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Sub Agents MCP

by shinprversion 0.15.1i★ –iRuns on your computer
Registry nameio.github.shinpr/sub-agents-mcp

Install

Overview

Description from the maker (original English)

MCP server for delegating tasks to specialized AI sub-agents across coding tools

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: AGENTS_DIR, AGENT_TYPE, CURSOR_API_KEY, CLI_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: AGENTS_DIR, AGENT_TYPE, AGENT_PERMISSION, AGENT_MODEL, AGENT_EFFORT, CURSOR_API_KEY, CLI_API_KEY, EXECUTION_TIMEOUT_MS, SESSION_ENABLED, SESSION_DIR, SESSION_RETENTION_DAYS, AGENTS_SETTINGS_PATH

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "sub-agents": {
      "command": "npx",
      "args": [
        "-y",
        "sub-agents-mcp"
      ],
      "env": {
        "AGENTS_DIR": "your-value",
        "AGENT_TYPE": "your-value",
        "AGENT_PERMISSION": "your-value",
        "AGENT_MODEL": "your-value",
        "AGENT_EFFORT": "your-value",
        "CURSOR_API_KEY": "your-value",
        "CLI_API_KEY": "your-value",
        "EXECUTION_TIMEOUT_MS": "your-value",
        "SESSION_ENABLED": "your-value",
        "SESSION_DIR": "your-value",
        "SESSION_RETENTION_DAYS": "your-value",
        "AGENTS_SETTINGS_PATH": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add sub-agents --env AGENTS_DIR=your-value --env AGENT_TYPE=your-value --env AGENT_PERMISSION=your-value --env AGENT_MODEL=your-value --env AGENT_EFFORT=your-value --env CURSOR_API_KEY=your-value --env CLI_API_KEY=your-value --env EXECUTION_TIMEOUT_MS=your-value --env SESSION_ENABLED=your-value --env SESSION_DIR=your-value --env SESSION_RETENTION_DAYS=your-value --env AGENTS_SETTINGS_PATH=your-value -- npx -y sub-agents-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "sub-agents": {
      "command": "npx",
      "args": [
        "-y",
        "sub-agents-mcp"
      ],
      "env": {
        "AGENTS_DIR": "your-value",
        "AGENT_TYPE": "your-value",
        "AGENT_PERMISSION": "your-value",
        "AGENT_MODEL": "your-value",
        "AGENT_EFFORT": "your-value",
        "CURSOR_API_KEY": "your-value",
        "CLI_API_KEY": "your-value",
        "EXECUTION_TIMEOUT_MS": "your-value",
        "SESSION_ENABLED": "your-value",
        "SESSION_DIR": "your-value",
        "SESSION_RETENTION_DAYS": "your-value",
        "AGENTS_SETTINGS_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "sub-agents": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "sub-agents-mcp"
      ],
      "env": {
        "AGENTS_DIR": "your-value",
        "AGENT_TYPE": "your-value",
        "AGENT_PERMISSION": "your-value",
        "AGENT_MODEL": "your-value",
        "AGENT_EFFORT": "your-value",
        "CURSOR_API_KEY": "your-value",
        "CLI_API_KEY": "your-value",
        "EXECUTION_TIMEOUT_MS": "your-value",
        "SESSION_ENABLED": "your-value",
        "SESSION_DIR": "your-value",
        "SESSION_RETENTION_DAYS": "your-value",
        "AGENTS_SETTINGS_PATH": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AGENTS_DIR required env
    Absolute path to the directory containing agent definition files (.md or .txt)
  • AGENT_TYPE required env
    Type of AI CLI to use: 'cursor', 'claude', 'gemini', 'codex', 'command-code', 'glm', 'kimi', 'grok', 'antigravity', 'opencode', 'mcode', or 'pi'
  • AGENT_PERMISSION env
    Approval/sandbox level for sub-agents: 'read-only', 'safe-edit' (default), or 'yolo'
  • AGENT_MODEL env
    Optional model override applied to every sub-agent execution by this MCP server
  • AGENT_EFFORT env
    Optional backend-specific reasoning effort or model variant. Supported by codex, claude, command-code, glm, kimi, grok, antigravity, opencode, mcode, and pi.
  • CURSOR_API_KEY secret env
    API key for cursor-agent authentication (used only when AGENT_TYPE=cursor; passed via env, never via CLI args)
  • CLI_API_KEY secret env
    Provider API key for AGENT_TYPE=glm or kimi (passed to the claude binary via env, never via CLI args). Restart/reconnect the MCP server after changing it.
  • EXECUTION_TIMEOUT_MS env
    Agent execution timeout in milliseconds, as a positive whole number (default: 300000). The server refuses to start on an invalid value such as "5min".
  • SESSION_ENABLED env
    Enable session management to maintain execution history across agent calls (default: false)
  • SESSION_DIR env
    Directory path for storing session files (default: .mcp-sessions in current working directory)
  • SESSION_RETENTION_DAYS env
    Number of days to retain session history before automatic cleanup (default: 1)
  • AGENTS_SETTINGS_PATH env
    Path to CLI settings file/directory. Claude: --settings arg, Cursor: CURSOR_CONFIG_DIR, Codex: CODEX_HOME. GLM/Kimi/Gemini/Grok/Antigravity/OpenCode/Command Code/MiniMax Code/Pi not supported.

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

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account shinpr, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – 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

Compared with others in Otheri

  • More stars than 0% of the other 32700 servers in this category
  • Published to the registry more recently than 71% of the other 32700 servers in this category
  • Basic checks equal to or better than 100% of the other 32700 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 Sub Agents MCP safe?

It passed 1 of 1 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: AGENTS_DIR, AGENT_TYPE, CURSOR_API_KEY, CLI_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 –, and the latest version (0.15.1) 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 Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Agent Data Tools: Utilities

Alternatives

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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

Runs in the cloud★ 211Updated 2 days ago
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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.

Sub-Agents MCP Server

Run reusable coding agents from any MCP-compatible client.

Write a reviewer, test writer, or investigator in Markdown, then ask your assistant to use it. The MCP server runs that agent with the coding CLI you choose and returns the result to the same conversation.

What You Can Do

  • Delegate code review, test writing, investigation, and documentation to focused agents
  • Reuse the same agent definitions across MCP clients with one shared backend and model configuration
  • Continue the same agent across multiple calls for longer work

Quick Start

You need Node.js 22 or later, an MCP-compatible client, and one supported coding CLI installed and signed in. This example uses Codex.

1. Create an Agent

Create an agents folder anywhere on your machine, then add code-reviewer.md:

# Code Reviewer

Review code for bugs and maintainability issues.

Task

  • Find concrete problems in the requested changes
  • Explain why each problem matters
  • Point to the affected code

Done When

  • All requested files have been reviewed
  • Findings include evidence and suggested next steps

The filename becomes the agent name: code-reviewer.md becomes code-reviewer.

2. Add the MCP Server

Add the server to your client's MCP configuration. Replace AGENTS_DIR with the absolute path to the folder you created.

{

"mcpServers": { "sub-agents": { "command": "npx", "args": ["-y", "sub-agents-mcp"], "env": { "AGENTS_DIR": "/absolute/path/to/agents", "AGENT_TYPE": "codex" } } } }

Restart or reconnect your MCP client after saving the configuration.

3. Run the Agent

Ask your assistant:

Use the code-reviewer agent to review the authentication changes.

Your assistant runs the agent with Codex and returns the review to the conversation.

Examples

Use the test-writer agent to add unit tests for the auth module.
Use the bug-investigator agent to find the cause of the failed checkout requests.
Use the doc-writer agent to document the public API changes.

Name both the agent and the work you want it to do.

When the MCP Server Fits

Use the MCP server when you want to share the same agents across MCP clients while keeping backend and model configuration in one place.

If you prefer a lighter installation or want each agent to choose its own backend and model, see Sub-Agents Skills.

Supported Backends

Set AGENT_TYPE to the backend you already use:

AGENT_TYPEBackendCommand
codexCodexcodex
claudeClaude Codeclaude
cursorCursor CLIcursor-agent
command-codeCommand Codecommand-code
glmGLM (Z.ai)claude
kimiKimiclaude
grokGrok Buildgrok
antigravityGoogle Antigravityagy 1.1.12+
geminiGemini CLI (compatibility)gemini
opencodeOpenCodeopencode
mcodeMiniMax Codemcode
piPipi

The selected CLI must be installed and configured before the MCP server starts.

GLM and Kimi require CLI_API_KEY in the MCP server environment. Other backends use the CLI's existing authentication.

For Google models, prefer Antigravity. Gemini CLI remains available for existing enterprise, API key, or Vertex AI configurations.

Shared Agent Settings

Set AGENT_MODEL to use one model for every agent. Omit it to use the backend's default.

AGENT_PERMISSION controls what agents may do:

  • read-only — review and investigation
  • safe-edit — edits allowed without approval (default)
  • yolo — unrestricted execution

If an agent reports that an action was blocked, choose a less restrictive mode.

How strictly each level is enforced depends on the backend, so treat it as guidance rather than a security boundary.

Continue Work Across Calls

Set SESSION_ENABLED to "true" when you want an agent to remember earlier calls and continue a longer task. Your assistant must reuse the returned session_id on the next call to continue that session.

If It Does Not Start

  • Run the selected backend command directly and confirm that it is installed and signed in
  • Make sure AGENTS_DIR is an absolute path and contains at least one .md or .txt file
  • Restart or reconnect the MCP client after changing its configuration

License

MIT

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