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subtask

de tedin7versión 0.5.9i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.tedin7/subtask

Instalar

Resumen

Descripción del creador (original en inglés)

Background sub-agents for Claude Code, Codex, Kimi and OpenCode, over MCP, with a spend cap.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Otros

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿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": {
    "subtask": {
      "command": "uvx",
      "args": [
        "subtask-mcp"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add subtask -- uvx subtask-mcp

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "subtask": {
      "command": "uvx",
      "args": [
        "subtask-mcp"
      ]
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "subtask": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "subtask-mcp"
      ]
    }
  }
}

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.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub tedin7, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Otrosi

  • Más estrellas que el 0% de los otros 32403 servidores de esta categoría
  • Publicado en el registro más recientemente que el 91% de los otros 32403 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 32403 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro subtask?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.5.9) llegó al registro hace 3 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Spec Driven Development, Remote Desktop Commander, LickityClick

Alternativas

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

Spec Driven Development

de formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Se ejecuta en tu computadora★ 440MITActualizado hace 14 meses
Instalar

Remote Desktop Commander

de desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Se ejecuta en la nube★ 211Actualizado ayer
Instalar

LickityClick

de lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

Computadora o nubeActualizado hoy
Instalar

README del creador

Abrir el README

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.

subtask

A local delegation scheduler for coding agents. One MCP server (and a twin CLI) lets Claude Code, Codex, Kimi Code or OpenCode start work in parallel, wait for it with a single call, and read back a short summary with evidence. It picks an engine that can take the job, books money and slots safely across processes, and says honestly how isolated each run is.

start_many([{task: "Fix the flaky test in tests/test_sync.py", repo: "/src/app", verify: "pytest -q tests/test_sync.py"},

{task: "List every caller of parse_date()", kind: "read", readonly: true, cwd: "/src/app"}]) -> st-4f2a91 started · sonnet-api · branch subtask/st-4f2a91 · sandbox st-77c0de started · haiku-api · /src/app · readonly wait(["st-4f2a91", "st-77c0de"]) # Claude Code shows: Subtask · 01:16 · 1/2 ended — st-4f2a91 running tests: pytest -q -> st-4f2a91 done · sonnet-api · 6m · 0.412$ · verified · ...

Summary (≤10 lines: the answer, files, commits, tests, what is left)

result("st-4f2a91", evidence=True) # JSON: base/head, changed files, observed commands, verify exit code, cost

Why

  • Save the caller's context. The worker's search, test runs and dead ends stay in its own session; the caller reads about ten lines.
  • Few round trips. start_many + one wait replace a polling loop.
  • Use whatever has room. engine="auto" filters engines that can enforce the requested isolation, are installed, fit the budget and have quota, then ranks them with an explicit utility (subtask routing explain).
  • Money is a primitive. Paid engines reserve their budget before any work, under one lock with the slot; every reservation is closed exactly once.
  • Evidence, not claims. verify="..." runs your check on the commit the worker left; result(evidence=True) separates what subtask observed from what the worker reported.

Install

The distribution is subtask-mcp (the PyPI name subtask is an unrelated project). Full guide, per client, with native commands: docs/install.md.

uv tool install "git+https://github.com/tedin7/subtask@main"   # or: uv tool install /path/to/checkout

subtask install --client all # prints the plan for every detected client subtask install --client all --yes # applies it: MCP server + skill subtask doctor --client all # checks app, config entry and a real handshake

subtask --version reports the installed Git commit when the installer records it. For local, editable, or registry installations without Git provenance it reports commit unknown.

Jev provides advisory workflow checks automatically, or only when requested:

subtask jev                 # policy, key availability and the current process's budget limits

subtask jev setup # guided setup; key input is hidden subtask jev auto # automatic routing, feedback and final delivery advice subtask jev manual # explicit review submissions only subtask jev off # block new Jev submissions

New installations start in manual mode. The policy and private key are shared by the configured clients. Enter keys through hidden subtask jev setup input or explicit stdin, never chat, argv or tool arguments. In auto, start_many appends routing advice, reply includes feedback advice, and final wait / result include evidence consistency and risk triage. Read this advice together with the existing baseline output. Routing and feedback preserve authorized work and worker instructions. manual requires explicit submissions; off blocks new ones.

These extra checks share the existing cap and deduplicate identical content. skipped, blocked and unknown are not passes; never retry an unknown send. Distinguish raw provider_choice from filtered assessment: a failed verification can veto supported deterministically, without being a Jev finding. Suggested next actions grant no authority, replace no checks, and trigger no automatic model fallback, merge, retry or release. See Jev setup and limits and the workflow study and its limits. These instructions describe the upcoming release; they do not certify a live install.

Claude Code plugin: claude plugin marketplace add tedin7/subtask then claude plugin install subtask@subtask. Codex: codex plugin marketplace add tedin7/subtask. API engines read ANTHROPIC_API_KEY from ~/.config/subtask/env (chmod 600).

Engines

enginepays withread-onlyisolation it can enforce
haiku-api, sonnet-api, opus-apiAPI key, monthly capyessandbox (Claude Code OS sandbox)
codexCodex login (quota from local session files)yessandbox (workspace-write), isolated
opencode-goopencode-go subscriptionnoworktree, isolated
kimiKimi loginnoworktree, isolated
dshDeepSeek key, same cap (subtask-mcp[dsh])noworktree
opencodeOpenCode default provider (manual only)noworktree, isolated

Add an engine without touching the core: an EngineAdapter registered under the subtask.engines entry point (see CONTRIBUTING.md).

Isolation, honestly

  • worktree (default): a git worktree and branch per writing job. It prevents collisions; it is not a host sandbox.
  • sandbox: the engine's own sandbox. Same user: a guard rail.
  • isolated: bubblewrap. Read-only system, writable worktree and git dir only, a private HOME with only the engine's own state. Needs bwrap.
  • untrusted: sandbox or stronger, and no network for the worker's commands.

A job that cannot get the policy it asked for is refused, never downgraded. Output is redacted for common secret formats before it is saved or shown; redaction is a second layer, not a guarantee. See SECURITY.md.

Tools (MCP) and CLI

toolwhat it does
start(task, kind, repo, cwd, files, readonly, engine, max_usd, effort, base, max_turns, policy, verify, isolation, max_retries, adversarial, context_refs, auto_repomap, tier, invariants, allowed_paths, symbol_scope, oracle_cmd)start one job (see below)
start_many(tasks)start several; partial success is listed per item. Items with id and depends_on form a group (grp-…) run as a DAG without extra turns; foreach= makes one copy per item of the parent's .subtask/fanout.json (at most 8), and dependents wait for every copy; after="any" starts when one parent succeeded
integrate(ids, action="apply", auto_resolve=False)worktree jobs back: diff, apply (all or nothing, uncommitted), discard; auto_resolve starts a reconciliation job on conflict
consensus(prompt, engines, verify_cmd, isolation="worktree")2 to 4 engines solve it blind in their own worktrees, then one job compares their diffs as anonymous patches and writes one solution, checked by verify_cmd and the invariants; returns a group id
bisect(good_ref, bad_ref, test_cmd, parallelism=4, auto_fix=False)first commit that makes test_cmd fail, testing up to parallelism (max 8) commits per round in temporary worktrees; returns the commit, author and diff; auto_fix starts a verified fix job
map_reduce(glob_pattern, prompt_template, batch_size=5, concurrency=3, verify_cmd, isolation="worktree")one job per batch of files ({{files}} in the template), at most concurrency at a time; returns a group id
wait(ids, timeout=300, mode="all", since=None, stall_timeout=None)block until they end (any: the first; first_success: the first done and verified, the others are stopped); returns early on a stalled job; progress notifications while waiting; since cursor for clients without progress
steer(id, action, instruction=None)hint (queued, sent as a reply when the attempt ends), abort, retry (fresh job with the instruction)
inspect(id, tail=80, grep=None)raw log lines, only when the summary is not enough
status(id) / result(id, full, evidence)one line / summary or full text or JSON envelope
reply(id, message) / stop(id) / cleanup(id)continue / stop the work / remove a clean worktree (branch kept)
engines()capacity per engine with source, freshness and confidence, plus spend

Options of start:

  • isolation="worktree": own worktree and branch (like repo=), plus SUBTASK_PORT (from 18100), SUBTASK_ID and a private TMPDIR. The result lists files_modified and diff_stat.
  • verify + max_retries: a failed check resumes the job with the output; when every retry fails, a worktree goes back to its best attempt (scored from "N passed / N failed").
  • adversarial=True: a Breaker job writes edge-case tests from the spec only; they are copied into the Builder's worktree and run with verify.
  • context_refs: file:PATH[:A-B], git:diff[:REF], subtask:ID:summary|diff, resolved before start. auto_repomap=True adds tracked files with their top-level symbols (cached per HEAD).
  • invariants (default ["no_test_deletion", "no_suppression"], [] turns them off): before verify counts, test functions may not decrease, no new skip/xfail markers, no new # type: ignore, # noqa or # pragma: no cover. A violation is a failed check with the reason, so a retry sees it.
  • allowed_paths: files changed outside these paths are put back and the revert is committed.
  • symbol_scope=["path.py::name", ...]: only those top-level functions or classes may change in those files. integrate then merges several jobs' edits to one Python file symbol by symbol; overlaps, import or constant changes, and symbols changed on the target meanwhile are a conflict, never a guess.
  • oracle_cmd: after a passing verify, runs the command on the job's base and on its result at the same time and reports whether exit code and stdout match, plus duration_ms_before, duration_ms_after, speedup_pct.
  • tier: fast (effort low), deep (effort high, kind hard), free_only. Past 75% of the monthly cap, auto and balanced go to free engines and the reply carries budget_warning.
  • Kimi's default K3-256k and supported managed model aliases accept low, high and max effort. Subtask maps medium to high and xhigh to max for those models, which can consume more quota. New sessions retain the effective effort when resumed; custom model aliases keep the requested value.

Memory: when a check fails and a retry fixes it, subtask stores a short lesson for that repository in $SUBTASK_HOME/engrams/ (at most 50, least recently used dropped). Jobs on the same paths get the top three. Groups have a blackboard file for shared notes; new notes show in wait(since=...).

CLI only: subtask board [--json] (the view the OpenCode plugin renders), subtask doctor, gc [--apply], du, roi, routing explain|calibrate, watch ID..., install, uninstall, and --model, --no-sandbox, --untrusted on start.

The gc preview reads recorded job states without settling workers; jobs recorded as active are kept. gc does not calculate file sizes, so its output reports folder counts rather than reclaimed bytes. Run subtask du separately for disk usage; scanning large stores can take time. A copy with files in .reports is kept until a collector leaves a receipt, the regular file .reports/.collected (any content; its mtime must be at least that of the newest report). Empty .reports needs no receipt.

Progress in the chat

clientduring a wait
Claude Code 2.1 (TUI)live line under the tool call, verified
OpenCode 2.0notifications received, not shown: use wait(since=...)
Kimi Code 2.1client does not request progress: wait(since=...)

| Codex 0.162 | not yet verified (account at its us

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx