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Errata

作者:formachines-ai版本 0.1.2i★ –i在你的电脑上运行
注册名称ai.formachines/errata

安装

概览

作者提供的说明(英文原文)

Sandbox-verified fixes where AI models write outdated code for PyPI and npm libraries

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

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: ERRATA_BASE_URL, ERRATA_TIMEOUT_MS, ERRATA_NO_TELEMETRY

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": {
    "errata": {
      "command": "npx",
      "args": [
        "-y",
        "@formachines/errata-mcp"
      ],
      "env": {
        "ERRATA_BASE_URL": "your-value",
        "ERRATA_TIMEOUT_MS": "your-value",
        "ERRATA_NO_TELEMETRY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add errata --env ERRATA_BASE_URL=your-value --env ERRATA_TIMEOUT_MS=your-value --env ERRATA_NO_TELEMETRY=your-value -- npx -y @formachines/errata-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": {
    "errata": {
      "command": "npx",
      "args": [
        "-y",
        "@formachines/errata-mcp"
      ],
      "env": {
        "ERRATA_BASE_URL": "your-value",
        "ERRATA_TIMEOUT_MS": "your-value",
        "ERRATA_NO_TELEMETRY": "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": {
    "errata": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@formachines/errata-mcp"
      ],
      "env": {
        "ERRATA_BASE_URL": "your-value",
        "ERRATA_TIMEOUT_MS": "your-value",
        "ERRATA_NO_TELEMETRY": "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

  • ERRATA_BASE_URL env
    Base URL of the Errata site (default https://formachines.ai)
  • ERRATA_TIMEOUT_MS env
    Timeout of one request to the base, in milliseconds (default 8000)
  • ERRATA_NO_TELEMETRY env
    Set to 1 to stop sending search misses (error type and scrubbed message) when search_error finds nothing

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

    注册名称已通过域名 formachines.ai 验证(注册中心会核实域名所有权)

  • … 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 32461 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32461 个服务器的 89% 更新
  • 基础检查结果等于或优于此分类中其他 32461 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

Errata 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?

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?

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(0.1.2)于4天前进入注册中心。

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 Node.js。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, dotnet-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

dotnet-mcp

作者:Skymly

MCP server for .NET symbols, XAML, source generators, and restricted workspace edit

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。

@formachines/errata-mcp

An MCP server for Errata: places where AI models write outdated code for PyPI and npm libraries, each with a fix verified in a sandbox. Three tools; stdio; no API key.

Install

Claude Code:

claude mcp add errata -- npx -y @formachines/errata-mcp

Any client with a JSON config (Claude Desktop, Cursor, Windsurf, VS Code …):

{

"mcpServers": { "errata": { "command": "npx", "args": ["-y", "@formachines/errata-mcp"] } } }

Node 20 or newer. Registry name: ai.formachines/errata.

Tools

toolinputanswer status
check_packageecosystem (pypi/npm), package, version (exact, or a range; may be omitted)found · unconfirmed_version · not_affected · no_coverage · technical_error
search_errortext: an error line, a traceback, or an entry idfound · candidates · no_match · technical_error
reportid, verdict (confirm/dispute), note (≤ 500 characters)received · merged · withdrawn · unknown_entry · invalid · rejected · technical_error

Each entry in an answer carries verdict (apply / lead / none), grade (verified / possible / not_affected / unknown), reason, wrong, right, detect, error, fails_on, verified_on, url.

Example, check_package {"ecosystem":"pypi","package":"click","version":"8.5.0"} against the live base:

{"status":"found","package":"pypi/click","installed":"8.5.0","entries":[{"id":"pypi/click/8.5.0/0001","verdict":"apply","grade":"verified","reason":"checked on click 8.5.0; installed 8.5.0; proof.auto_apply true","symbol":"click.Parameter","wrong":"parameter = click.Parameter([\"--x\"])","right":"parameter = click.Option([\"--x\"])","detect":["click.Parameter"],"error":"Can't instantiate abstract class Parameter with abstract methods _parse_decls, add_to_parser","fails_on":"8.5.0","verified_on":["8.5.0"],"url":"https://formachines.ai/errata/pypi/click/0001-click-parameter/"}]}

and the same package at a version nobody checked, "version":"8.6.0": status: "unconfirmed_version", verdict lead, reason *installed 8.6.0 is newer than the versions checked (8.5.0); one checked version is not a range*.

Rule

One rule for the server, the CLI, the skill and the site (printed in every page footer, llms.txt and the JSON agent_rule): apply a correction on your own only when the installed version is one it was checked on (versions.checked_on: fails_on and every recheck) and its proof.auto_apply is true. A newer version than the checked ones, one between works_on and fails_on, or an unknown one is lead; works_on or older is none.

Merged and withdrawn entries are never offered: answers list them under not_offered with the entry that carries a merged one now. report refuses them before sending. An unreachable base is technical_error with isError: true, never no_coverage.

Environment

variabledefault
ERRATA_BASE_URLhttps://formachines.ai
ERRATA_FEEDBACK_URL /v1/feedback
ERRATA_TIMEOUT_MS8000 per request
ERRATA_CACHE_TTL_S600 (in-process cache: one index and changelog per ten minutes)
ERRATA_LOG_LEVELwarn (logs go to stderr; the text of search_error is never logged)
ERRATA_NO_TELEMETRYunset; 1 (or DO_NOT_TRACK=1) stops the search-miss report below

Requests carry the User-Agent formachines-errata-mcp/ , so the site counts MCP traffic apart.

Search misses (since 0.1.2). When search_error finds nothing, the server sends POST https://formachines.ai/v1/miss with the source (mcp), the exception type and its message scrubbed of paths, numbers, IP addresses, hex, UUIDs, e-mails, token-like strings and quoted values other than plain names ('numpy' stays, 'my secret' becomes ), at most 200 characters. A dotted type keeps only its last part (acme.errors.BillingError → BillingError). No code, no project name, no other lines of the traceback; text with no SomeError: … line sends nothing. It is sent in the background (the answer never waits for it, a network error is ignored) and only on a miss. The receiver scrubs again, keeps no IP address and uses the list to decide which errors to cover next. ERRATA_NO_TELEMETRY=1 turns it off.

Overhead

Measured 2026-11-02 against formachines.ai: the first check_package costs 3 requests (index 5.9 kB, changelog 31 kB, the package JSON 5–12 kB), later calls in the next ten minutes only the package JSON (or nothing, when cached). search_error costs one 31 kB request for the error index. Sizes are uncompressed; since 2026-11-02 the site sends JSON gzipped, about a fifth of that on the wire. Answers are compact: 0.6 kB for click, 1.9 kB for typescript (two entries), 0.9 kB for a matched error.

What the server does not promise

  • Not a full scan. The base covers a few dozen packages; no_coverage means no corrections, not that the code is current.
  • No range proof. One checked version is not a range; newer versions are lead.
  • Not an applier. The server never edits code; apply says the base allows applying the fix as is.
  • Reports are not published. report sends to a quarantine that is rechecked in the sandbox before anything changes; a note is never shown to other agents.
  • No offline mode. Without the network every tool answers technical_error.

Check it yourself

npx -y @modelcontextprotocol/inspector --cli npx -y @formachines/errata-mcp --method tools/list

Development

npm install

npm test npm run typecheck npm pack

src/core is shared with errata-cli and kept identical in both. Tests run against a snapshot of formachines.ai/errata in test/fixtures/site (2026-11-02); npm test starts the built server over stdio with the SDK client and runs the seven acceptance cases; scripts/inspect-live.sh repeats them with MCP Inspector against the live base. server.json follows the registry schema 2025-12-11.

MIT licence. The data is CC BY 4.0 (formachines.ai/errata).

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