原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Tap

作者:LeonTing1010版本 0.30.1i★ –i电脑或云端
注册名称io.github.LeonTing1010/tap

安装

概览

作者提供的说明(英文原文)

Browser MCP for logged-in tasks. Uses your Chrome — credentials stay local. Zero-token replay.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.taprun.dev/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "tap": {
      "command": "npx",
      "args": [
        "-y",
        "@taprun/cli"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http tap https://mcp.taprun.dev/mcp

或者在你的电脑上运行

claude mcp add tap -- npx -y @taprun/cli

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "tap": {
      "url": "https://mcp.taprun.dev/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "tap": {
      "command": "npx",
      "args": [
        "-y",
        "@taprun/cli"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "tap": {
      "type": "http",
      "url": "https://mcp.taprun.dev/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "tap": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@taprun/cli"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.taprun.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • capture

    Create a tap from URL × intent (local install only).

  • verify

    Read-only substrate check (local install only).

  • mark

    Resolve uncertain intent (local install only).

  • run

    Execute a saved tap. On this edge demo, runs the tab-free demo taps. ref = demo/ .

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 LeonTing1010 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 152 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 4 个工具描述,未发现针对 AI 的隐藏指令

与“网页与浏览器”中的其他服务器比较i

  • 星标数多于此分类中其他 880 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 880 个服务器的 98% 更新
  • 基础检查结果等于或优于此分类中其他 880 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Tap 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.30.1)于今天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Browser Use, Chrome DevTools MCP, MCP Server Browser

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Browser Use

作者:browser-use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

电脑或云端★ 120,087MIT17天前更新
安装

Chrome DevTools MCP

作者:ChromeDevTools

MCP server for Chrome DevTools

在你的电脑上运行★ 54,821Apache-2.015天前更新
安装

MCP Server Browser

作者:bytedance

MCP server for browser use access

在你的电脑上运行★ 39,550Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

How Taprun Compares

TaprunAI Browser AgentsTraditional Scrapers
AI cost per run$0 (compile once)Tokens every runFree
AccuracyDeterministicVaries per runDeterministic
Silent failure detectionPer-tap CEL snapshot_equivalent predicate + 4-arm verdictNoneNone
Breakage diagnosticstap verify — exact diff of what changedNoneManual spot checks
Detection riskLow (real browser sessions)HighHigh
Runtimes2 (Chrome extension + Playwright)11
Code inspectable.flow.json — bare JSON, 18-op closed vocabulary, git diffBlack box / ephemeralFragile scripts
MCP nativeYes (authoring layer only — execution is zero tokens)NoNo

Get Started

1. Attach to your agent — from the chat window

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 embed targets are *data, not code*: drop a row into ~/.tap/embed-targets.json and the new agent works immediately — no engine release. Each row names one of four install *kinds* (cc-plugin for Claude-Code-plugin hosts, cli-mcp-add for CLIs with a mcp 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:**

  • Public pages / open APIs / CI — nothing more to install. The MCP server runs over npx; you're done. Append --no-extension for a fully in-chat Playwright runtime with its own isolated profile (no browser gesture, no click).
  • Logged-in sites (your bank / internal dashboard / Xiaohongshu / Zhihu) — just tell your agent "set up tap for logged-in sites" right in the chat. The tap-setup skill drives the whole bridge from the chat: it materializes the stable binary (from the engine 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.
  • Claude Desktop: download 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"] } } }
PlatformDownload
macOS (Apple Silicon)tap-macos-arm64
macOS (Intel)tap-macos-x64
Linuxtap-linux-x64
Windowstap-windows-x64.exe
2. Prove it works (~2 minutes, no login)

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.

3. Forge your own
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.

Optional: Drive the binary from your own code (TypeScript / Python)

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.

Have an existing Playwright / Puppeteer / Stagehand script?

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'})))"

Or scaffold a new starter from scratch

npx create-tap-script github/trending https://github.com/trending

AdapterSource formatCoverage
@taprun/from-playwright.ts/.js Playwright tests8 page.* APIs (goto/click/fill/type/press/waitForSelector/waitForTimeout/screenshot)
@taprun/from-puppeteer.ts/.js Puppeteer scripts7 page.* APIs + page.keyboard.press
@taprun/from-stagehand.ts/.js Stagehand scriptsHybrid: 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).

What Can You Do?

Read — Extract data from any website

tap reddit/hot                   # Reddit front page

tap bilibili/trending # Bilibili trending tap arxiv/search --keyword "LLM"

只显示了开头部分;其余内容请在仓库中阅读

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