Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Observe any running process from your agent. strace, py-spy, perf, lsof, tcpdump as evidence.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add debuganything -- npx -y debuganything serveIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"debuganything": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto shreyassaw5394 bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.1.0) kam vorgestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Node.js auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, TF Rooms
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
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.
Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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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