Deputy

Name: Deputy
Author: alimohammadiamirhossein

de alimohammadiamirhosseinversión 0.3.1i★ –iSe ejecuta en tu computadora

Nombre en el registroio.github.alimohammadiamirhossein/deputy

Instalar

Resumen

Descripción del creador (original en inglés)

Claude Code helper: DeepSeek V4.1 Flash reviews Claude's code for bugs and gives second opinions

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.

Opinión de usuariosiAún no hay reseñasLas reseñas se abrirán junto con las cuentas en una etapa posterior
Nuestras revisiones básicasi1 de 1 superadasRevisado con información pública; el código aún no se ha escaneado
UsoiMuy nuevo↓ 46/sem · ★ –

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: Herramientas para desarrolladores
Debes completar: DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_API_KEY

Instalación

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

Antes de instalar

Revisiones básicas: 1 de 1 superadas
Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
Debes completar tú: DEPUTY_PROVIDER, DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_MODE, DEPUTY_THINKING, DEPUTY_MODEL, DEPUTY_BASE_URL, DEPUTY_WORKSPACE, DEPUTY_API_KEY

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "deputy": {
      "command": "uvx",
      "args": [
        "deputy-cc",
        "serve"
      ],
      "env": {
        "DEPUTY_PROVIDER": "your-value",
        "DEEPINFRA_API_KEY": "your-value",
        "XAI_API_KEY": "your-value",
        "DEPUTY_MODE": "your-value",
        "DEPUTY_THINKING": "your-value",
        "DEPUTY_MODEL": "your-value",
        "DEPUTY_BASE_URL": "your-value",
        "DEPUTY_WORKSPACE": "your-value",
        "DEPUTY_API_KEY": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add deputy --env DEPUTY_PROVIDER=your-value --env DEEPINFRA_API_KEY=your-value --env XAI_API_KEY=your-value --env DEPUTY_MODE=your-value --env DEPUTY_THINKING=your-value --env DEPUTY_MODEL=your-value --env DEPUTY_BASE_URL=your-value --env DEPUTY_WORKSPACE=your-value --env DEPUTY_API_KEY=your-value -- uvx deputy-cc serve

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

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

{
  "mcpServers": {
    "deputy": {
      "command": "uvx",
      "args": [
        "deputy-cc",
        "serve"
      ],
      "env": {
        "DEPUTY_PROVIDER": "your-value",
        "DEEPINFRA_API_KEY": "your-value",
        "XAI_API_KEY": "your-value",
        "DEPUTY_MODE": "your-value",
        "DEPUTY_THINKING": "your-value",
        "DEPUTY_MODEL": "your-value",
        "DEPUTY_BASE_URL": "your-value",
        "DEPUTY_WORKSPACE": "your-value",
        "DEPUTY_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "deputy": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "deputy-cc",
        "serve"
      ],
      "env": {
        "DEPUTY_PROVIDER": "your-value",
        "DEEPINFRA_API_KEY": "your-value",
        "XAI_API_KEY": "your-value",
        "DEPUTY_MODE": "your-value",
        "DEPUTY_THINKING": "your-value",
        "DEPUTY_MODEL": "your-value",
        "DEPUTY_BASE_URL": "your-value",
        "DEPUTY_WORKSPACE": "your-value",
        "DEPUTY_API_KEY": "your-value"
      }
    }
  }
}

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.

Valores que debes completar

DEPUTY_PROVIDER env
deepinfra (DeepSeek V4.1 Flash) or xai (Grok, default model grok-4.3).
DEEPINFRA_API_KEY secreto env
DeepInfra API key (deepinfra.com, Dashboard > API Keys), for the default provider. Only sent to api.deepinfra.com.
XAI_API_KEY secreto env
xAI API key (console.x.ai), when DEPUTY_PROVIDER is xai. Only sent to api.x.ai.
DEPUTY_MODE env
accuracy: Claude writes all code; Deputy reviews and consults. lean: fewest Claude tokens, little accuracy loss. balanced: Deputy takes mechanical work. partner: Deputy does all low-level work and gi…
DEPUTY_THINKING env
How hard the helper model thinks.
DEPUTY_MODEL env
Model id served by the endpoint.
DEPUTY_BASE_URL env
Any OpenAI-compatible endpoint (https, or http on localhost for a local model).
DEPUTY_WORKSPACE env
Project folder Deputy may read and edit. Defaults to the client's project folder.
DEPUTY_API_KEY secreto env
API key for a non-DeepInfra endpoint. Takes precedence over DEEPINFRA_API_KEY.

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 9 nov 2026

✓ Superada
El creador coincide con el repo
El nombre en el registro se verificó con la cuenta de GitHub alimohammadiamirhossein, 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 Herramientas para desarrolladoresi

Más estrellas que el 0% de los otros 5556 servidores de esta categoría
Publicado en el registro más recientemente que el 66% de los otros 5556 servidores de esta categoría
Revisiones básicas iguales o mejores que el 100% de los otros 5556 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 Deputy?

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?

Debes completar: DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_API_KEY

¿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 (0.3.1) llegó al registro hace 13 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: GitHub, Desktop Commander, Cloudflare MCP

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

de githubMuy usado★ 34,2 milActualizado hace 5 días

Computadora o nube

Instalar

Desktop Commander

MCP server for terminal commands, file operations, and process management

de wonderwhy-erMuy usado↓ 709,6 mil/sem★ 10,2 milActualizado hace 17 días

Se ejecuta en tu computadora

Instalar

Cloudflare MCP

Cloudflare MCP servers

de cloudflareMuy usado★ 4,4 milActualizado hace 14 meses

Se ejecuta en la nube✓ mcp.cloudflare.com

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.

Deputy

Deputize cheap models. Claude stays the sheriff.

Deputy is a Claude Code plugin and MCP server that has a cheap model, DeepSeek V4.1 Flash, review Claude's code for bugs and give second opinions, for under a cent each. Claude keeps writing the code.

A replay of one benchmark case. Deputy's findings, time and cost, the repro and the test run are real.

claude plugin marketplace add alimohammadiamirhossein/deputy

claude plugin install deputy@deputy

Inside Claude Code the same thing is /plugin marketplace add alimohammadiamirhossein/deputy. You need uv and a DeepInfra API key.

What it costs (measured)

Run	Time	Cost
`review`: two reviewers check a change with a planted off-by-one bug (both caught it)	27 s	$0.0011
`consult`: second opinions from 2 angles	68 s	$0.0018
`investigate`: list a project's functions and their tests	18 s	$0.0004
`delegate`: fix a bug, add 3 tests, run pytest until green	46 s	$0.0006

Measured on a small demo project with thinking high. Reviews and second opinions now think at low by default, which makes them faster and cheaper (see the review benchmark below). On real projects, expect consult and review to stay under $0.01. Every result shows its real tokens and cost.

Benchmark: Opus with and without Deputy

Four small Python tasks with hidden tests Claude never sees (bench/), one run each on Claude Opus 5.5, October 2026. These runs predate the faster reviews: reviewers then thought at high with no time limit, and the prompt asked Claude to review every task.

Config	Hidden tests passed	Mean cost (Claude + Deputy)	Median time
Opus alone	4/4	$0.18	30 s
Opus + `/deputy:review`	4/4	$0.31 ($0.30 + $0.013)	3.7 min
Opus + `/deputy:delegate`	4/4	$0.19 ($0.19 + $0.0015)	76 s

What this shows, and what it doesn't:

No accuracy gain to measure here. The tasks are too easy: Opus passed every hidden test on its own.
Reviews cost Claude more than they cost Deputy. Deputy's share is about a cent, but Claude spends more checking the findings, so a reviewed task cost 68% more and took longer. One review took 24 minutes because a reviewer thought for 73k tokens. Reviewers now think at low and stop after 180 s, and Claude reviews only risky or large changes.
The findings still changed the code. In 3 of 4 tasks Claude hardened the code beyond the spec: it fixed a rate limiter that a NaN timestamp would block forever, and added missing tests. It rejected one finding that contradicted the spec.
Delegating saved nothing on tasks this small. Claude's own reading and checking cost about as much as writing the code itself.
Small sample. One run per config. Full table: bench/results/2026-10-24-opus.

Does `review` catch bugs, and how often does it cry wolf?

Deputy's review on its own, without Claude, on 6 changes with a planted bug and 8 clean changes. Each planted bug has a clean twin, the same change done right. Five runs each with the default settings (bench/review_cases):

Diffs	Reviews	Flagged	Flagged major or critical	Mean cost	Median time	Slowest
Planted bug	30	30/30 caught	30/30	$0.0016	28 s	59 s
Clean	40	22/40	10/40	$0.0039	80 s	230 s

Every planted bug was caught, at major or critical severity, by both reviewers every time.
Reviews are quick. Reviewers think at low and stop after 180 s. With high thinking and no cap they caught the same bugs, but the median clean review took 160 s and the slowest 23 minutes.
Clean code still draws findings, so Claude has to check each one. Most are minor (36 of 50), but a quarter of clean reviews included a major claim.
Many of those findings are fair, such as a test that can't fail, an entry point no test covers, or a cache key wider than the change assumed.
The benchmark already fixed one cause of false alarms. In the first run, reviewers read new files labelled "(untracked)" as left out of the change. Deputy now shows them as git diff does, and those findings went from 6 to 0.
Agreement is weak evidence on clean code. Both reviewers flagged the same spot on 20% of clean diffs, so a finding isn't real just because two reviewers report it.
Every finding on a clean diff is listed in the results: default settings, high thinking, no cap, first run.

What it does

Claude (for example Opus 5.5) stays in charge and writes the code. Deputy adds four tools that run a much cheaper model as a helper inside your project:

Tool	What it does
`review`	Independent reviewers hunt for bugs in a risky or large change before Claude calls it done
`consult`	Second opinions from 2–4 angles at once, before Claude commits to a plan
`investigate`	Reads lots of code and returns `file:line` leads
`delegate`	Hands a coding task to the cheap model (off by default; on request, or in savings mode)
`stats`	Shows roughly how many tokens and dollars Deputy saved: this session, today, this week, all time

Claude treats everything Deputy says as an unverified hint: it checks each finding against the code and keeps only what holds up.

See what you saved

Every result ends with a one-line estimate, for example from a real investigate run:

Savings (rough): this work would cost about $0.0082 on Claude Opus 5.5; Deputy did it for $0.0001. Saved about $0.0074 and 2.0k Claude Opus 5.5 tokens.

Ask Claude for stats, or run deputy stats, for totals. Reviews and second opinions are listed separately as extra checks, so they never inflate the savings. The estimate assumes your lead model would use about as many tokens, so treat it as an order of magnitude. Only numbers are stored, never code or prompts. Set your lead model with DEPUTY_LEAD_MODEL (opus, sonnet, haiku, fable or custom).

When to use Deputy, and when not to

Use it for:

Risky or large changes, where a missed bug costs more than a minute of waiting: tricky logic, security, data handling, concurrency, refactors that touch several files.
A second opinion before Claude commits to a design, without spending Claude tokens on it.
Wide reading in a big codebase, such as "where is this setting read?".
Well-specified mechanical work (boilerplate, renames, test scaffolding) in lean, balanced, partner or savings mode, when you want to save Claude tokens on larger jobs. On small tasks it saved nothing in the benchmark.

Skip it for:

Routine changes whose tests pass, and trivial edits like typos and one-liners. A review makes you wait and adds little there.
Code you may not share with a third party. Deputy sends code to DeepInfra, or to whatever endpoint you set in DEPUTY_BASE_URL (a local model works too).
Final answers. Findings come from a weaker model and include false positives, which is why Claude verifies every one.
Architecture and security-sensitive decisions in savings mode. Keep those with Claude.

Quick start

1. Get a DeepInfra API key (DeepInfra hosts DeepSeek's models in the US)

Sign up at [deepinfra.com](https://deepinfra.com/) with GitHub, Google or email.
In Dashboard → Billing, add a card and $5–10 of credit, then set a spending limit equal to that amount.
In API Keys, create a key (it starts with sk-di-) and copy it. Keep it private.

You don't need a plan, a model purchase or a dedicated GPU. Pay-as-you-go credit is enough.

2. Install uv and the plugin

claude plugin marketplace add alimohammadiamirhossein/deputy

claude plugin install deputy@deputy

Claude Code asks for your DeepInfra key and stores it in your system's secure storage.

3. Restart Claude Code and try it

/deputy:review

/deputy:consult I plan to cache sessions in Redis. What am I missing? /deputy:investigate how does a request reach the database? /deputy:ds add input validation to the signup form, with tests

Or just work normally: Claude calls Deputy on its own when it pays off, and skips reviews on routine changes whose tests pass.

Cursor and Codex

One command adds Deputy to the editor's MCP config (with a backup of the old file) and installs the playbook as a Cursor rule or Codex skill:

uvx --from git+https://github.com/alimohammadiamirhossein/deputy deputy setup cursor --project .

uvx --from git+https://github.com/alimohammadiamirhossein/deputy deputy setup codex

Set DEEPINFRA_API_KEY in your environment first, then restart the editor. Add --dry-run to see the changes without writing them. Ready-made files are in integrations/.

Grok instead of DeepSeek (experimental, not tested yet): Grok support follows xAI's documentation but has not been run with a real xAI key. If you try it, please tell us what worked and what didn't, even if it was just a one-word "works". Add --provider xai and set XAI_API_KEY (from console.x.ai) instead. Deputy then uses grok-4.3; set DEPUTY_MODEL to grok-build-0.1 (xAI's coding model) or grok-4.7 (its strongest). Grok costs about 10 times more per token than DeepSeek V4.1 Flash.

uvx --from git+https://github.com/alimohammadiamirhossein/deputy deputy setup cursor --project . --provider xai

Other MCP clients (Cline, Windsurf, Claude Desktop)

Deputy is on PyPI as deputy-cc. Add a stdio MCP server that runs:

uvx deputy-cc serve

with DEEPINFRA_API_KEY set in its environment. Check your setup with uvx deputy-cc doctor.

Recommended model: DeepSeek V4.1 Flash, thinking

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

Deputy

Resumen

Los tres pilares de PopNx MCP

Qué puedes hacer con él

Instalación

Antes de instalar

Valores que debes completar

Qué puede hacer

Revisiones básicasi

El creador coincide con el repo

Sigue en mantenimiento

Tiene licencia

El endpoint responde

Inicio de sesión con OAuth

Sin instrucciones ocultas en las descripciones de herramientas

Comparado con otros en Herramientas para desarrolladoresi

Preguntas frecuentes

Alternativas

GitHub

Desktop Commander

Cloudflare MCP

README del creador

Deputy

Deputize cheap models. Claude stays the sheriff.

What it costs (measured)

Benchmark: Opus with and without Deputy

Does review catch bugs, and how often does it cry wolf?

What it does

See what you saved

When to use Deputy, and when not to

Quick start

Cursor and Codex

Other MCP clients (Cline, Windsurf, Claude Desktop)

Recommended model: DeepSeek V4.1 Flash, thinking

Does `review` catch bugs, and how often does it cry wolf?