Browser Use
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Description from the maker (original English)
Browser MCP for logged-in tasks. Uses your Chrome — credentials stay local. Zero-token replay.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://mcp.taprun.dev/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"tap": {
"command": "npx",
"args": [
"-y",
"@taprun/cli"
]
}
}
}Run this in your terminal
claude mcp add --transport http tap https://mcp.taprun.dev/mcpclaude mcp add tap -- npx -y @taprun/cliPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tap": {
"url": "https://mcp.taprun.dev/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tap": {
"command": "npx",
"args": [
"-y",
"@taprun/cli"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"tap": {
"type": "http",
"url": "https://mcp.taprun.dev/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"tap": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@taprun/cli"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://mcp.taprun.dev/mcpMenu names can differ slightly by plan and over time.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
captureCreate a tap from URL × intent (local install only).
verifyRead-only substrate check (local install only).
markResolve uncertain intent (local install only).
runExecute a saved tap. On this edge demo, runs the tab-free demo taps. ref = demo/ .
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account LeonTing1010, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 152 ms (HTTP 200)
No sign-in needed
Read 4 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.30.1) reached the registry today.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.
Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.
MCP server for browser use access
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Taprun
The action layer your agent drives in your own logged-in browser — for the exception-heavy, compliance-critical last 20% that clean APIs can't reach. Compiled once, replayed forever at zero LLM tokens.
Homepage | Blog | Verified Claims | 📬 Drift Alerts | 中文
Your agent's closed-loop action layer for the browser — the login-gated, exception-heavy, compliance-critical last 20% that clean APIs and cloud agents can't reach. Driven in your own Chrome, captured once, replayed forever at zero LLM tokens.
As APIs get walled off and metered, the work that survives lives behind logins, OTP walls, and human-gesture gates — the exceptions, approvals, and compliance steps a cloud agent architecturally can't touch. Taprun is the action layer for exactly that: your agent drives your real, already-logged-in Chrome, closes the loop (act → verify the effect → re-run on drift), and hands you a deterministic replay you own.
Every other browser agent re-runs a live LLM — and re-burns tokens — on every execution. Taprun's AI agent inspects the page once and emits a deterministic .flow.json program; every replay after that is pure data dispatch — same result every call, $0 in tokens, no agent in the loop. It runs in your real Chrome, so cookies and login sessions stay on your machine by architecture. tap verify catches breakage before your data goes stale.
Works with Claude Code, CodeBuddy, Cursor, Cline, Windsurf, and any MCP host — install straight from the chat window. Forge a tap from any URL on demand — no catalog needed.
Capture: AI inspects the site → compiles a .flow.json program (one-time cost)
Run: The program executes instantly, same result every time ($0, zero AI) Verify: tap verify checks the snapshot equivalence predicate (catches drift) Repair: re-run capture against the same site/name; the next (only when needed) verify rebaselines after human review
| Taprun | AI Browser Agents | Traditional Scrapers | |
|---|---|---|---|
| AI cost per run | $0 (compile once) | Tokens every run | Free |
| Accuracy | Deterministic | Varies per run | Deterministic |
| Silent failure detection | Per-tap CEL snapshot_equivalent predicate + 4-arm verdict | None | None |
| Breakage diagnostics | tap verify — exact diff of what changed | None | Manual spot checks |
| Detection risk | Low (real browser sessions) | High | High |
| Runtimes | 2 (Chrome extension + Playwright) | 1 | 1 |
| Code inspectable | .flow.json — bare JSON, 18-op closed vocabulary, git diff | Black box / ephemeral | Fragile scripts |
| MCP native | Yes (authoring layer only — execution is zero tokens) | No | No |
Claude Code / CodeBuddy — paste two lines into the chat, nothing else:
/plugin marketplace add LeonTing1010/taprun
/plugin install tap@taprun
That installs the Taprun MCP server plus the skills that teach your agent when to use it and the hook that routes walled fetches to Taprun — no terminal, no config file. (CodeBuddy wires plugin MCP servers at startup only, so fully restart it once after installing; Claude Code picks them up with /reload-plugins.)
Any other MCP host (Cursor · VS Code · Claude Desktop) — one command writes the config for you:
npx -y @taprun/cli embed cursor # or: vscode | claude-desktop | claude-code | codebuddy | qwen
The binary self-copies to ~/.tap/bin and your agent's MCP config is written. Re-check anytime with tap embed --verify.
Using a coding agent that isn't in that list?
tap embedtargets are *data, not code*: drop a row into~/.tap/embed-targets.jsonand the new agent works immediately — no engine release. Each row names one of four install *kinds* (cc-pluginfor Claude-Code-plugin hosts,cli-mcp-addfor CLIs with amcp add,ide-deeplink,desktop-bundle), e.g.[{"id":"kode","kind":"cc-plugin","display":"Kode CLI","tier":1,"cli":"kode"}]. Same doctrine as the rest of Taprun — the engine stays closed and mechanical; you extend it in local data.
Now pick your runtime — **the extension is only needed to reuse your *live* logged-in Chrome:**
npx; you're done. Append --no-extension for a fully in-chat Playwright runtime with its own isolated profile (no browser gesture, no click).npx already downloaded — no second download) and registers the native-messaging manifest, then opens the extension page. The single [Add to Chrome](https://chromewebstore.google.com/detail/tap/llcidejeoobdegbkolbjhfoeckphldce) click is the only step that isn't a chat action — it *is* the trust gate that lets Taprun reuse your existing login, and the in-flight call resumes automatically once it lands.tap.mcpb and double-click.Other install paths (brew · curl · manual MCP JSON · raw binaries)
brew install LeonTing1010/tap/taprun # Homebrew (macOS / Linux)
curl -fsSL https://taprun.dev/install.sh | sh # permanent binary npx -y @taprun/cli --version # zero-install (any Node host)
Manual MCP config, if you'd rather write it yourself:
{ "mcpServers": { "tap": { "command": "npx", "args": ["-y", "@taprun/cli", "mcp", "stdio"] } } }
| Platform | Download |
|---|---|
| macOS (Apple Silicon) | tap-macos-arm64 |
| macOS (Intel) | tap-macos-x64 |
| Linux | tap-linux-x64 |
| Windows | tap-windows-x64.exe |
Run the first entry of the claims ledger — the exact verification its nightly CI runs:
mkdir -p ~/.tap/flows/github
curl -fsSL https://raw.githubusercontent.com/LeonTing1010/tap-skills/main/claims/2026-07-11-github-trending-has-no-api/plan.json \ -o ~/.tap/flows/github/trending-no-api.flow.json tap github/trending-no-api
"state": "committed" plus today's trending repos at zero tokens = your install works and the claim holds.
tap capture https://news.ycombinator.com hn/front --intent "front-page stories with points"
tap hn/front # replay forever, $0
Or just ask your AI agent:
You: What's trending on GitHub today?
Agent: Here are today's top repos — React compiler hit 734 stars...
You: Capture a tap for Douban top 250 movies Agent: Done. Run tap douban/top250 anytime — $0 per run.
Skip MCP — call the tap binary from your own loop:
tap capture <url> hackernews/top --intent "front-page top stories"
tap hackernews/top --args '{}' # JSON-on-stdout, exit 0 on success tap verify hackernews/top # 3-arm verdict (live / drifted / unreachable)
The CLI emits ToolResult envelopes as JSON — same shape the MCP surface returns — so any language with a subprocess library can drive it. See tap --help for the full verb list.
Don't rewrite. Convert with one of the open-source adapters — drop your existing source in, get a Taprun-compatible .flow.json plan out:
# Existing Playwright script (47M weekly npm downloads — most likely the one you have)
npm install @taprun/from-playwright @taprun/spec node -e "import('@taprun/from-playwright').then(m => console.log(m.playwrightToTap(require('fs').readFileSync('tests/login.spec.ts','utf8'), {site:'example', name:'login'})))"
npx create-tap-script github/trending https://github.com/trending
| Adapter | Source format | Coverage |
|---|---|---|
@taprun/from-playwright | .ts/.js Playwright tests | 8 page.* APIs (goto/click/fill/type/press/waitForSelector/waitForTimeout/screenshot) |
@taprun/from-puppeteer | .ts/.js Puppeteer scripts | 7 page.* APIs + page.keyboard.press |
@taprun/from-stagehand | .ts/.js Stagehand scripts | Hybrid: deterministic page.* mapped to plan ops; NL act/extract/observe flagged for honest verify verdicts |
create-tap-script | (none — scaffolder) | Generates a starter .flow.json envelope from / |
The format itself is documented at @taprun/spec — the public protocol surface package: TypeScript types for the v2 Plan (18-op closed union + discriminated read/write Plan union) + JSON Schema 2020-12 with $id resolvable at taprun.dev/spec/plan-v1/schema.json, bidirectionally drift-guarded against the TS types. Third-party tooling (IDE $schema autocomplete, ajv-equivalent validators in Python/Ruby/Go, governance layers, alternative runtimes, MCP hosts with plan-aware permission scoping) builds against this package without depending on the proprietary Taprun engine. Plan-v1 reference: taprun.dev/spec/plan-v1. Source for all five packages: packages/ (see packages/README.md for the workspace overview).
Read — Extract data from any website
tap reddit/hot # Reddit front page
tap bilibili/trending # Bilibili trending tap arxiv/search --keyword "LLM"
Only the beginning is shown; read the rest in the repo