Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Observe any running process from your agent. strace, py-spy, perf, lsof, tcpdump as evidence.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add debuganything -- npx -y debuganything servePégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"debuganything": {
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"debuganything": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"debuganything",
"serve"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub shreyassaw5394, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.1.0) llegó al registro anteayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Python MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Local-only Python MCP server for the Files.com API.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo