Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Observe any running process from your agent. strace, py-spy, perf, lsof, tcpdump as 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": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}在终端中运行这条命令
claude mcp add debuganything -- npx -y debuganything serve粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"debuganything": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}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7日
注册名称已通过 GitHub 账户 shreyassaw5394 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(1.1.0)于前天进入注册中心。
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:Spec Driven Development, Remote Desktop Commander, Georgia 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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
An MCP server for Georgian public data, read from the organizations that publish it.
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。
Observe any running process. No breakpoints, no restarts, no instrumentation.
One MCP server and CLI that gives any coding agent — Claude Code, Codex, Cursor, Gemini CLI — eyes on running software: syscalls, CPU flamegraphs, thread stacks, sockets and file descriptors, packets, heap retainers, container state. Battle-tested local tools (strace, py-spy, perf, lsof, tcpdump, gdb/lldb, Node's inspector) do the observing; Debug Anything turns their output into structured evidence an agent can reason about and a human can audit.
Quick start · How Debug Anything works · What you can observe · Showcases · Workflows · Python / LangChain / CrewAI · Safety · FAQ · Roadmap · Community
npx debuganything why <pid> # or: why api-container --symptom leak
One command against any pid, container or pod: attach → the right tools for the symptom (slow / leak / hang / crash / triage) → ranked findings, every one citing evidence ids → detach. Hooking it to your agent instead: npx debuganything setup. No install at all? Paste tool output in the browser.
Website: https://debuganything.dev · Community: Discord · Discussions · Only ever download Debug Anything from this repo, the
debuganythingnpm/PyPI packages, or that site.
Step-through debuggers over MCP already exist and are good: debugmcp/mcp-debugger (7 languages), microsoft/DebugMCP (VS Code), jdwp-mcp (Java), jkolo/debug-mcp (.NET), pprof-mcp-agent (Go). They need a debug adapter, a debug port, or an instrumented/restarted target, and they assume you already know where to put the breakpoint.
Debug Anything is the layer before that: black-box observation of any pid, container or pod with zero instrumentation, turned into evidence.
mcp-debugger is for when you know where to put the breakpoint. Debug Anything is for when you don't.
They are complementary. When Debug Anything localizes a problem to a function or thread, its suggested_next includes the handoff: *"attach a step debugger (e.g. mcp-debugger) at file:function"* — and, for native symbols, *"decompile parse_frame in libfoo.so with your static-analysis tool"*. More situations: docs/examples.md.
Software is written once and runs forever, and most engineering pain is in the running part. Agents just got very good at the writing part. They are still blind to the running part — an agent can read every line of your code and still cannot tell you why the process in front of it is eating 4 GB. Observability vendors solved this for humans with dashboards. Nobody has solved it for agents.
Debug Anything is a sensory layer for software agents. The plan:
Every interface is designed so step-1 code survives to step 4: targets are abstract (pid today, container and pod now, host next), adapters are pluggable, and every result has the same evidence schema. Nothing assumes localhost.
npx debuganything why <pid|container|pod> # symptom flags: --symptom slow|leak|hang|crash
why is the whole product in one command: it runs readiness, attaches, picks the right observation battery for the symptom, and prints ranked findings with the evidence ids to back them. Everything below is that same engine, wired into your agent.
npx debuganything setup
Detects Claude Code, Codex, Cursor and Gemini CLI, shows the exact config entry it will add, backs up the file, writes it, and installs the debug-anything skill where the agent supports skills. Then restart your agent.
One-click installs:
Claude Code plugin: /plugin marketplace add shreyassaw5394/debuganything then /plugin install debuganything@debuganything · Gemini CLI: gemini extensions install https://github.com/shreyassaw5394/debuganything · Skill: npx skills add shreyassaw5394/debuganything
*My API gets slow after a few minutes — attach to it and tell me why, with evidence.*
*Something is holding port 8080. Who?*
*This Python worker hangs after ~20 requests. Find out what it is waiting on.*
The agent calls readiness, attach, then the right tools, and answers with findings that cite evidence ids — or tells you what it could not observe and why.
npx -y debuganything@1.1.0 why 12345 --symptom leak # or: slow | hang | crash | triage
debuganything why my-container --symptom crash debuganything why -- node server.js # spawn it under observation
why attaches, runs the right tools for the symptom, prints each result, and ends with a ranked summary and the report path. Skips tools readiness says you cannot run instead of failing.
npx -y debuganything@1.1.0 readiness
debuganything ps --filter node S=$(debuganything attach 12345 --json | jq -r .session_id) debuganything profile --session $S --duration 10 debuganything sockets --session $S debuganything report --session $S --md report.md debuganything detach --session $S debuganything port 8080 # who holds a port — no session needed
Every command takes --json and prints the exact ToolResult. See docs/cli.md.
cd my-project && debuganything init # .mcp.json + .cursor/mcp.json + a rule in AGENTS.md/CLAUDE.md — commit them
Every teammate's Claude Code and Cursor now gets Debug Anything from the repo, with the rule telling agents when to use it. Adoption flow day by day: docs/workflows.md.
The debug-anything skill (investigation orders, evidence rules, consent etiquette) is installed by setup for Claude Code, Codex and Gemini CLI, and is also available through skills.sh:
A second skill, inspect-product, is for auditing a whole product rather than chasing one bug: the agent walks your running app as a brand-new user, observes the runtime underneath it with these tools, and returns ranked findings that each carry a reproduction and proof. Ask it to "review the product and tell me what to fix before launch". Both skills install with npx debuganything setup.
npx skills add shreyassaw5394/debuganything
debuganything update # re-pins agent configs; or: npx debuganything@latest setup
agent ──MCP──▶ Debug Anything server ──▶ dispatcher ──▶ adapter (strace | py-spy | perf | lsof | tcpdump | gdb/lldb | inspector | docker)
│ │ build command → run with caps → write raw artifact → parse → aggregate ▼ ▼ ToolResult { findings[] ──cite──▶ evidence[] ──point──▶ artifacts[] } + limitations + suggested_next
attach resolves a target (pid, container, pod, or a command spawned under capture) into ~/.debuganything/sessions/ /. Every tool result is saved as a run (profile_cpu#2), so diff_runs can compare before/after and report can assemble the whole investigation.Finding without evidence_ids is rejected by the schema. confidence: "inferred" is allowed but must be stated. Agents only get to claim what the evidence supports. Full schemas: docs/mcp-contracts.md.readiness computes what works on this machine. Parsers are pure functions tested on real captured output. Adding one takes ~80 lines: CONTRIBUTING.md.dea_slow, dea_leak, dea_hang, dea_crash, dea_port_busy are guided investigations: the order of tools, what to look for, and the rule to never state a cause without an evidence id.New in 0.4: Java thread dumps (jstack, live or imported), Go goroutine dumps, a paste-in browser analyzer, shareable HTML reports (debuganything report --html), cross-session baseline diffs (debuganything diff --session now ' : ' ), and CI hang forensics as a GitHub Action.
| Target | What Debug Anything returns | Requirements |
|---|---|---|
Any process: sockets (inspect_sockets) | listening ports, connections grouped by remote, CLOSE_WAIT / TIME_WAIT / SYN_SENT pileups, fd count vs ulimit | lsof — Linux, macOS; no root for your own processes |
| Any process: files (inspect_files) | fds by type, fd growth ove
只显示了开头部分;其余内容请在仓库中阅读