Deputy

Name: Deputy
Author: alimohammadiamirhossein

by alimohammadiamirhosseinversion 0.3.1i★ 2iRuns on your computer

Registry nameio.github.alimohammadiamirhossein/deputy

How to install

What it does

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

Connects Runs on your computer
Account or key Needs DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_API_KEY
Category Developer tools

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer

First: which AI do you use?

ClaudeWeb · app · phoneChatGPTWebClaude CodeTerminalCursorCode editorVS CodeCode editorOtherOther apps

Pick your app and the steps appear below.

Works with Claude, with some setup first

You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Deputy key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
Open the Deputy site ↗
Done
Open the Claude desktop app’s settings file
SettingsDeveloperEdit Config
Done

Paste these settings and save the file

{
  "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"
      }
    }
  }
}

Paste the key only into the app’s field, never into a chat or to anyone

Done

Quit Claude and open it again
Done
Try it
Use Deputy and tell me what you can do for me, then show me one thing
✓ If Claude says it is using Deputy or shows a Deputy tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Deputy yet

Deputy runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Deputy

Steps for Claude →You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
Steps for Claude Code →You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Steps for Cursor →You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)
Steps for VS Code →You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

B · Others in Developer tools that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Sentry✓ ChatGPT
Compiler Explorer✓ ChatGPT
GitDiagram✓ ChatGPT

Works with Claude Code, with some setup first

You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Deputy key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
Open the Deputy site ↗
Done
Open Terminal
Mac: press Command+Space and type Terminal · Windows: open PowerShell
Done

Paste this command and press Enter

claude mcp add --scope user 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

Replace “your-value” with your key before pressing Enter

Paste the key only into the app’s field, never into a chat or to anyone

Done

Type /mcp in Claude Code
You should see Deputy listed as connected
Done
Try it
Use Deputy and tell me what you can do for me, then show me one thing
✓ If Claude Code says it is using Deputy or shows a Deputy tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Deputy key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
Open the Deputy site ↗
Done
Click this button to open Cursor
Open in Cursor
Cursor asks you to confirm; click Install
Done
Fill in your key
In the Deputy settings, DEPUTY_PROVIDER, DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_MODE, DEPUTY_THINKING, DEPUTY_MODEL, DEPUTY_BASE_URL, DEPUTY_WORKSPACE, DEPUTY_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in Cursor in Agent mode
Done
Try it
Use Deputy and tell me what you can do for me, then show me one thing
✓ If Cursor says it is using Deputy or shows a Deputy tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

You need a Deputy key (create it on the maker’s site) · Install Python (uv) on your computer first (one time)

Install Python (uv)
One time only; it works for every server that needs Python (uv)
Open the Python (uv) download page ↗
Done
Sign up and create a Deputy key
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
Open the Deputy site ↗
Done
Click this button to open VS Code
Open in VS Code
VS Code asks you to confirm; click Install
Done
Fill in your key
In the Deputy settings, DEPUTY_PROVIDER, DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_MODE, DEPUTY_THINKING, DEPUTY_MODEL, DEPUTY_BASE_URL, DEPUTY_WORKSPACE, DEPUTY_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Done
Open the AI chat in VS Code in Agent mode
Done
Try it
Use Deputy and tell me what you can do for me, then show me one thing
✓ If VS Code says it is using Deputy or shows a Deputy tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Deputy💬 Discussion →

For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user 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

Claude Desktop (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"
      }
    }
  }
}

Cursor (~/.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"
      }
    }
  }
}

VS Code (mcp.json)

{
  "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"
      }
    }
  }
}

Values you fill in

DEPUTY_PROVIDER env
deepinfra (DeepSeek V4.1 Flash) or xai (Grok, default model grok-4.3).
DEEPINFRA_API_KEY secret env
DeepInfra API key (deepinfra.com, Dashboard > API Keys), for the default provider. Only sent to api.deepinfra.com.
XAI_API_KEY secret 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 secret env
API key for a non-DeepInfra endpoint. Takes precedence over DEEPINFRA_API_KEY.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub stars i: 2
Downloads per weeki: 46/wk
Licence i: MIT
Connection: Runs on your computer
Transport: stdio
Latest versioni: 0.3.1
Categoryi: Developer tools
Published to registryi: Oct 27, 2026
Code last changedi: Oct 27, 2026
Maker: alimohammadiamirhossein
Packages: pypi: deputy-cc
Repo: alimohammadiamirhossein/deputy
Website: github.com
Registry status: Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

Claude Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Raycast

All apps, with pros and cons →

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account alimohammadiamirhossein, which owns the repo
✓ Pass
Still maintained
Code last changed 16 days ago
✓ Pass
Has a licence
Uses MIT
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

User reviews

No reviews yet

Compared with others in Developer toolsi

More stars than 77% of the other 5808 servers in this category
Published to the registry more recently than 61% of the other 5808 servers in this category
Basic checks equal to or better than 100% of the other 5808 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Deputy safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 16 days ago, and the latest version (0.3.1) reached the registry 16 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: REA, GitHub, Serena MCP: the IDE for your agent

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

Deputy

What it does

Install

Install Python (uv)

Sign up and create a Deputy key

Open the Claude desktop app’s settings file

Paste these settings and save the file

Quit Claude and open it again

Try it

What you can do instead

Install Python (uv)

Sign up and create a Deputy key

Open Terminal

Paste this command and press Enter

Type /mcp in Claude Code

Try it

Install Python (uv)

Sign up and create a Deputy key

Click this button to open Cursor

Fill in your key

Open the AI chat in Cursor in Agent mode

Try it

Install Python (uv)

Sign up and create a Deputy key

Click this button to open VS Code

Fill in your key

Open the AI chat in VS Code in Agent mode

Try it

Installed on your computer

Values you fill in

At a glance

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Discussion

User reviews

Compared with others in Developer toolsi

Common questions

Others in the same category

REA

GitHub

Serena MCP: the IDE for your agent

README from the maker

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?