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Open-source Rust MCP server for LLM-driven browser automation and web scraping - one binary, three browser engines plus fast no-browser HTTP, 18 intent-based tools (web, PDF, SERP, media), any OS, any MCP client.

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webrain

WebRain

A portable, LLM-driven browser-automation & web-scraping MCP server — one binary, three engines, any OS.

WebRain exposes 17 intent-based tools over the Model Context Protocol. Install it on any system, point any LLM client (GitHub Copilot, Claude, Codex, Cursor, …) at it, and the model decides everything — search, crawl, scrape, navigate, interact — from a plain-language prompt. No hardcoded intent detection, no daemon, no Node.js.

Latest Release License: MIT Platforms Last Commit GitHub Stars Rust


Why webrain?

Web automation shouldn't mean wiring up a driver, a browser download, and your own tool wrappers before an LLM can touch a page. Webrain collapses that into one binary + one install command and speaks MCP, so any LLM client drives it directly.

webrain Raw Playwright / Puppeteer
Setup one binary + webrain install runtime + driver + browser download + your own wrappers
Browsers Chrome + lightpanda + obscura through one CDP backend one engine, usually Chromium
LLM-ready MCP server, 17 tools, built-in decision guide you hand-roll tool functions
Anti-bot challenge detection + persistent profile + native login manual
Extraction autoschema → JSON / regex / table / spider / batch you write selectors
Runs on any OS, any LLM client, or plain CLI tied to your stack

What you can do with it

  • Scrape at scale — webrain_batch runs one op across many URLs in parallel tabs; webrain_crawl handles spider / sitemap / infinite-scroll / URL-validation, both with auto-throttle and checkpoint-resume.
  • Structured data without hand-written selectors — webrain_extract mode autoschema proposes the repeated container, then schema / regex / table / jsonld read it. All zero-LLM.
  • Stealth login — real-Chrome profiles with an encrypted local credential vault (AES-256-GCM + optional TOTP), plus cookie transfer across engines.
  • Get past challenges — every webrain_navigate reports a challenge field; protected sites clear with real Chrome + a persistent profile + native login. Native CAPTCHA/vision v2 (drag, eval_in_frame, vision ask) — no Python sidecar.
  • See the page — webrain_observe (state / a11y / semantic tree) plus vision tiles (screenshot → vector store) for tables and charts.
  • Structured search — webrain_serp returns typed JSON (position/title/url/domain/snippet), deduped and paginated, across provider tiers: free HTTP engines → Brave API key → browser render → serpapi.
  • Read anything — webrain_pdf (extract + render), JSON-LD, media, plus webrain_scrape for static pages over plain HTTP — 10–100× faster than a browser.

Prerequisites

  • OS: Windows, macOS, or Linux (x86_64 / arm64).
  • A browser engine — run webrain install once (downloads Chrome for Testing). Obscura and Lightpanda are optional extra engines.
  • Linux: system libraries for Chrome — see installation.
  • Docker — only to run the obscura / lightpanda engines in containers.
  • An MCP-capable client (VS Code + Copilot, Claude, Codex, Cursor, …) — optional; the CLI works standalone.

Installation

Install model mirrors vercel-labs/agent-browser: a native binary plus an install command that downloads engines into a cache dir.

Global Installation (recommended)

One command installs webrain on your PATH:

Linux / macOS:

curl -fsSL https://raw.githubusercontent.com/prokopis3/webrain/main/scripts/install.sh | bash

Windows (PowerShell):

irm https://raw.githubusercontent.com/prokopis3/webrain/main/scripts/install.ps1 | iex

Then download a browser engine once — webrain install — and follow Run it.

Other install paths

Homebrew, Scoop, cargo install, a manual binary download, and a from-source build are all covered in docs/installation.mdx, together with the Linux system libraries Chrome needs.

From Source

git clone https://github.com/prokopis3/webrain
cd webrain
cargo build --release --bin webrain
./target/release/webrain install   # Download Chrome (first time only)
./target/release/webrain mcp --http 9223

Updating

Upgrade to the latest version:

webrain upgrade

Detects your installation method (Homebrew, Scoop, or a manual install) and updates automatically — brew upgrade webrain, scoop update webrain, or self-updates the binary in place.

If installed via cargo:

cargo install --git https://github.com/prokopis3/webrain webrain-cli --force

Re-download engines after an update (cache dir stays, versions are additive):

webrain install
webrain install --engine obscura

OS Compatibility

Every engine, per OS:

Engine Windows macOS Linux
Chrome for Testing (webrain install) ✅ ✅ ✅
Obscura (webrain install --engine obscura) ✅ x86_64 ✅ x86_64 / arm64 ✅ x86_64 / arm64
Lightpanda (webrain lightpanda, binary needed) ⚠️ (needs a Windows build on PATH) ✅ ✅
Docker (docker/Dockerfile) via Docker Desktop via Docker Desktop ✅

Binary discovery is automatic on every OS: env override → PATH → ~/.lightpanda, ~/.obscura, ~/.local/bin → the webrain engine cache.

Run it

webrain install          # 1. one browser engine (Chrome for Testing)
webrain doctor           # 2. verify: engines, CDP ports, vault, MCP
webrain mcp              # 3. MCP over stdio (VS Code, Claude, Cursor, …)
webrain mcp --http 9223  #    …or HTTP on http://127.0.0.1:9223/mcp

Register that server in your client (see Marketplace / IDE Plugins below), then just ask: “scrape every product title and price from ”.

Prefer the CLI? webrain launch gives you headed Chrome with a persistent profile, and every MCP tool has a command twin — see Commands.

Selecting elements

The MCP tools drive elements by index, not by CSS selector: webrain_navigate / webrain_observe return the interactive elements (a, button, input, select, textarea, [role=button]) and webrain_interact takes that index — {"action": "click", "index": 3}. The CLI uses the same 1-indexed refs:

webrain launch                     # guest-mode Chrome (no profile state)
webrain fetch https://example.com  # prints the page text + interactive elements
webrain click 3                    # click element #3
webrain type 5 "text"              # type into element #5
webrain eval 'document.querySelector("#email").value'

Commands

webrain mcp [--http <port>]                        # MCP server (stdio, or HTTP on a port)
webrain doctor                                     # diagnose the install (engines, MCP, CDP, vault)
webrain install [--engine chrome|obscura] [--stealth]  # download a browser engine
webrain upgrade                                    # update to the latest release
webrain launch <service> <profile> [url]           # stealth Chrome, persistent profile
webrain login <service> <profile> [url]            # interactive login into a profile
webrain vault set|list|user|rm                     # encrypted credential vault (AES-256-GCM + TOTP)
webrain cookies / setcookies <file>                # export / import cookies
webrain fetch <url>                                # attach to CDP_URL and fetch
webrain screenshot <url>                           # full-page screenshot (always full page)
webrain spider <url> [--depth N --pages N --respect-robots]  # crawl
webrain click <i> / type <i> <text> / eval <js>    # drive the CDP_URL backend
webrain obscura / lightpanda [--port N]            # spawn a CDP server
webrain watch <video-url-or-file> [--vision]       # transcript + frames (no browser)
webrain install watch|whisper [--model NAME]       # ffmpeg + yt-dlp + whisper (STT)
webrain install vision [--model ID] [--model-update]  # llama-server + a local vision model
webrain uninstall vision --model ID | --all        # remove installed vision models
webrain serp "<query>" [--engine …] [--limit N]   # structured JSON search (5 engines + auto)

The 17-tool MCP surface is discovered dynamically — webrain_guide lists it for the LLM (see MCP Tools).

Browser Engines

Need Engine How to get it
Material / interactive SPA (Google Flights, calendars, dropdowns), interactive challenges real Chrome webrain install
Fast scraping of non-challenged JS pages, parallel tabs; v0.2.0+ render builds also screenshot + PDF obscura webrain install --engine obscura [--stealth] [--no-render], then webrain obscura
Fastest/lightest, real a11y + semantic tree, no rendering lightpanda install the binary, then webrain lightpanda
Static HTML, no JS/auth fetch_http (no browser) built-in

Key rules (see Agent Decision Guide):

  • Never use obscura/lightpanda for Material/SPA interaction — they still lack the layout engine for complex Material UI widgets. Obscura v0.2.0+ render builds can screenshot and export PDFs (native Rust renderer). Lightpanda returns a fake placeholder PNG. Route interactive SPAs to real Chrome via cdp_urls:["http://127.0.0.1:9222"].
  • Parallelism differs per engine. Chrome and obscura open N tabs on one connection, so concurrency is the lever. lightpanda is single-target per connection (its 2nd Target.createTarget errors TargetAlreadyLoaded), so one endpoint runs URLs serially and the reply says so (single_target: true, effective_concurrency: 1); its lever is connections — repeat the same endpoint in cdp_urls (each connection gets its own worker/page, capped by --cdp-max-connections, default 16). Measured on 8 URLs: 1 connection 6.15 s vs 4 connections 1.17 s. Hosted equivalents work the same way: a wss:// endpoint (e.g. Lightpanda Cloud) is accepted directly.
  • Read the challenge field after every webrain_navigate. If it's non-null, the page is gated — use real Chrome + a persistent profile + session (webrain launch / webrain login).
  • Extract from container/card-level DOM, not bare $ text nodes (Google Flights renders a spurious price grid).

MCP Tools

The surface is intent-based (firecrawl-style) — each tool has a what / action / op / mode selector, so the LLM picks a boundary, not a primitive. Every capability is preserved as a selector value, and all 17 tools are discovered dynamically (webrain_guide lists them for the LLM):

Tool What it does
webrain_navigate Go to a URL — page state + challenge / crippled detection. The entry point.
webrain_observe Read the current page: what = state · a11y · semantic · html · images · console · flatten (Shadow DOM) · fit · clean · screenshot · pixel · page_info · annotate · media
webrain_interact Drive the page: action = click · click_coords · type · press · scroll · nav · tab · select · hover · check · dialog · wait · upload · dismiss_overlays · add_init_script
webrain_extract Structured data: mode = schema (CSS) · regex · jsonld · table · autoschema · bm25
webrain_scrape No-browser HTTP fetch of one URL (10–100× faster, static only)
webrain_batch Same op across many URLs in parallel tabs: op = fetch · markdown · extract · interact · eval · screenshot (+ cdp_urls per-proxy fan-out)
webrain_crawl Site traversal: mode = spider (BFS/DFS/best-first + autothrottle + checkpoint) · sitemap · scan · validate
webrain_search Web search (duckduckgo · google · bing · brave)
webrain_serp Structured JSON search: position/title/url/domain/snippet across duckduckgo · bing · yahoo · baidu · yandex · google · brave · auto (dedupe · paginate · region-pin · proxy · Brave API key · serpapi)
webrain_pdf PDF work: op = page · extract (→ markdown) · render (→ vision tiles) · images
webrain_download Files/media: engine = http (stream) · ytdlp (HLS/playlists)
webrain_watch Video → timestamped transcript + frames (no browser; vision:true → text captions)
webrain_session Browser/auth/session: op = open · close · list · cookies · setcookies · save_state · restore_state · profiles · login · close_launch
webrain_vision Screenshot-tile vision: op = index · retrieve · ask (local Qwen3-VL question answering over a viewport or clip region)
webrain_eval Arbitrary JS in the page (escape hatch)
webrain_eval_in_frame Run JS inside a cross-origin iframe (isolated world)
webrain_guide Agent decision guide (browser/challenge/extraction/delegation)

Legacy one-action tool names still dispatch (backward compatible via map_surface()).

Full per-tool reference: docs/ARCHITECTURE.md. Tool/browser/challenge decisions: docs/AGENT_DECISION_GUIDE.md.

Watch videos (local AI, no browser)

webrain_watch (MCP) / webrain watch (CLI) turns any video — URL or local file — into a timestamped transcript + frames, with no browser:

webrain install watch             # one command: bundles ffmpeg+ffprobe, yt-dlp,
                                  # whisper-cli + a GGUF model (self-contained, any OS)
webrain watch video.mp4           # transcript (captions → local whisper → cloud) + frames
webrain watch video.mp4 --vision  # + text captions of the frames via a vision LLM
webrain install vision            # local Qwen3-VL-2B (llama-server + GGUF + mmproj)

Vision chain (--vision / vision:true): Groq qwen3.6-27b → OpenAI gpt-4o-mini → local Qwen3-VL-2B — when no key is set, video understanding runs fully offline after webrain install watch + webrain install vision. Cloud keys (GROQ_API_KEY / OPENAI_API_KEY / FIREWORKS_API_KEY) are optional if you run the local stack. webrain install watch prints a warnings block if anything's missing.

Environment Variables

The ones you are most likely to set. Every variable is read once, at process start or at CDP attach — change one and restart the MCP server; a stealth change also needs a fresh tab, because injected scripts live as long as the tab. The complete list, with defaults and the allow/deny rules, is in docs/reference/environment.mdx.

Variable Description Default
CDP_URL CDP endpoint to attach to http://127.0.0.1:9222
WEBRAIN_HTTP_TOKEN Bearer token the HTTP transport requires, compared in constant time. Unset is only allowed on a loopback bind unset
WEBRAIN_ALLOW_UNAUTHENTICATED Permit a non-loopback HTTP bind with no token — without it webrain refuses to start that way rather than serving as an open engine off
WEBRAIN_NO_STATE Disable every stateful/session tool (shared-instance mode) and cap tab fan-out at 6 off
WEBRAIN_STEALTH_NOISE Set 0 to drop the canvas/audio fingerprint-noise block. This is the fix when a page renders but never mounts — a Next.js/Angular SPA whose grid stays empty while a hand-opened tab of the same URL works on
WEBRAIN_NO_STEALTH Set 1 to skip all injected stealth JS + the UA override. A diagnostic for "is our shim breaking this page?" — not a workaround for hostile sites off
WEBRAIN_BROWSERS_DIR Engine cache dir (Chrome for Testing, Obscura) %LOCALAPPDATA%\webrain\browsers / ~/.cache/webrain/browsers
WEBRAIN_CHROME / WEBRAIN_LIGHTPANDA / WEBRAIN_OBSCURA Explicit engine binary paths — engine not found means one of these is wrong or nothing is installed auto-discovered
WEBRAIN_PROFILES_DIR Persistent browser-profile root. Profiles are what keeps a login or a solved challenge across calls; pointing this somewhere new looks exactly like being logged out %APPDATA%\webrain\profiles / ~/.local/share/webrain/profiles
WEBRAIN_PROXIES Proxy rotation pool (comma/newline list) for the HTTP engines and the google/brave guest Chrome; a per-call proxy overrides it unset
WEBRAIN_SKILLS_DIR Directory of operator *.md skills the agent reads through webrain_guide(topic="skill:<name>") <engine cache>/skills (filled by webrain install skills)
BRAVE_API_KEY Enables the keyed Brave SERP provider — --engine brave then needs no browser unset
GROQ_API_KEY / OPENAI_API_KEY / FIREWORKS_API_KEY Optional cloud STT and vision; the bundled local stack needs no keys unset
RUST_LOG Log verbosity, e.g. webrain=info,tungstenite=warn —

Marketplace / IDE Plugins

Webrain is an MCP server, so it plugs into any MCP-capable IDE. There is no separate extension to publish — you register the server, and the 17 tools appear.

Both transports work in every client: stdio (webrain mcp) or HTTP (webrain mcp --http 9223, endpoint http://127.0.0.1:9223/mcp).

VS Code (GitHub Copilot)

Add to your user settings.json under "mcp":

{
  "mcp": {
    "servers": {
      "webrain": {
        "type": "stdio",
        "command": "webrain",
        "args": ["mcp"],
        "env": { "CDP_URL": "http://127.0.0.1:9222" }
      }
    }
  }
}

Claude Desktop — ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "webrain": { "command": "webrain", "args": ["mcp"] }
  }
}

Cursor — project .mcp.json:

{
  "mcpServers": {
    "webrain": { "command": "webrain", "args": ["mcp"] }
  }
}

Skills

A skill is a Markdown file the agent loads on demand: domain knowledge, a procedure, a warning list. webrain serves skills over MCP so the instructions live next to the tools they describe instead of in the prompt.

webrain install skills          # write the bundled set (offline — compiled into the binary)
webrain install skills --force  # overwrite files you edited
webrain skills                  # list what is installed
webrain skills add https://example.com/x/SKILL.md   # or a local path
webrain skills rm <name>

add reads the skill's frontmatter name: (that is its identity, not the filename) and refuses files over 64 KiB.

Where they land — WEBRAIN_SKILLS_DIR, defaulting to <engine cache>/skills (%LOCALAPPDATA%\webrain\browsers\skills on Windows). Set it explicitly when the MCP server and the CLI run as different users or in a container.

How the agent reads one — two topics on the guide tool:

webrain_guide(topic="skills")          # index of installed skills
webrain_guide(topic="skill:<name>")    # that skill's full text

webrain install skills also prints a warning when an installed skill names a webrain_* tool this build does not have.

Bundled and repo skills

  • skills/webrain/ — the shipped bundle compiled into the binary: the umbrella skill, web-research, product-market-research, auth-media-vision, credentials, plus their references/ and workflows/ chapters. Edit the product's skills here.
  • .github/skills/ — repo-local only (update-changelog, git-cleanup, and the design skills). See .github/skills/README.md for why the two are not copies.

Third-party skills — npx skills add <owner/repo> installs into the client's own directory (.agents/skills/<name>/SKILL.md + a skills-lock.json), which webrain does not read. Point it there, or copy the file in:

WEBRAIN_SKILLS_DIR=.agents/skills webrain skills
webrain skills add .agents/skills/agent-browser/SKILL.md

Read a third-party skill before trusting it: some (e.g. vercel-labs/agent-browser) instruct the agent to prefer their own CLI over any built-in browser tool, which contradicts the routing in AGENTS.md.

Architecture

webrain (single binary)
├── webrain-core            CDP client + engines + vault + launch + install
│   ├── backends/cdp.rs     BrowserBackend over CDP (WS): navigate/eval/click/a11y/…  (+ STEALTH_JS)
│   ├── engines.rs          Tile (vision tiles), Spider (BFS/DFS/best-first + AutoThrottle), extract, BM25
│   ├── install.rs          engine download/discovery (Chrome for Testing, Obscura, Lightpanda)
│   ├── launch.rs           spawn Chrome/lightpanda/obscura, wait for CDP
│   ├── login.rs / vault.rs encrypted credential vault + CDP login injection (TOTP)
│   └── vision.rs           screenshot-tile embedding + vector store
├── webrain-mcp             MCP server: list_tools / call_tool, 17 intent-based tools (63 legacy via map_surface)
└── webrain-cli             subcommand dispatch (mcp | install | launch | login | …)

How it works:

  1. CdpBackend connects to a CDP endpoint (Chrome, lightpanda, or obscura — all speak CDP) over a raw WebSocket.
  2. On attach it applies stealth hardening (JS patches + fingerprint-noise evasions ON by default, no forged UA / Emulation.setAutomationOverride — patchright parity) and waits out Cloudflare/captcha interstitials natively — so it can log into real sites.
  3. The MCP layer exposes every action as a tool. An LLM picks tools by intent; webrain_guide + AGENT_DECISION_GUIDE.md encode the which-browser / which-tool decisions so the LLM never guesses.
  4. Extraction is generic — autoschema probes the DOM, JSON/regex/table extractors read container-level structure, spider/batch/sitemap crawl at scale, vision tiles give the model "eyes" for tables/charts.

Data flow (LLM → browser):

LLM prompt → tool call (webrain_navigate/extract/batch/…) → CdpBackend → CDP → engine (Chrome/lightpanda/obscura)
        ← JSON result (PageState, extracted rows, stats) ←

Agent Decision Guide

Read docs/AGENT_DECISION_GUIDE.md before browser tasks. It encodes, with live-verified results:

  • Browser selection — Material/SPA → real Chrome via cdp_urls; Cloudflare/Turnstile → Chrome + persistent profile/session (native login); fast JS scraping → obscura; lightpanda for real a11y with minimal footprint; static → fetch_http.
  • Challenge handling — read challenge after every navigate; obscura/lightpanda cannot pass interactive challenges.
  • Extraction matrix — autoschema → extract_json → batch → regex → table → spider; never guess selectors.
  • a11y — Google/Material widgets are combobox/option/tab, not button; filter matches name/value/css_path; if role=<x> returns [], drop the role and filter by label.

Documentation

Page What's in it
Quickstart Engine → MCP server → a live scrape in minutes
Installation Every install path, Linux libraries, updating
Agent Decision Guide Which engine, which tool, how to handle a challenge
Tools reference The 17-tool surface, per tool and per selector
CLI reference Every subcommand and flag
Environment variables Every knob, with defaults
Architecture · ADRs How the layers fit, and why
Browser engines Chrome vs Obscura vs Lightpanda
Comparisons vs Playwright, Puppeteer, Firecrawl, crawl4ai, Browser Use
Changelog What shipped, per release

Testing

# run the self-check tests in webrain-core
cargo test --package webrain-core

# run everything
cargo test --workspace

# lint
cargo clippy --workspace --all-targets
cargo fmt --check

The repo favors one runnable self-check per non-trivial module (assert-based, no test framework sprawl) — see the #[cfg(test)] blocks in webrain-core/src/engines.rs and install.rs.

CI/CD & Releases

GitHub Actions (.github/workflows/):

  • ci.yml — cargo fmt --check + clippy + test on every push/PR to main.
  • release.yml — on a v* tag push: builds the binary natively on Linux/Windows/macOS, generates the CHANGELOG entry for that version (if missing), and creates the GitHub Release with the changelog section as the body.
  • pr-lint.yml — enforce conventional-commit PR titles (<type>(<scope>): <description>).
  • changelog-enforce.yml — require the changelog to be updated when source changes (PRs and pushes to main). Entries follow Keep a Changelog + SemVer, grouped under [Unreleased] with per-entry **scope**: prefixes that match the commit scopes.

Commit convention: <type>(<scope>): <description> — types feat|fix|docs|style|refactor|perf|test|build|ci|chore|revert, scopes core|engines|mcp|tools|cli|install|launch|login|vault|vision|pdf|download|cookies|batch|extraction|navigation|stealth|antibot|session|media|docs|build|ci|style|perf|dist|deps|config|test|skill|script|release.

Deployment (Docker)

A self-contained image with Chromium bundled lives in docker/ with a docker-compose.yml:

# build (context is the repo root, so the workspace crates are visible)
docker build -f docker/Dockerfile -t webrain .

# run (HTTP MCP on 9223)
docker run -p 9223:9223 webrain mcp --http 9223

# or via compose — also mounts persistent volumes for the vault + profiles + engine cache
docker compose -f docker/docker-compose.yml up -d

# multi-arch
docker buildx build --platform=linux/amd64,linux/arm64 -t ghcr.io/prokopis3/webrain -f docker/Dockerfile .

Troubleshooting

failed to spawn Chrome → Chrome isn't installed or WEBRAIN_CHROME is wrong. Run webrain install to download Chrome for Testing.

port X already has a CDP endpoint → a browser is already running there. Stop it, or pick another port (--port N).

Screenshots fail / blank on obscura or lightpanda → obscura v0.2.0+ render builds support screenshots; older builds and lightpanda have no paint engine (lightpanda returns a fake placeholder PNG). Use real Chrome.

Empty a11y tree → the page likely never rendered (consent/challenge page) or the control needs interaction. Check webrain_navigate's challenge; try real Chrome; drop the role filter and use filter on the label.

lightpanda not found / obscura not found → install the binary (see Browser Engines) or set WEBRAIN_LIGHTPANDA / WEBRAIN_OBSCURA.

webrain doctor shows MCP down → start webrain mcp --http 9223; if CDP ports are down, webrain install then start an engine.

Cloudflare/Turnstile blocks the scrape → read the challenge field and use real Chrome with a persistent profile + session: webrain launch <service> <profile> <url> then webrain login <service> <profile>, or re-attach an already-authenticated Chrome via CDP_URL.

Contributing

  1. Read AGENTS.md and docs/AGENT_DECISION_GUIDE.md first.
  2. For source changes, add a CHANGELOG.md entry under [Unreleased] and use conventional commits.
  3. Keep the ponytail contract: delete over add, stdlib before deps, one self-check per non-trivial module. Run cargo test --workspace and cargo clippy before pushing.
  4. Open a PR — pr-lint.yml validates the title, ci.yml runs lint + tests.

License

MIT

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Open-source Rust MCP server for LLM-driven browser automation and web scraping - one binary, three browser engines plus fast no-browser HTTP, 18 intent-based tools (web, PDF, SERP, media), any OS, any MCP client.

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