Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Observe any running process from your agent. strace, py-spy, perf, lsof, tcpdump as evidence.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add debuganything -- npx -y debuganything serve프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"debuganything": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 shreyassaw5394 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.0)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Rystic
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Start, seed, clock, inspect and diff Rystic API simulators from your agent.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요