/badge/Cursor-Install_MCP-black?logo=cursor)](cursor://anysphere.cursor-deeplink/mcp/install?name=nab&config=%7B%22command%22%3A%22nab-mcp%22%7D)

Token-optimized web fetcher + multilingual ASR + URL watcher. MCP 2025-11-25 compliant. Rust. macOS arm64 first, cross-platform.

![demo](demo.gif)

nab is a single Rust binary that does three things very well: it **fetches** any URL as clean markdown (with your real browser cookies and anti-bot evasion), it **analyzes** any audio or video file with on-device multilingual ASR and speaker diarization, and it **watches** any URL for changes and pushes notifications when content moves. Everything runs locally. There are no API keys to set up by default. The output is shaped for LLM context windows.