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。
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Prufa MCP

作者:prufa-dev版本 0.2.3i★ –i在你的电脑上运行
注册名称io.github.prufa-dev/prufa-mcp

安装

概览

作者提供的说明(英文原文)

The full Prufa QA agent over MCP: audits, flows, monitors, gremlin chaos, discovery.

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他
  • 你需要填写:PRUFA_API_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 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 …”。

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

{
  "mcpServers": {
    "prufa": {
      "command": "uvx",
      "args": [
        "prufa-mcp"
      ],
      "env": {
        "PRUFA_API_TOKEN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add prufa --env PRUFA_API_TOKEN=your-value -- uvx prufa-mcp

运行前请先填写空着的值。

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": {
    "prufa": {
      "command": "uvx",
      "args": [
        "prufa-mcp"
      ],
      "env": {
        "PRUFA_API_TOKEN": "your-value"
      }
    }
  }
}

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": {
    "prufa": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "prufa-mcp"
      ],
      "env": {
        "PRUFA_API_TOKEN": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • PRUFA_API_TOKEN 机密 env
    Optional Prufa API token for authenticated/higher-tier runs. Not required for the free audit or for the server to start.

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 prufa-dev 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32497 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32497 个服务器的 15% 更新
  • 基础检查结果等于或优于此分类中其他 32497 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

Prufa MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 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?

你需要填写:PRUFA_API_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.3)于4个月前进入注册中心。

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。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Zoo MCP

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211昨天更新
安装

Zoo MCP

作者:KittyCAD

An MCP server that provides access to the Zoo API for various CAD operations and tools.

在你的电脑上运行今天更新
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。

prufa-mcp — the QA agent for your vibe-coded app

Vibe-coded apps ship faster than anyone can review them. In June 2026 we audited 49 fresh Show HN launches — 38 had a critical bug on day one: a broken signup, a silent console error, analytics that never fired, a consent banner that did nothing.

Prufa is the agent that catches those before your users do. Point it at a URL and it audits the things humans skip when they're moving fast — broken flows, JS console errors, missing tracking, consent violations, security headers, mobile tap targets, accessibility — and hands back machine-verified findings, graded A–F. This repo is the open-source MCP server that wires that audit straight into your coding agent.

30-second demo

What an audit gives you

Ask your agent to audit https://yourapp.com and prufa_run_audit returns one JSON report. Findings are grouped into graded sections, each finding carries a severity, the impact (why it matters), and a fix hint. Real output, trimmed:

{

"url": "https://yourapp.com", "headline": "2 warnings found", "counts": { "critical": 0, "warning": 2, "info": 5 }, "sections": [ { "label": "Works", "grade": "C", "counts": { "warning": 2, "info": 1 } }, { "label": "Fast", "grade": "A" }, { "label": "Found", "grade": "A" }, { "label": "Compliant", "grade": "A" } ], "check_results": [ { "check_id": "ux", "findings": [{ "severity": "warning", "title": "2 javascript console error(s) during page load", "impact": "Errors at load time often mean broken features visitors never report.", "evidence": { "count": 2, "sample": [ "Access to XMLHttpRequest at 'https://api.fontshare.com/...' blocked by CORS policy", "Failed to load resource: net::ERR_FAILED" ]} }] }, { "check_id": "mobile", "findings": [{ "severity": "warning", "title": "13 tap target(s) smaller than 24px", "impact": "Fingers are not cursors — undersized buttons mean mis-taps on exactly the elements you want pressed.", "fix_hint": "Give interactive elements at least 24x24px of hit area (WCAG 2.5.8)." }] }, { "check_id": "security", "findings": [{ "severity": "info", "title": "no Content-Security-Policy header", "impact": "Without a CSP, one injected script owns the page — and every third-party tag you load is trusted completely.", "fix_hint": "Start with a report-only CSP and tighten from real violation reports." }] } ], "report_url": "/r/G82RpzTi_zn-o71_XoMLCprP7uvCQP87" }

report_url is a shareable HTML version of the same report. The full payload also includes tracking, consent, seo/aeo, a11y, forms, and detected user flows — see the OSS surface below.

Install

The package is on PyPI. Install it globally with pipx (recommended — isolated venv, exposes the prufa-mcp binary on your PATH) or into a project venv with pip:

# Recommended — global install, isolated venv

pipx install prufa-mcp

Or, into your project venv

pip install prufa-mcp

Pin a specific version with ==, e.g. pipx install prufa-mcp==0.1.3

Verify the binary is on PATH

which prufa-mcp

Should print something like: /Users/you/.local/bin/prufa-mcp

You also need a free Prufa API key. The first audit is free, no card required.

  1. Sign in at prufa.dev (Google OAuth)
  2. Create an API key from the dashboard

Wire into your agent

The MCP server runs as a stdio subprocess, spawned by your agent on first use. The cleanest way to register it is claude mcp add (Claude Code's built-in command — it writes the config to ~/.claude.json correctly, which the ~/.claude/mcp.json path does NOT).

Claude Code (recommended path)
# Get the absolute path of the binary (use whatever `which prufa-mcp` returned)

PRUFA_BIN=$(which prufa-mcp)

Add the MCP server. The token stays out of your shell history.

read -s -p "Prufa API token: " PRUFA_TOKEN && echo claude mcp add \ --scope user \ --env "PRUFA_API_TOKEN=$PRUFA_TOKEN" \ prufa \ -- "$PRUFA_BIN"

Restart Claude Code (config is read at startup), then verify:

/mcp

You should see prufa listed as Connected, with prufa_run_audit and prufa_get_report as available tools.

Cursor / Cline / Continue (hand-edit .mcp.json)

In your project root or in ~/.config/Claude/ etc.:

{

"mcpServers": { "prufa": { "command": "/Users/you/.local/bin/prufa-mcp", "env": { "PRUFA_API_TOKEN": "your-prufa-api-key" } } } }

Restart the host app. The command path must be the absolute binary path (not ~, not $()) — those don't expand in MCP config.

Prefer config files to env vars? Drop your token in

~/.config/prufa/mcp.json instead — see ADVANCED.md.

Use it

In your agent:

> audit https://my-vibe-coded-app.com and show me the criticals

run prufa on my staging deploy

fetch the report for the audit I just ran

prufa_run_audit with wait=true (the default) blocks until the audit completes and returns the JSON report directly — typically 25–60s for a public page. If you set wait=false, the call returns immediately with the queued state plus a share_token you can poll with prufa_get_report.

What you get — the full agent surface

prufa-mcp exposes the whole product over MCP (44 tools). Point your agent at Prufa and it can audit pages, drive multi-step flows, watch for regressions, run chaos tests, run full-auto discovery, and manage the workspace + billing — no dashboard round-trip. Free/anonymous tools need no card; Pro tools return the API's 402 with a checkout link when you're not on a plan (the tool is visible, the paywall is server-side).

Audit & reports
ToolWhat it does
prufa_run_audit(url, wait=true)One-shot public-page audit; blocks and returns findings JSON.
prufa_get_report(run_id?, share_token?)Fetch a report by UUID or /r/ slug.
prufa_get_run(run_id)Poll a run's status.
prufa_list_runs(limit)Recent runs in the workspace.
prufa_get_finding(run_id, finding_key?)Persisted findings, machine-readable.
prufa_list_alerts()Alert ledger (newest first, incl. suppressions).
Workspace, usage & conversion
ToolWhat it does
prufa_setup_workspace(owner_email, name?)Create a free, no-card agent_temp workspace (7-day trial) and return an API token once. If a token is already set, returns the real workspace + trial state.
prufa_get_workspace()Current workspace + inlined usage + a trial block.
prufa_get_usage()Usage object + trial/upsell blocks — call before metered actions.
prufa_workspace_settings(...)Usage webhook, auto-recharge, email/Slack switches.
prufa_set_notifications(cells)The 9-event × {email, slack} routing matrix.
Billing (returns a URL for the human to open — never takes a card)
ToolWhat it does
prufa_upgrade_plan(tier)Stripe checkout URL for a paid plan (starter/pro/team).
prufa_buy_credits(credits)Stripe checkout URL for a one-time credit pack.
prufa_billing_portal()Stripe customer portal URL (card, invoices, cancel).
Flows (describe a journey → reviewable spec → run)
ToolWhat it does
prufa_create_flow(url, test_case, name?)Compile a plain-text test case to a draft spec.
prufa_confirm_flow(flow_id, spec?)Approve a draft — only confirmed flows run.
prufa_run_flow(flow_id, credentials?)Execute a confirmed flow.
prufa_set_flow_credentials(flow_id, credentials)Store {{VAR}} values (write-only).
prufa_edit_flow(flow_id, spec)Edit the spec (returns it to draft).
prufa_get_flow · prufa_list_flows · prufa_delete_flowRead · list · remove.
Monitors (watch a URL or flow on a schedule)
ToolWhat it does
prufa_start_monitor(url, cadence?, flow_id?)1-click monitor; returns a deploy-hook secret once.
prufa_trigger_monitor(monitor_id)Run now (rate-capped).
prufa_pause_monitor · prufa_resume_monitor · prufa_get_monitor · prufa_list_monitors · prufa_delete_monitorLifecycle.
prufa_rotate_monitor_webhook(monitor_id)Rotate the deploy-hook secret.
prufa_list_monitor_deliveries(monitor_id)Deploy-hook delivery log + CI snippets.
Gremlin (chaos QA)
ToolWhat it does
prufa_run_gremlin(url, persona?, direction?, credentials?)Imitate a difficult user; detectors verify what breaks. Mutations dry-run unless authorized; payments never execute.
prufa_rerun_gremlin(run_id)Re-run a past gremlin with the same intent + saved login.
prufa_authorize_domain(host, allow_mutation?)Allow real (non-payment) writes on a host you own.
prufa_list_gremlin_domains()List mutation authorizations.
prufa_gremlin_saved_logins()Reuse a prior login (owning workspace only — sensitive).
prufa_promote_gremlin_path(share_token, path_index)Turn a reproduced bug path into a draft flow.
Discovery (full-auto — crawl, infer flows, draft them)
ToolWhat it does
prufa_register_discovery_domain(domain)Register a domain, get the DNS TXT record to publish.
prufa_verify_discovery_domain(domain_id)Verify the DNS proof.
prufa_list_discovery_domains · prufa_revoke_discovery_domainManage authorized domains.
prufa_run_discovery(url)Crawl a verified site and draft its meaningful flows.
prufa_get_discovery(discovery_id)Run status + the flows it surfaced.

Plus prufa_health_check() (probe the server/API).

The free trial, and when to upgrade

prufa_setup_workspace mints a free `agent_temp` workspace: no card, a 7-day trial, and an included credit budget. Monitors, discovery, and full-length gremlin runs work during the trial, then need a paid plan.

The MCP makes this legible to your agent: prufa_get_usage, prufa_setup_workspace, and every metered result carry a trial block (days + credits remaining) and, when you're low on credits or near the trial's end, an upsell block with a message_for_human your agent can relay plus the exact tool to call (prufa_upgrade_plan / prufa_buy_credits). When a Pro tool is called off-plan, the 402 passes through with a checkout_url — no silent failures, no surprise charges.

Examples

Three runnable scripts in examples/:

  • examples/nextjs-app/ — audit a deployed Next.js app
  • examples/vite-spa/ — audit a Vite SPA (focuses on client-side routing audits)
  • examples/stripe-checkout/ — audit a Stripe-checkout page (payment-flow verification)

Each is a copy-pasteable demo:

export PRUFA_API_TOKEN=...

python examples/nextjs-app/audit.py https://your-nextjs-app.com

GitHub Action

Fail a PR when Prufa finds a critical regression:

# .github/workflows/prufa-scan.yml

name: Prufa scan on: [pull_request] jobs: audit: runs-on: ubuntu-latest steps:

  • uses: actions/checkout@v4
  • uses: actions/setup-python@v5 with: python-version: "3.11"
  • run: pip install prufa-mcp
  • name: Run audit env: PRUFA_API_TOKEN: ${{ secrets.PRUFA_API_TOKEN }} run: | python -c " import asyncio, sys from prufa_mcp.audit import run_audit report = asyncio.run(run_audit(url='${{ secrets.S

只显示了开头部分;其余内容请在仓库中阅读

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