GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Debugging experiments for coding agents: reproduce failures and verify fixes with test evidence.
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。
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。
选择你使用的 AI 应用,然后复制设置。
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": {
"failtrace": {
"command": "npx",
"args": [
"-y",
"failtrace",
"mcp",
"--cwd",
"your-value"
]
}
}
}在终端中运行这条命令
claude mcp add failtrace -- npx -y failtrace mcp --cwd your-value这个服务器需要在启动命令中填入值,请复制设置后自行填写。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"failtrace": {
"command": "npx",
"args": [
"-y",
"failtrace",
"mcp",
"--cwd",
"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。
这个服务器需要在启动命令中填入值,请复制设置后自行填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"failtrace": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"failtrace",
"mcp",
"--cwd",
"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。
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。
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
注册名称已通过 GitHub 账户 LBarimi 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
GitHub 仓库最后更新于–,最新版本(1.5.0)于2个月前进入注册中心。
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。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
Reproduce the failure. Check the fix.
A test fails intermittently. Your coding agent changes the code. One passing retry leaves you guessing.
FailTrace repeats the same check, saves a failing baseline, and checks the proposed fix against it. Use the CLI or MCP tools to get trial results, a smaller reproducer, and evidence your agent can inspect before accepting a patch.
Local execution. No AI API, account, or telemetry required. Keep your existing test runner and assertions.
With Node.js 22.12+ and npm, run this in any working directory:
npx --yes failtrace demo
Static walkthrough · Static poster · Demo guide
The demo reduces six input items to ["BUG"], rejects a patch that crashes for another reason, and checks a working patch. It saves the evidence in .failtrace/ and prints a replay command.
Connect the local stdio MCP server through your client's configuration:
npx --yes failtrace@1.5.0 mcp --cwd "/absolute/path/to/your/project"
[Copy the MCP configuration and check the connection →](docs/AGENT-WORKFLOWS.md#mcp-client-configuration-and-windows-paths)
Your client launches this command. Running it alone in a terminal waits for MCP requests. The guide includes Windows setup.
Then ask your agent:
Use FailTrace to capture this test failure before editing. Choose the exact test or failure message, save a bounded baseline, and inspect the matching trial. After the change, verify against that baseline and explain any unrelated errors or incomplete evidence.
The seven MCP tools share the CLI's Core engine. They retain the failure signature and investigation evidence across repetition, comparison, regression search, minimization, verification and replay. Agents can retrieve saved trial and log pages without rerunning the command. Shell-capable agents can also use the CLI with --json.
The agent can inspect the saved failure before checking the patch.
Follow an exact NUnit or Unity test through a fix. Each attempt gets a fresh NUnit 3 report. Missing or skipped tests and unrelated failures stay inconclusive, so an agent cannot accept them as evidence that the selected test passed.
Connect your test or try the original EditMode example →
NUnit support is included in 1.3.0 through CLI and MCP. The documented Unity validation covers the Windows EditMode example.
The selected test stays the same; a skipped report is not accepted as a passing test.
From your project, replace the command and message with your own:
npx --yes failtrace@1.5.0 run "npm test -- checkout" --repeat 20 --stderr-contains "checkout failed" --capture-context
Run this before editing in a Git project. --capture-context records source identity for Verify; outside Git, select files with --context-source. Each trial saves its output, and exit 1 can mean the target was captured successfully. Then edit and verify the patch →
| Your next question | Command |
|---|---|
| How often does this failure appear? | run |
| What differs between a healthy and failing trial? | compare |
| Which Git change introduced it? | bisect |
| What input is enough to reproduce it? | minimize |
| What happened after the proposed fix? | verify |
| How can I replay this investigation? | bundle |
Command reference · Literal executable arguments · Reusable project scripts
The demo's bundle reproduces its original failure with exit 1. Keep the source, input and replay together; supply the target's prerequisites when packaging your own investigation.
FailTrace reports observations under the chosen settings. Verify separates a target observed, a healthy sample without that target, and inconclusive evidence. Bisect reports a sampled first-parent boundary; minimization rechecks its result without promising the smallest possible input.
The demo shows controlled example outcomes, not performance measurements. A passing sample does not prove a bug is gone.
Commands run with your permissions, and process cleanup is best effort. Retained stdout/stderr is capped by default at 16 MiB per trial and 256 MiB per run or bisect/minimization. Previous investigations accumulate separately. Review logs, commands and selected files before sharing; bundles still require the target's dependencies and setup.
Result and exit-code reference · Resource limits · Storage inventory · Bundle guide
The quick start uses npm's latest release; the verified version is 1.5.0. MCP configuration and repeatable installation examples keep that exact version pinned: installation options, GitHub release, and MCP Registry entry.
Version 1.5.0 adds: short run references, Verify readiness and next-step guidance, and intermittent-minimization guidance. See the changelog.
[Documentation: choose your next task →](docs/README.md)
Development instructions · Compatibility · Roadmap · Third-party notices