Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
MCP server for delegating tasks to specialized AI sub-agents across coding tools
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
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_PATHValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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-mcpFill in the empty values before running it.
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.
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.
AGENT_PERMISSION envAGENT_MODEL envAGENT_EFFORT envEXECUTION_TIMEOUT_MS envSESSION_ENABLED envSESSION_DIR envSESSION_RETENTION_DAYS envAGENTS_SETTINGS_PATH envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account shinpr, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: AGENTS_DIR, AGENT_TYPE, CURSOR_API_KEY, CLI_API_KEY
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).
The GitHub repo last changed –, and the latest version (0.15.1) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Agent Data Tools: Utilities
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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.
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.
You need Node.js 22 or later, an MCP-compatible client, and one supported coding CLI installed and signed in. This example uses Codex.
Create an agents folder anywhere on your machine, then add code-reviewer.md:
# Code Reviewer
Review code for bugs and maintainability issues.
The filename becomes the agent name: code-reviewer.md becomes code-reviewer.
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.
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.
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.
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.
Set AGENT_TYPE to the backend you already use:
AGENT_TYPE | Backend | Command |
|---|---|---|
codex | Codex | codex |
claude | Claude Code | claude |
cursor | Cursor CLI | cursor-agent |
command-code | Command Code | command-code |
glm | GLM (Z.ai) | claude |
kimi | Kimi | claude |
grok | Grok Build | grok |
antigravity | Google Antigravity | agy 1.1.12+ |
gemini | Gemini CLI (compatibility) | gemini |
opencode | OpenCode | opencode |
mcode | MiniMax Code | mcode |
pi | Pi | pi |
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.
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 investigationsafe-edit — edits allowed without approval (default)yolo — unrestricted executionIf 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.
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.
AGENTS_DIR is an absolute path and contains at least one .md or .txt fileMIT