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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Debugai MCP

作者:1shizaan版本 2.9.0i★ –i在你的电脑上运行
注册名称io.github.1shizaan/debugai-mcp

安装

概览

作者提供的说明(英文原文)

MCP server for DebugAI. Browser sign-in, auto client setup, no key pasting.

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: 网页与浏览器
  • 你需要填写:DEBUGAI_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: DEBUGAI_API_KEY, DEBUGAI_API_BASE, DEBUGAI_TIMEOUT_MS, DEBUGAI_CONFIG_PATH

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

  • 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 …”。

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

{
  "mcpServers": {
    "debugai": {
      "command": "npx",
      "args": [
        "-y",
        "@debugai/mcp"
      ],
      "env": {
        "DEBUGAI_API_KEY": "your-value",
        "DEBUGAI_API_BASE": "your-value",
        "DEBUGAI_TIMEOUT_MS": "your-value",
        "DEBUGAI_CONFIG_PATH": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add debugai --env DEBUGAI_API_KEY=your-value --env DEBUGAI_API_BASE=your-value --env DEBUGAI_TIMEOUT_MS=your-value --env DEBUGAI_CONFIG_PATH=your-value -- npx -y @debugai/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": {
    "debugai": {
      "command": "npx",
      "args": [
        "-y",
        "@debugai/mcp"
      ],
      "env": {
        "DEBUGAI_API_KEY": "your-value",
        "DEBUGAI_API_BASE": "your-value",
        "DEBUGAI_TIMEOUT_MS": "your-value",
        "DEBUGAI_CONFIG_PATH": "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": {
    "debugai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@debugai/mcp"
      ],
      "env": {
        "DEBUGAI_API_KEY": "your-value",
        "DEBUGAI_API_BASE": "your-value",
        "DEBUGAI_TIMEOUT_MS": "your-value",
        "DEBUGAI_CONFIG_PATH": "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

  • DEBUGAI_API_KEY 机密 env
    Optional. Overrides browser sign-in (npx -y @debugai/mcp setup).
  • DEBUGAI_API_BASE env
    Optional. API base URL, for a staging or self-hosted setup. Defaults to DebugAI production.
  • DEBUGAI_TIMEOUT_MS env
    Optional. Deadline in milliseconds for a debug_error call. Defaults to 150000.
  • DEBUGAI_CONFIG_PATH env
    Optional. Alternate location for the config file that holds the stored key. Defaults to ~/.debugai/config.json.

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 1shizaan 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“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 881 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 881 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 881 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

Debugai 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:DEBUGAI_API_KEY

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(2.9.0)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。你的电脑上还需要有 Node.js。

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-2.016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。

@debugai/mcp

Give your coding agent a debugger instead of a grep loop.

Your agent hands an error to debug_error and gets back the root cause, the exact file and line, and up to 3 ranked fixes as ready-to-apply edits. Each fix is labeled with whether a mechanical check actually passed, so the agent knows which ones were checked and which are the model's own estimate.

Before any of that, lookup_error asks your project's memory whether this error has happened here before and which fix held. It makes no model call and does not count against your limit, so an agent can afford it on every failure. In Claude Code a hook runs it for every failed command without the agent having to remember.

Auto-configures Claude Code, Claude Desktop, Cursor, Windsurf, Zed, Gemini CLI, and Cline. Works in any other MCP client with a manual entry. Node 18.14.1 or later.

New in 2.7.0: machine-applicable edits now name the file their code is actually in, the tools say to call them the moment something fails rather than waiting for you to paste an error, and a server that has fallen behind says so once per session instead of in the middle of every diagnosis. A server started in your home folder, a folder above it or the filesystem root no longer treats that as a project: it reads no local files until the agent names a projectRoot. See the changelog.

If a fix does not work, tell me and I will fix it. The fixes that did not work are how most of this release got written. [Dashboard → Messages](https://debugai.io/dashboard?tab=messages&src=npm-readme), with the error you sent and what the fix did instead. It reaches the person who builds this.

Setup

npx -y @debugai/mcp setup

That is the whole thing. It signs you in through your browser (no key to find or copy), writes the config for every MCP client it finds on this machine, then checks that all of it actually works.

Restart the clients it names and your agent has the tools.

Prefer to read first? debugai.io/start?src=npm walks the same thing per client.

What that command does to your machine

Worth knowing before you run something that edits your editor config:

  • Signs you in with a short code you confirm in the browser. Free account, 10 debugs a day, no card.
  • Stores your key in ~/.debugai/config.json with 0600 permissions. That is the only file that ever holds it.
  • Adds a debugai entry to the config of each MCP client it detects. Every file is backed up first ( .debugai-backup- ), every other setting in the file is preserved, and a file it cannot parse is left alone and reported instead. One caveat stated plainly: if your config contains comments, the rewrite drops them, because JSON has nowhere to put them. install writes first and tells you afterwards, and the backup still has them. install --dry-run tells you before anything is written.
  • Skips VS Code by default, because the DebugAI extension already registers this server there and a second entry would show every tool twice. install --client=vscode does it anyway if you want the server without the extension.
  • Never writes your key into a client config. Client configs get committed to repos. Keys should not.

Preview it without writing anything:

npx -y @debugai/mcp install --dry-run

Undo all of it:

npx -y @debugai/mcp uninstall   # removes the entry from every client config

npx -y @debugai/mcp logout # removes the stored key

Commands
CommandWhat it does
setuplogin then install, then verifies. The one you want.
loginBrowser sign-in. --key dbg_… to paste a key instead (CI, air-gapped boxes). --force to re-link.
logoutRemoves the stored key.
statusWhich key and account are active right now.
installWrites client configs. --list, --client=cursor, --all, --dry-run, --remove.
uninstallRemoves the entry from every client config.
doctorDiagnoses a broken setup: key, API reachability, per-client wiring, a config entry with no version, a key sitting in plain text in a client config.
hookThe Claude Code hook. Reads a failed command from stdin and prints what project memory knows. See Claude Code hook.

npx -y @debugai/mcp install --list prints every supported client, where its config lives on your OS, and whether DebugAI is already in it.

Signing in from inside a chat

If your agent calls a DebugAI tool before you have signed in, the tool answers with a short code and a URL instead of an error. Confirm it in the browser, tell the agent to try again, and the call goes through. No config editing, and no client restart, because the key is re-read on every call.

The tools

The loop they are built for: a command fails, lookup_error answers from memory in under a second, a confirmed fix is applied and the command re-run. When memory has nothing, debug_error does the analysis. Either way report_outcome says what happened, which is what the next lookup reads.

lookup_error

Has this project seen the error before, and what held? (2.6)

InputRequiredDescription
errorTextyesThe error or stack trace, as you would pass it to debug_error.
projectRootnoAbsolute path of the repository the error came from, when the agent was started somewhere else.
filePathnoAn absolute path inside that repository. Its git root names the project.

It is two small database reads and no model call, so it is free: it does not count against the debug limit (a separate, generous rate limit keeps it honest). It returns how many times the error was seen in this project and when, the stored fix and what state it is in, and fixes this project recently reported as failed:

  • confirmed: somebody applied it and said it worked. The answer says whether a live session watched the error stop or it was only accepted, because those are different amounts of evidence.
  • unproven: it was applied and the error has come back once since. Check it against the code as it is now.
  • anti-pattern: the error came back two or more times after it. The answer names it as the thing not to do.

A miss says so and points at debug_error. The text of the error is prepared exactly as a debug prepares it, credentials redacted first, so a lookup and a debug of one failure read the same memory row. A lookup writes nothing: it is not a debug and not a sighting.

debug_error

Give it an error, get an analysis.

InputRequiredDescription
errorTextyesFull error message, exception, or stack trace. A bug with no error text works too: say what you expected, what happened instead, and include the code in between.
languagenoauto (default), or name it: javascript, typescript, python, java, csharp, go, rust, cpp, c, php, ruby, kotlin, swift, lua, shell, powershell, sql, html, css, scala, dart, elixir, r, perl. Leave it on auto unless you have a reason: the server reads the error text and is right about it almost always. A name that is not on this list (markdown, cobol) is not an error: it is treated as auto.
codeSnippetnoUsually unnecessary, see below. Overrides the local read when given.
snippetStartLinenoWith codeSnippet: the line of the file that the first line of the snippet is. Pass it when the snippet is a window from the middle of a file. Without it the lines are counted from 1, and an error that says Line 44 cannot be matched to a 15-line snippet. (2.7)
filePathnoPath to the file that threw. An absolute path also names the repository the error belongs to.
projectRootnoAbsolute path of the repository, when the agent was started somewhere else. Project memory and local reads are scoped to it. (2.6)
reproCommandnoThe command that shows the failure: a test, a script, a curl. Fix #1 is aimed at making it pass, and each fix's check becomes this command instead of a syntax check. DebugAI never runs it. Up to 500 characters. (2.6)
expectednoWhat reproCommand should print or do once the bug is fixed. Up to 500 characters. (2.6)

Returns the root cause, up to 3 fixes ranked by confidence, the detected framework, and whether the answer came from cache. Each fix also carries, where derivable: edits (exact old/new strings your agent's edit tool can apply directly), unified_diff, and verify_with, the check to run after applying. With reproCommand that check is your command and the result you said to expect; without it, a syntax-level check. It never writes to your files and never runs your reproduction. Applying a fix is your agent's call, and yours.

An error longer than the 3,000 characters the API accepts is cut rather than refused: the start (where JavaScript, Java and .NET print the error) and the end (where Python prints it) are kept, the middle goes, and the answer says so. The same cut is made by lookup_error and the hook, so all three read one memory row for one failure. (2.6)

A footer on every answer names the project it was filed under, says when memory was off for it and why, and gives the version of this server and the engine build that answered. A session running on an old copy can see that it is, and an answer can be traced to the code that produced it. (2.6)

Every fix is labeled with its verification state, and there are three of them, not two: verified (a mechanical check passed, currently parse and import classes), failed check (confidence capped hard), or not verified (the confidence number is the model's own estimate, nothing checked it). We label the third case instead of hiding it.

It reads the source the trace names (2.2)

Paste a raw traceback and nothing else. This server runs on your machine, so it resolves the files in the stack trace and sends the relevant code along. Before 2.2 it could not, and an error pasted without code came back as *"Insufficient context for specific fix"* at 20% confidence. That was the common case, not the edge one.

The response names every file it read (Read locally: src/api.ts, src/db.ts, and local_files_read in the structured payload), so a wrong guess is visible rather than silent.

Exactly what it will and will not read:

  • Inside your project only. The boundary is your git repo root, or the working directory when that is not a repo. When that is your home directory, a folder above it or the filesystem root there is no boundary to read inside, so nothing local is read and the reply says so; pass projectRoot to name the project. It is checked *after* symlinks resolve, so a path in an error message cannot walk out of the project: ../../.ssh/id_rsa and a symlink pointing outside both fail the same check.
  • Source files only, by extension allowlist (.ts .tsx .js .jsx .mjs .cjs .py .pyi .go .rs .rb .java .kt .kts .scala .groovy .gradle .php .cs .swift .dart .c .cc .cpp .h .hpp .ps1 .psm1 .psd1 .vue .svelte). .env, .pem, key files, dumps and images are not on it, so they are never candidates.
  • Bounded: at most 3 files, none over 2 MB, and 50,000 characters in all. A large file is sent as a ±40-line window around the failing line rather than whole. Windowed blocks say so.
  • **Vendored code is sk

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