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Browserbash logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 8:46:58 PM

Browserbash

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

Plain-English browser tests for AI agents: real Chrome, deterministic verdicts. Free, no API keys.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for browserbash, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ“‚ More in Browser Automation

Documentation Overview

BrowserBash

Plain-English browser automation. No selectors. Free and open-source.

npm version npm downloads license Node

BrowserBash demo

You write a plain-English objective. An AI agent drives a real Chrome browser step by step β€” no selectors, no scripts. Ollama-first, so it runs on free local models with no API keys and nothing ever leaves your machine.

Terminal
npm install -g browserbash-cli
browserbash run "Open news.ycombinator.com and store the top story title as 'top_story'"

Website Β· Docs / Learn Β· Tutorials Β· npm


Both layers are swappable: the engine interprets the English, the provider runs the browser.

Engines (who interprets the English)

EngineWhat it isLicense
stagehand (default)Stagehand β€” open-source AI browser automation framework by Browserbase. act/extract/observe/agent primitives, self-healing, supports Anthropic/OpenAI/Google models.MIT
builtinIn-repo Anthropic tool-use loop driving Playwright. Used automatically for grids Stagehand can't attach to (LambdaTest, BrowserStack).Apache-2.0

Providers (where the browser runs)

ProviderWhere the browser runsEngineAuth
local (default)Chromium/Chrome on this machinestagehand or builtinnone
cdpAny Chrome DevTools Protocol endpoint (your grid, docker, Playwright MCP-managed browser)stagehand or builtinnone
browserbaseBrowserbase cloud browsersstagehand onlyBROWSERBASE_API_KEY / BROWSERBASE_PROJECT_ID
lambdatestLambdaTest / TestMu AI cloud gridbuiltin (auto)LT_USERNAME / LT_ACCESS_KEY
browserstackBrowserStack Automate cloud gridbuiltin (auto)BROWSERSTACK_USERNAME / BROWSERSTACK_ACCESS_KEY

LLM backends (who does the thinking) β€” open source first

Default model is auto, resolved in this order:

  1. Ollama running locally β†’ ollama/<OLLAMA_MODEL or first installed model> β€” free, open source, no keys
  2. ANTHROPIC_API_KEY set β†’ claude-opus-4-8
  3. OPENAI_API_KEY set β†’ openai/gpt-4.1
  4. otherwise: error with setup guidance
BackendModel flagNeeds
Ollama β€” local, free, OSS (preferred)auto or ollama/<model> e.g. ollama/qwen3Ollama running; OLLAMA_BASE_URL to override http://localhost:11434/v1, OLLAMA_MODEL to pin auto-detection. Same flag works for any OpenAI-compatible server (vLLM, LM Studio, llama.cpp).
Anthropicclaude-opus-4-8ANTHROPIC_API_KEY
OpenAI / Googleopenai/gpt-4.1, google/gemini-2.5-flashprovider key (Stagehand engine)
OpenRouter β€” hundreds of models, one keyopenrouter/<vendor>/<model> e.g. openrouter/anthropic/claude-sonnet-4-6, openrouter/meta-llama/llama-3.3-70b-instructOPENROUTER_API_KEY (https://openrouter.ai/keys); override endpoint with OPENROUTER_BASE_URL
Anthropic-compatible gatewayclaude-* + ANTHROPIC_BASE_URLbuiltin engine routes through any Anthropic-compatible endpoint (e.g. a LiteLLM proxy fronting local models)

Fully free / open-source stack (the default)

bash
ollama pull qwen3                 # or any tool-capable local model
browserbash run "Open https://example.com and store the heading as 'h1'"

Stagehand engine (MIT) + local Chromium + Ollama (MIT) β€” zero cloud cost, no API keys. Tip: small models (≀8B) are flaky on multi-step objectives; Qwen3 / Llama 3.3 70B class works best.

Note: cloud-grid providers (lambdatest, browserstack) use the builtin engine, which speaks the Anthropic API β€” pair them with ANTHROPIC_API_KEY or an ANTHROPIC_BASE_URL gateway.

Install

Terminal
npm install
npm run build
npm link        # exposes the `browserbash` command

Requires Node β‰₯ 18 and Google Chrome stable (for the local provider).

Quick start

server.ts
export ANTHROPIC_API_KEY=sk-ant-...

# One-shot objective, local browser, Stagehand engine (default)
browserbash run "Open https://news.ycombinator.com and store the top story title as 'top_story'"

# Browserbase cloud (Stagehand native)
export BROWSERBASE_API_KEY=... BROWSERBASE_PROJECT_ID=...
browserbash run "..." --provider browserbase

# Cloud grid (auto-switches to builtin engine)
export LT_USERNAME=... LT_ACCESS_KEY=...
browserbash run "..." --provider lambdatest --headless

# Attach to an existing browser (CDP / Playwright MCP)
browserbash run "..." --cdp-endpoint ws://localhost:9222/devtools/browser/<id>

# Force the builtin engine
browserbash run "..." --engine builtin

Agent mode (for AI coding tools & CI)

--agent switches stdout to NDJSON β€” one JSON object per line, stable schema:

bash
browserbash run "<objective>" --agent --headless --timeout 120
  • Progress events: {"type":"step","step":1,"status":"passed","action":"navigate","remark":"...","cached":false}
  • Terminal event: {"type":"run_end","status":"passed|failed|error|timeout","summary":"...","final_state":{...},"duration_ms":...,"provider":"local","cache":"hit|miss|off","tokens_in":...,"tokens_out":...,"test_url":"..."}

Exit codes: 0 passed Β· 1 failed Β· 2 error Β· 3 timeout. cached, cache, tokens_in/tokens_out are additive fields (present when relevant), so existing consumers are unaffected.

Full agent integration guide: docs/agents.md.

MCP server (agents consume BrowserBash natively)

BrowserBash is a validation layer for AI agents: your coding agent builds a feature, BrowserBash proves it works in a real browser. One line plugs it into any MCP host:

Terminal
claude mcp add browserbash -- browserbash mcp     # Claude Code
# Cursor / Windsurf / Zed / Codex: command "browserbash", args ["mcp"]

Tools exposed: run_objective (one plain-English objective), run_test_file (a *_test.md), run_suite (a folder, parallel). Each returns the structured verdict JSON: status, summary, final_state, assertions, cost_usd, duration_ms. A failed test is a successful validation, so the tool call succeeds and the agent reads the verdict. No extra dependencies, stdio only, nothing leaves your machine.

Dashboards

Every run is kept in a private on-disk store (~/.browserbash/runs, secrets masked, capped at 200). Two ways to see them:

Local dashboard β€” free, no account, fully local:

bash
browserbash dashboard                 # serve http://localhost:4477 and open it
browserbash run "..." --record --dashboard   # run, then open the dashboard on this run
browserbash dashboard --clear         # wipe the local store

Left panel lists your runs; the main pane shows the verdict, extracted values and the recording β€” with --record you get a screenshot plus a session video (stagehand engine, video needs ffmpeg, bundled) or a native Playwright trace you can open at trace.playwright.dev (builtin engine). Nothing leaves your machine.

Cloud dashboard β€” optional, opt-in per run: a hosted dashboard at browserbash.com/dashboard with run history across machines and shareable per-run pages.

bash
browserbash connect --key bb_...      # one-time, key from browserbash.com/dashboard
browserbash run "..." --record --upload   # push THIS run (verdict + recording) to the cloud

Without --upload nothing is sent to the cloud. BrowserBash is free and open source; cloud runs are kept 15 days.

Replay cache (warm runs skip the model)

A green run records the actions it took. The next identical run replays them with zero model calls, and the agent only steps back in when the page actually changed. Steady-state suites run at close to script speed and cost.

bash
browserbash testmd run ./checkout_test.md            # run 1: records the journal
browserbash testmd run ./checkout_test.md            # run 2: replays, no model
browserbash testmd run ./checkout_test.md --no-cache      # ignore the cache for this run
browserbash testmd run ./checkout_test.md --refresh-cache # wipe this test's entry, re-record

run_end.cache reports hit / miss / off. On by default; config set cache.enabled false to disable, cache.dir to relocate (default .browserbash/cache, gitignored by init). Secrets never enter the cache: values arrive through the variables channel (Stagehand) or are re-templatized to {{name}} tokens (builtin), and any cached action that types a secret is origin-pinned β€” replaying it on a different origin fails closed. Builtin journals are also HMAC-signed with a per-machine key (~/.browserbash/cache.key); an edited or foreign journal is ignored and simply re-recorded. CI fleets that want to share committed caches can set the same BROWSERBASH_CACHE_KEY (64 hex chars) on every runner.

Parallel suites (run-all)

Run a whole folder of *_test.md files at once with memory-aware scheduling:

bash
browserbash run-all .browserbash/tests --concurrency 8 --junit out/junit.xml

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Browserbash

We don't have a confirmed install command for browserbash yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/PramodDutta/browserbash) for the current steps.

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Technical Specs & Signals

CategoryπŸ“‚Browser Automation
More technical detailsExpand β–Ύ
Last updatedJul 10, 2026
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 10, 2026
32Quality signal: Emerging Β· 32/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools11/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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