nab

io.github.MikkoParkkolaPublished by GitHub account MikkoParkkolav0.12.6Updated Oct 25, 2026

Token-optimized HTTP client for LLMs: fetches any URL as clean markdown. CLI and MCP server.

Overview

AI-generated overview

Local Rust MCP server that fetches any URL as token-lean markdown, transcribes and diarizes audio/video on-device, and watches URLs for changes.

What you can do
Fetch single or batched URLs as clean markdown, with cookie sessions, query-focused extraction and token budgets, plus form submission and 1Password-based login and credential lookup for authenticated pages. Generate browser fingerprint profiles and run fetch validation and benchmark checks. Transcribe and diarize local audio and video files with on-device multilingual ASR. Create, list and remove URL watches that notify the client when page content changes.
When to use it
Useful when an assistant needs web research output that fits a context window, access to pages behind a browser session or 1Password login, local transcription of meetings or interviews, or change monitoring on a page such as pricing or a status feed.
Requirements
Runs as a local process (nab-mcp binary, installed via Homebrew, prebuilt release, or cargo with Rust 1.95+). ffmpeg is needed for audio/video analysis; ASR models are downloaded separately. Optional 1Password CLI for credential features. No API keys required by default.
Before you install
Reads real browser cookies and can auto-login with 1Password credentials, including TOTP/MFA; set NAB_KEYCHAIN_INTERACTION to never for headless use. It can submit web forms and write files, and stores session state and snapshots under ~/.nab. A daily telemetry heartbeat is on unless NAB_NO_TELEMETRY is set. The prompt-injection guards are free only for non-commercial use. The remote fallback option sends URLs to a third-party service.

Installation

In SourceWeft

  1. Open nab in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

nab

[CI] [Crates.io] [Downloads] [docs.rs] [Rust] [License: MIT + PolyForm NC] [MCP Protocol] [MCP 2026-07-28] [nab MCP server] [Install in VS Code] [Install in Cursor]

Token-optimized web fetcher + multilingual ASR + URL watcher. MCP 2025-11-25 and 2026-07-28 (partial: a call that does not wait). Rust. macOS arm64 first, cross-platform.

[demo]

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.

Why nab

  • Token-lean by design. nab returns only what an LLM actually needs — clean markdown, BM25-lite query-focused extraction, and structure-aware token budgets — cutting the token cost of web research instead of dumping raw HTML into your context window.
  • Multimodal, fully on-device. Transcribe and diarize any audio or video (FluidAudio / Parakeet TDT v3 on the Apple Neural Engine — 131× realtime on a 2-hour clip, 25 EU languages, word-level timestamps, optional Qwen3-ASR for zh/ja/ko/vi) and OCR images via Apple Vision (15 languages, ~10–50 ms). No cloud, no API keys.
  • Authenticated reach. Real browser cookies, 1Password auto-login with TOTP/MFA, WebAuthn passkeys, fingerprint spoofing and WAF evasion — reach internal dashboards, SaaS apps, and paywalled research with the same command as a public URL.
  • Watch the web. Subscribe to any URL via MCP resources — conditional GETs, semantic diff, adaptive backoff. RSS for the entire web.
  • Prompt-injection defense, on by default. Hidden instructions addressed to your AI are surfaced to you, not silently executed by your model — see Security.

Everything is a single local Rust binary. No cloud backend, no API keys by default, output shaped for LLM context windows.

Quick start

Tell your AI assistant (recommended):

Read https://github.com/MikkoParkkola/nab and install nab as my web fetching and audio analysis MCP server

Your agent will install the binary, wire itself up, and start fetching. Works in Claude Code, Cursor, Windsurf, and any AI with terminal access.

Or install and try manually:

bash
brew trust --tap MikkoParkkola/tap   # Homebrew 6.0+brew install MikkoParkkola/tap/nab                            # installnab fetch https://news.ycombinator.com                        # fetch as markdownnab models fetch fluidaudio                                   # download ASR modelnab analyze interview.mp4 --diarize                           # transcribe + identify speakersnab watch add https://status.openai.com --interval 5m         # subscribe to changes

Features

CommandWhat it does
nab fetch <url>Fetch any URL as clean markdown. HTTP/3, browser cookie injection (Brave / Chrome / Firefox / Safari / Edge / Dia), 1Password auto-login, fingerprint spoofing, fetch-time YARA-X redaction for prompt-injection/exfil signatures, 12 site providers. MCP fetch also supports query-focused extraction, readability, and token budgets.
nab browser <url>Explicit opt-in browser rendering for JS-heavy pages through a configured Chrome DevTools Protocol WebSocket endpoint. No Chromium is bundled and default nab fetch never auto-launches a browser or remote provider.
nab analyze <video|audio>Transcribe and diarize. FluidAudio (Parakeet TDT v3) on Apple Neural Engine, 131x realtime on a 2-hour clip, word-level timestamps, 25 EU languages, optional Qwen3-ASR for zh/ja/ko/vi, optional active reading via MCP sampling.
nab watch add <url>Monitor a URL and push notifications via subscribable MCP resources. RSS for the entire web. Conditional GETs, semantic diff, adaptive backoff.
nab models fetch <name>Persistent install of inference model binaries. Supports fluidaudio (default on macOS Apple Silicon), sherpa-onnx (cross-platform Parakeet TDT, ~30× realtime CPU), and whisper (universal fallback, whisper-large-v3-turbo, 99 langs).
nab-mcpMCP 2025-11-25 and 2026-07-28 server. stdio + Streamable HTTP. 12 tools, 4 prompts, 2+N resources, structured logging, sampling, roots, elicitation.
nab::content::ocrApple Vision OCR engine. 15 languages. Apple Neural Engine accelerated. ~10-50 ms per image. macOS only.

Security: prompt-injection defense

Web pages increasingly carry instructions written for the AI, not for you — concealed in HTML comments, display:none / aria-hidden text, data-ai / data-mcp / data-agent attribute payloads, or WebMCP manifests. Fetch such a page with a naive tool and those hidden instructions land straight in your model's context, where they can be acted on. This is the prompt-injection-as-phishing class of attack.

nab treats every fetched page as hostile input and runs two local, non-networked guards before any content reaches your agent — on by default, no flag, no setup:

  • Secure Ingestion guard — detects and strips machine-targeted markup that is invisible to humans (AI-addressed comments, hidden display:none / aria-hidden text, agent-only data-* payloads, WebMCP advertisements) and reports each detection at Info / Warn / Block severity, so you see what a page tried to tell your agent instead of it being silently executed.
  • YARA-X signature guard — scans every returned body for prompt-injection, exfiltration, secret-leak, and obfuscation signatures, redacting matched sections by default. Set NAB_YARA_ACTION=refuse to block the fetch outright (or NAB_YARA_BYPASS=1 as an audited emergency opt-out).

The net effect: hidden instructions become visible to you, not executed by your model — a strong reason to point your agent at nab fetch instead of a built-in web-fetch tool.

Licensing: both guards are Enterprise Edition modules — free for personal and non-commercial use under PolyForm Noncommercial 1.0.0; commercial / business use requires a commercial license (see COMMERCIAL.md and the License section).

Installation

Homebrew (macOS, recommended)

bash
brew tap MikkoParkkola/tapbrew install nab

Pre-built binary (no Rust toolchain required)

Most users want this path — these are ready-to-run binaries; nothing is compiled on your machine.

If you have cargo-binstall, it fetches the right pre-built binary automatically:

bash
cargo binstall nab

Otherwise download directly from GitHub Releases. Both the nab CLI and the nab-mcp server ship for every platform below, alongside checksums-sha256.txt:

PlatformCLI binaryMCP server binary
macOS Apple Siliconnab-aarch64-apple-darwinnab-mcp-aarch64-apple-darwin
macOS Intelnab-x86_64-apple-darwinnab-mcp-x86_64-apple-darwin
Linux x86_64 (glibc)nab-x86_64-unknown-linux-gnunab-mcp-x86_64-unknown-linux-gnu
Linux x86_64 (static musl)nab-x86_64-unknown-linux-muslnab-mcp-x86_64-unknown-linux-musl
Linux ARM64 (glibc)nab-aarch64-unknown-linux-gnunab-mcp-aarch64-unknown-linux-gnu
Linux ARM64 (static musl)nab-aarch64-unknown-linux-muslnab-mcp-aarch64-unknown-linux-musl
Windows x64nab-x86_64-pc-windows-msvc.exenab-mcp-x86_64-pc-windows-msvc.exe

Example install for macOS Apple Silicon (substitute the filename for your platform):

bash
shasum -a 256 -c checksums-sha256.txt --ignore-missingchmod +x nab-aarch64-apple-darwinmv nab-aarch64-apple-darwin /usr/local/bin/nabxattr -d com.apple.quarantine /usr/local/bin/nab 2>/dev/null || true

From crates.io (compiles from source)

Builds nab locally — requires the Rust toolchain (1.95 or newer) and takes a few minutes:

bash
cargo install nab

From source

bash
git clone https://github.com/MikkoParkkola/nab.gitcd nabcargo install --path .

Avoiding duplicate installs

If you install nab through more than one channel (for example a Homebrew tap and cargo install), the copy that wins depends on PATH order. On many setups /opt/homebrew/bin comes before ~/.cargo/bin, so a Homebrew binary can shadow a newer cargo-installed one — and nab --version then reports the older version.

Run the built-in diagnostic to see every nab on your PATH, which one wins, and their versions:

bash
nab doctor

If the binary on your PATH is the stale one, its doctor may predate this command; invoke the newer install by full path to diagnose, e.g. ~/.cargo/bin/nab doctor. To resolve, keep a single install channel (brew uninstall nab or cargo uninstall nab), or reorder PATH so the directory of the install you want comes first.

MCP Configuration

MCP Registry name: mcp-name: io.github.MikkoParkkola/nab

Add to your MCP client config (Claude Desktop, Cursor, Windsurf, etc.):

json
{  "mcpServers": {    "nab": {      "command": "nab-mcp",      "args": []    }  }}

Or use the auto-installer:

bash
nab mcp install                        # Claude Desktop (default)nab mcp install --client claude-code   # Claude Codenab mcp install --client cursor        # Cursornab mcp install --client windsurf      # Windsurfnab mcp install --client codex         # OpenAI Codex CLInab mcp install --client vscode        # VS Code Copilotnab mcp install --client zed           # Zednab mcp install --dry-run              # preview without writing

Also supported: gemini, amazon-q, lm-studio.

See Tools for the full tool list and MCP integration for capabilities and HTTP transport.

Claude Code plugin

This repository includes a local Claude Code plugin in plugin/. It bundles nab MCP auto-registration with the Claude Elite research, url-insight, wayback, ia, and oreilly skills.

bash
claude --plugin-dir ./plugin

The plugin exposes the /nab workflow shape for fetch, authenticated Brave-cookie fetches, archive retrieval, and multi-source research. It keeps nab's auth-aware path front and center: nab fetch --cookies brave <url> for existing browser sessions and nab fetch --1password <url> for 1Password/TOTP flows.

Usage

Fetch

bash
# Basic fetch — auto-detects browser, returns markdownnab fetch https://example.com
# Use cookies from a specific browsernab fetch https://github.com/notifications --cookies brave
# 1Password auto-login (TOTP/MFA supported)nab fetch https://internal.company.com --1password
# Google Workspace (Docs, Sheets, Slides) with commentsnab fetch --cookies brave "https://docs.google.com/document/d/DOCID/edit"
# Output JSON with confidence scoresnab fetch https://example.com --format json
# Batch fetch with parallelismnab fetch --batch urls.txt --parallel 8
# Explicit browser rendering for JS-heavy pagesNAB_BROWSER_CDP_WS=wss://... nab browser https://example.comnab fetch https://example.com --render --browser-cdp-url wss://...

Common flags for fetch:

FlagDescription
--cookies <browser>auto, brave, chrome, firefox, safari, edge, none
--1password / --op1Password credential lookup + auto-login
--proxy <url>HTTP or SOCKS5 proxy
--format <fmt>full (default), compact, json
--raw-htmlSkip markdown conversion
--readabilityForce readability extraction for generic HTML pages
--max-output-tokens <n>Apply an output token envelope; returned markdown uses 80% for headroom
--remote-fallbackOpt in to remote thin-content recovery via r.jina.ai; avoid for internal, authenticated, or sensitive URLs
--render / --interactiveOpt in to configured CDP browser rendering for JS-heavy pages; requires NAB_BROWSER_CDP_WS or --browser-cdp-url
--diffShow what changed since the last fetch
-X <method> -d <data>HTTP method + body
-o <path>Write body to file

MCP fetch additionally supports focus, readability, max_tokens, and session parameters for query-focused extraction, readability extraction, structure-aware token budgets, and persistent encrypted cookie sessions.

Analyze

nab analyze transcribes audio and video files locally. The default backend on macOS arm64 is FluidAudio, which runs Parakeet TDT v3 on the Apple Neural Engine.

bash
# Download the ASR model (~600 MB, one-time)nab models fetch fluidaudio
# Transcribe a videonab analyze interview.mp4
# Add speaker diarization (PyAnnote community-1)nab analyze interview.mp4 --diarize
# Force a language hint (BCP-47)nab analyze podcast.mp3 --language fi
# Word-level timestampsnab analyze talk.mp4 --word-timestamps
# Active reading: nab uses MCP sampling to look up references mentioned in the audionab analyze interview.mp4 --active-reading
# Expose speaker embeddings for matching against hebb's voiceprint databasenab analyze interview.mp4 --diarize --include-embeddings
# Output JSONnab analyze podcast.mp3 --format json

Real numbers from a 2 h 09 m English audio file (Karen Hao interview, MacBook Pro M-series):

MetricValue
Wall time59.6 s
Realtime factor131x
FluidAudio mean confidence97.18 %
Audio extraction (ffmpeg)~650x realtime
BackendPlatformLanguagesDiarization
fluidaudio (default on macOS arm64)macOS arm6425 EU languages, +zh/ja/ko/vi via Qwen3-ASR (opt-in)PyAnnote community-1
sherpa-onnxLinux/x86, macOS, WindowsParakeet ONNX, 25+ langssherpa-onnx pyannote-seg-3.0
whisper-rsUniversal fallbackwhisper-large-v3-turbo, 99 langsnone

Watch

nab watch turns any URL into a subscribable resource. MCP clients receive notifications/resources/updated when the content changes.

bash
nab watch add https://news.ycombinator.com --interval 10mnab watch add https://example.com/pricing --interval 1h --selector "table.pricing"nab watch add https://api.openai.com/status --interval 5m --notify-on regressionnab watch listnab watch logs <id>nab watch remove <id>

Per-watch options:

FlagDefaultDescription
--interval <duration>1hPolling interval (5m, 1h, 24h)
--selector <css>noneCSS selector to scope diff to one element
--notify-on <kind>anyany, regression, semantic
--diff <kind>semantictext, semantic, dom

The poller uses conditional GETs (If-None-Match, If-Modified-Since), so 304 responses cost effectively nothing. Watches with five consecutive failures auto-mute. Adaptive backoff applies on 429 and 503.

Models

bash
nab models list                           # show installed model versionsnab models fetch fluidaudio               # download FluidAudio binary + Parakeet weightsnab models update fluidaudio              # check for upstream updatesnab models verify fluidaudio              # checksum + smoke test

Both whisper and sherpa-onnx ship as cross-platform fallbacks alongside the macOS-default fluidaudio backend.

MCP integration

nab-mcp is a native Rust MCP server. It runs over stdio (default) or Streamable HTTP. It is not fully compliant with 2026-07-28. A call that does not wait is served on that revision, including fetch, fetch_batch, submit, auth_lookup, fingerprint, validate, benchmark, watch_create, watch_list, and watch_remove. login, analyze, and task are served only when that call would not elicit or sample. A 2026-07-28 call that would elicit or sample returns a JSON-RPC error and does not wait. Sessions, elicitation, sampling, and tasks stay on 2025-11-25. A 2026-07-28 request needs no initialize and no session id. On HTTP that call sends the matching mcp-protocol-version header. On stdio the success or the JSON-RPC error may be the first message. A crates.io build has no SDK patch, so that nab-mcp compiles without the 2026 hook and does not serve 2026-07-28.

Quick setup (recommended)

bash
nab mcp install                        # Claude Desktop (default)nab mcp install --client claude-code   # Claude Codenab mcp install --client cursor        # Cursornab mcp install --client windsurf      # Windsurfnab mcp install --client codex         # OpenAI Codex CLInab mcp install --client vscode        # VS Code Copilotnab mcp install --client zed           # Zednab mcp install --dry-run              # preview what would change

Also supported: gemini, amazon-q, lm-studio. This auto-detects the nab-mcp binary path, backs up your existing config, and adds the nab entry. Restart your client after installing.

Manual setup

Add to your MCP client configuration (~/.config/claude/mcp.json or equivalent):

json
{  "mcpServers": {    "nab": {      "command": "nab-mcp",      "args": []    }  }}

HTTP transport

bash
nab mcp serve --http 127.0.0.1:8765# or directly:nab-mcp --http 127.0.0.1:8765

Bind to localhost by default. Origin checks and MCP-Protocol-Version header validation are enforced per spec.

MCP capabilities

CapabilityStatus
Tools12 tools with structured output schemas, annotations, validation errors
Prompts4 prompts (fetch-and-extract, multi-page-research, authenticated-fetch, match-speakers-with-hebb)
Resources2 static + N dynamic watch resources, all subscribable
Loggingnotifications/message with RFC 5424 levels
Samplingnab calls back to the host LLM for active reading, focus extraction, form auto-fill
Rootsroots/list queried for workspace-scoped saves
ElicitationForm mode + URL mode for OAuth/SSO
Argument completioncompletion/complete for tool args
Server iconsLight + dark SVG
Transportsstdio + Streamable HTTP (resumable, session-scoped)

Tools

nab-mcp exposes 12 MCP tools:

  • fetch — Fetch a URL and convert it to clean markdown, with cookies, focus, token budget, and session
  • fetch_batch — Fetch multiple URLs in parallel (HTTP/2 multiplexing, task-augmented async execution)
  • submit — Submit a web form with CSRF handling and smart field extraction
  • login — Auto-login to a website with 1Password credentials, including TOTP/MFA
  • auth_lookup — Look up 1Password credentials for a URL without exposing the password
  • fingerprint — Generate realistic Chrome, Firefox, or Safari browser fingerprint profiles
  • validate — Run the validation test suite against real websites (HTTP/2, HTTP/3, TLS 1.3, 1Password)
  • benchmark — Time URL fetches over multiple iterations with min/avg/max stats
  • analyze — Transcribe and diarize audio/video with multilingual ASR
  • watch_create — Create a URL watch that emits MCP resource notifications when content changes
  • watch_list — List active URL watches with their IDs, URLs, and polling status
  • watch_remove — Remove a URL watch by ID

Builds compiled with the opt-in task Cargo feature also expose task, an experimental web-task entry that fetches and screens a seed URL and returns the API endpoints it discovers.

Site providers

nab detects URLs for 12 platforms and uses APIs or stable structured page data instead of broad HTML scraping.

ProviderURL patternMethod
Twitter / Xx.com/*/status/*FxTwitter API
Redditreddit.com/r/*/comments/*JSON API
Hacker Newsnews.ycombinator.com/item?id=*Firebase API
GitHubgithub.com/*/*/issues/*, */pull/*REST API
Google WorkspaceDocs, Sheets, SlidesExport API + OOXML
YouTubeyoutube.com/watch?v=*, youtu.be/*oEmbed
Wikipedia*.wikipedia.org/wiki/*REST API
StackOverflowstackoverflow.com/questions/*API
Mastodon*/users/*/statuses/*ActivityPub
LinkedInlinkedin.com/posts/*oEmbed
Instagraminstagram.com/p/*, */reel/*oEmbed
Substack*.substack.com/p/*, substack.com/*/p/*Article DOM (.available-content)

If no provider matches, nab falls back to standard HTML fetch + markdown conversion.

Architecture

nab is built around a small set of orthogonal subsystems: cmd/ (CLI), bin/mcp_server/ (MCP server), content/ (HTML / PDF / OCR pipeline), analyze/ (ASR + diarization + vision), watch/ (URL monitoring + subscriptions), auth/ (cookies + 1Password + WebAuthn), site/ (per-site providers), and the shared AcceleratedClient (HTTP/3 + connection pool + fingerprint store).

See:

Design notes

The docs/design/ directory tracks recent design proposals:

Companion tools

nab is half of a sovereign multimodal stack. The other half is hebb, a neuroscience-inspired memory MCP server. Composition examples:

  • nab analyze --diarize --include-embeddings → hebb voice_match → speakers labeled with names
  • nab fetch URL → hebb kv_set → personal sovereign web memory
  • nab watch add URL → hebb kv_set (on update) → time-series of changes to any web page

See docs/sovereign-stack.md for the full composition story.

Configuration

nab requires no configuration files. It uses smart defaults: auto-detected browser cookies, randomized fingerprints, and markdown output.

Persistent state lives in ~/.nab/:

PathPurpose
~/.nab/snapshots/Content snapshots for --diff change detection
~/.nab/sessions/AES-256-GCM encrypted named-session jars (non-Windows)
~/.nab/session-keyLocally generated master key for session encryption (non-Windows)
~/.nab/fingerprint_versions.jsonCached browser versions (auto-updates every 14 days)
~/.local/share/nab/watches/URL watch state
~/.local/share/nab/models/Installed inference model binaries
~/.nab/telemetry/Daily heartbeat stamp and this product's install id
~/.revaluator/machine-idRandom id shared by the products on this machine

Optional plugin configuration at ~/.config/nab/plugins.toml. See docs/getting-started.md for plugin examples.

Environment variables

VariablePurpose
HTTPS_PROXY / https_proxyHTTPS proxy URL
HTTP_PROXY / http_proxyHTTP proxy URL
ALL_PROXY / all_proxyProxy for all protocols
RUST_LOGLogging level (e.g., nab=debug)
NAB_SSRF_ALLOW_PRIVATESet to 1/true to allow fetching private/internal addresses (RFC 1918, IPv6 ULA, CGN). Off by default. Loopback and cloud-metadata addresses stay blocked
NAB_SSRF_ALLOWLISTComma-separated CIDR/IP allowlist exempting only those private ranges (e.g. 10.252.0.0/16,192.168.1.5). Empty by default; preferred over the blanket flag above
NAB_KEYCHAIN_INTERACTIONSet to never for background automation: macOS Keychain reads cannot open UI, and prompt-capable Python cookie fallback is disabled
NAB_NO_TELEMETRYSet to anything other than 0 or false to skip the daily heartbeat. NO_TELEMETRY and DO_NOT_TRACK do the same
NAB_TELEMETRY_ENDPOINTReplace the heartbeat URL. An empty value leaves the default
PUSHOVER_USER / PUSHOVER_TOKENPushover notifications for MFA
TELEGRAM_BOT_TOKEN / TELEGRAM_CHAT_IDTelegram notifications for MFA

Library usage

rust
use nab::AcceleratedClient;
#[tokio::main]async fn main() -> anyhow::Result<()> {    let client = AcceleratedClient::new()?;    let html = client.fetch_text("https://example.com").await?;    println!("Fetched {} bytes", html.len());    Ok(())}

Requirements

  • Rust 1.95+ for building from source
  • ffmpeg for analyze and stream commands: brew install ffmpeg
  • 1Password CLI (optional, for credential integration): see 1Password docs

Contributing

See CONTRIBUTING.md for development setup, code style guidelines, testing instructions, and pull request process.

Responsible use

This tool includes browser cookie extraction and fingerprint spoofing capabilities. They are intended for legitimate use cases — accessing your own authenticated content, automated testing, sites where you have authorization. Use responsibly.

Troubleshooting

MCP server not connecting? Run nab-mcp directly in your terminal to see errors. Verify the binary exists with which nab-mcp. If installed via cargo install nab, both nab and nab-mcp should be on your $PATH.

Cookie extraction failing? Grant Full Disk Access to your terminal in System Settings > Privacy & Security > Full Disk Access (macOS). Browser cookies are stored in protected directories. Use --cookies brave to target a specific browser. Background tools that must never show a Keychain authorization dialog can run NAB_KEYCHAIN_INTERACTION=never nab .... Plaintext cookies and credentials that macOS can provide silently still work; credentials that require approval are unavailable, and Nab fails closed instead of invoking a prompt-capable fallback.

ASR model not found? Run nab models fetch fluidaudio to download the model (~542 MB). The model directory is ~/.nab/models/. Use nab models list to see what's installed.

Fetch returning HTML instead of markdown? Some sites block automated access. Try nab fetch URL --cookies brave to use your browser session, or nab fetch URL --1password for sites that need login.

Fetch returning thin content from a JavaScript app? Default nab fetch stays local-first and HTTP-only. For pages that need DOM execution, configure an external CDP endpoint with NAB_BROWSER_CDP_WS or --browser-cdp-url, then run nab browser URL or nab fetch URL --render. Remote browser providers may receive the URL and rendered page content; local browser cookies are not automatically available to remote browsers.

YARA-X guard redacted a fetch? nab fetch and MCP fetch scan returned bodies by default before saving or returning content. NAB_YARA_ACTION=refuse blocks instead of redacting. NAB_YARA_BYPASS=1 is an audited emergency opt-out.

"too many open files" on watch? Increase your ulimit: ulimit -n 4096. The default macOS limit (256) is too low for many concurrent watches.

Ecosystem

nab is part of a suite of MCP tools:

ToolDescription
mcp-gatewayUniversal MCP gateway — compact 12-15 tool surface replaces 100+ registrations
trvlAI travel agent — 36 MCP tools for flights, hotels, ground transport
nabWeb content extraction — fetch any URL with cookies + anti-bot bypass
axterminatormacOS GUI automation — 34 MCP tools via Accessibility API

License

nab is dual-licensed as of v0.9.0:

ScopeLicenseFile
Core fetch / analyze / watch / MCP server / public web fetchingMITLICENSE
Designated Enterprise Edition modules (authenticated reach + anti-bot)PolyForm Noncommercial 1.0.0LICENSE-EE.md

EE-designated paths (every file carries // SPDX-License-Identifier: PolyForm-Noncommercial-1.0.0):

  • src/auth/ — 1Password, WebAuthn, and browser-cookie injection (premium authenticated reach)
  • src/fingerprint/ — browser fingerprint spoofing (anti-bot evasion)
  • src/waf/ — WAF challenge handling
  • src/site/ — per-site provider integrations (proprietary domain knowledge)
  • src/security/ — Secure Ingestion guard for stripping machine-targeted HTML directives and hidden metadata
  • crates/nab-yara-engine/ — fetch-time YARA-X signature guard for prompt injection, exfiltration, secrets, and obfuscation

What this means in practice:

  • Free for noncommercial use, modification, redistribution.
  • Commercial use of EE modules requires a separate commercial license.
  • Companies can buy a standard commercial-use license via GitHub Sponsors at EUR 500/month per named project.
  • See COMMERCIAL.md for business use, forks, wrappers, shared services, and managed-service deployments.
  • All releases prior to v0.9.0 remain entirely MIT and stay MIT forever.

Source: README.md at commit f031e6f

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package type cannot run in the sandbox.

Version history

1
  1. v0.12.6LatestOct 25, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts