Deputy

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

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package deputy-cc

Claude Code

claude mcp add deputy -e 'DEPUTY_PROVIDER=deepinfra' -e 'DEEPINFRA_API_KEY=<your deepinfra_api_key>' -e 'XAI_API_KEY=<your xai_api_key>' -e 'DEPUTY_MODE=accuracy' -e 'DEPUTY_THINKING=high' -e 'DEPUTY_MODEL=deepseek-ai/DeepSeek-V4.1-Flash-1017' -e 'DEPUTY_BASE_URL=https://api.deepinfra.com/v1/openai' -e 'DEPUTY_WORKSPACE=<DEPUTY_WORKSPACE>' -e 'DEPUTY_API_KEY=<your deputy_api_key>' -- uvx deputy-cc==0.3.1 serve

JSON configuration (Claude Desktop, Cursor, VS Code)

{
    "mcpServers": {
        "deputy": {
            "command": "uvx",
            "args": [
                "deputy-cc==0.3.1",
                "serve"
            ],
            "env": {
                "DEPUTY_PROVIDER": "deepinfra",
                "DEEPINFRA_API_KEY": "<your deepinfra_api_key>",
                "XAI_API_KEY": "<your xai_api_key>",
                "DEPUTY_MODE": "accuracy",
                "DEPUTY_THINKING": "high",
                "DEPUTY_MODEL": "deepseek-ai/DeepSeek-V4.1-Flash-1017",
                "DEPUTY_BASE_URL": "https://api.deepinfra.com/v1/openai",
                "DEPUTY_WORKSPACE": "<DEPUTY_WORKSPACE>",
                "DEPUTY_API_KEY": "<your deputy_api_key>"
            }
        }
    }
}

Environment variables

DEPUTY_PROVIDER deepinfra (DeepSeek V4.1 Flash) or xai (Grok, default model grok-4.3).
DEEPINFRA_API_KEY secret DeepInfra API key (deepinfra.com, Dashboard > API Keys), for the default provider. Only sent to api.deepinfra.com.
XAI_API_KEY secret xAI API key (console.x.ai), when DEPUTY_PROVIDER is xai. Only sent to api.x.ai.
DEPUTY_MODE 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 gives ideas. savings: Deputy takes most coding.
DEPUTY_THINKING How hard the helper model thinks.
DEPUTY_MODEL Model id served by the endpoint.
DEPUTY_BASE_URL Any OpenAI-compatible endpoint (https, or http on localhost for a local model).
DEPUTY_WORKSPACE Project folder Deputy may read and edit. Defaults to the client's project folder.
DEPUTY_API_KEY secret API key for a non-DeepInfra endpoint. Takes precedence over DEEPINFRA_API_KEY.

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents

Deputy
What it costs (measured)
What it does
When to use Deputy, and when not to
Quick start
Recommended model: DeepSeek V4.1 Flash, thinking high
Modes
Learn more
Support the project

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.

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. On real projects, expect consult and review to stay under $0.01. Every result shows its real tokens and cost.

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 Claude's change before it calls the task 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:

Non-trivial changes where a missed bug costs more than a cent: logic, edge cases, 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 balanced or savings mode, when you want to save Claude tokens.

Skip it for:

Trivial edits like typos and one-liners. A review takes 30–60 seconds 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 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?

Or just work normally: Claude consults and reviews on its own for non-trivial tasks.

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/.

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 `high`

The default is deepseek-ai/DeepSeek-V4.1-Flash-1017 on DeepInfra with thinking set to high. It's the best price-to-quality option we found for this job:

Cheap: $0.098 per 1M input tokens and $0.294 per 1M output tokens (October 2026), cheaper than DeepSeek's own API.
Capable: about 1M tokens of context and reliable tool calling.
Thinking actually on: DeepInfra leaves its thinking off unless asked. Deputy always asks (high), which we confirmed by measuring the reasoning tokens.
Private: DeepInfra says it doesn't train on your data. Your code isn't sent to DeepSeek's own servers.

Modes

Mode	Who writes the code	Pick it when
accuracy (default)	Claude, always	You want the best result
balanced	Claude; Deputy takes boilerplate	You want some savings without risk
savings	Deputy, Claude verifies	You want to save the most tokens

Change it in the plugin settings (/plugin) or with DEPUTY_MODE.

Learn more

SKILL.md: the playbook Claude follows (consult → decide → implement → review → check each finding). Also works without the plugin.
docs/REFERENCE.md: all settings, costs, safety, terms of service, the research behind the design, troubleshooting and the roadmap.
CHANGELOG.md: what changed in each release.

Deputy stays within Anthropic's rules: Claude Code runs unmodified, and Deputy never touches your Claude login. It's an ordinary MCP tool using your own DeepInfra key.

Support the project

If Deputy caught a bug for you, give it a ⭐ and share it with someone who uses Claude Code. Issues and pull requests are welcome; the good first issues are a good place to start.

Keywords: Claude Code plugin, MCP server, Model Context Protocol, AI code review, second opinion, DeepSeek V4.1 Flash, DeepInfra, subagent, Opus, agentic coding, reduce Claude Code cost.

Frequently asked questions

What is Deputy?

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

How do I install Deputy?

It runs on your machine. In Claude Code: claude mcp add deputy -e 'DEPUTY_PROVIDER=deepinfra' -e 'DEEPINFRA_API_KEY=<your deepinfra_api_key>' -e 'XAI_API_KEY=<your xai_api_key>' -e 'DEPUTY_MODE=accuracy' -e 'DEPUTY_THINKING=high' -e 'DEPUTY_MODEL=deepseek-ai/DeepSeek-V4.1-Flash-1017' -e 'DEPUTY_BASE_URL=https://api.deepinfra.com/v1/openai' -e 'DEPUTY_WORKSPACE=<DEPUTY_WORKSPACE>' -e 'DEPUTY_API_KEY=<your deputy_api_key>' -- uvx deputy-cc==0.3.1 serve. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Deputy need an API key?

Yes. It expects DEEPINFRA_API_KEY, XAI_API_KEY, DEPUTY_API_KEY, which you set in its configuration.

Is Deputy open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Deputy?

It is published by alimohammadiamirhossein. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.

Server details

Listed in: Official MCP Registry
Publisher: alimohammadiamirhossein
Category: Developer tools
Runs: Local
GitHub stars: ★ 2
License: MIT
Language: Python
Last commit: Oct 25, 2026
Open issues: 2
Version: 0.3.1
Published: Oct 27, 2026

io.github.alimohammadiamirhossein/deputy

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Developer tools

Deputy

Install

Documentation

Deputy

Deputize cheap models. Claude stays the sheriff.

What it costs (measured)

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 high

Modes

Learn more

Support the project

Frequently asked questions

Recommended model: DeepSeek V4.1 Flash, thinking `high`