Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Observe any running process from your agent. strace, py-spy, perf, lsof, tcpdump as evidence.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}ターミナルでこれを実行します
claude mcp add debuganything -- npx -y debuganything serveプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"debuganything": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント shreyassaw5394 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(1.1.0)がレジストリに届いたのは一昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Python MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
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