Errata
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Sandbox-verified fixes where AI models write outdated code for PyPI and npm libraries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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i3 项中通过 2 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 225/周 · ★ 0
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: 开发者工具
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:3 项中通过 2 项 未通过
- 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
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。
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。
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_URLenvBase URL of the Errata site (default https://formachines.ai)ERRATA_TIMEOUT_MSenvTimeout of one request to the base, in milliseconds (default 8000)ERRATA_NO_TELEMETRYenvSet 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。
哪些应用可以使用它
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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11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)
- ✕ 未通过
仍在维护
超过一年没有代码更新,或仓库已归档
- ✓ 通过
有许可证
使用 MIT
- – 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“开发者工具”中的其他服务器比较i
- 星标数多于此分类中其他 5735 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5735 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 5735 个服务器的 27%
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 3 项适用的基础检查中通过了 2 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 仓库最后更新于今天,最新版本(0.1.3)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:REA, Netdata, Front-End Checklist
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:↓ 每周下载量i★ 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
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
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
| tool | input | answer status |
|---|---|---|
check_package | ecosystem (pypi/npm), package, version (exact, or a range; may be omitted) | found · unconfirmed_version · not_affected · no_coverage · technical_error |
search_error | text: an error line, a traceback, or an entry id | found · candidates · no_match · technical_error |
report | id, 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
| variable | default |
|---|---|
ERRATA_BASE_URL | https://formachines.ai |
ERRATA_FEEDBACK_URL | /v1/feedback |
ERRATA_TIMEOUT_MS | 8000 per request |
ERRATA_CACHE_TTL_S | 600 (in-process cache: one index and changelog per ten minutes) |
ERRATA_LOG_LEVEL | warn (logs go to stderr; the text of search_error is never logged) |
ERRATA_NO_TELEMETRY | unset; 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_coveragemeans 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;
applysays the base allows applying the fix as is. - Reports are not published.
reportsends 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).