data-ai MCP Server
Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.
Discovered via github-topic:mcp-server and last synced 3mo ago.
1. Install the package
npx sub-agents-mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"sub-agents-mcp": {
"command": "npx",
"args": [
"sub-agents-mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
sub-agents-skills
Choose **sub-agents-mcp** for production use with reliability features. Choose **sub-agents-skills** for quick setup in Skill-compatible environments. ## Table of Contents - [Prerequisites](#prerequisites) - [Quick Start](#quick-start) - [Usage Examples](#usage-examples) - [Writing Effective Agents](#writing-effective-agents) - [Agent Examples](#agent-examples) - [Configuration Reference](#configuration-reference) - [Session Management](#session-management) - [Troubleshooting](#troubleshooting) - [Design Philosophy](#design-philosophy) - [How It Works](#how-it-works) ## Prerequisites - Node.js 22 or higher - One of these execution engines (they actually run the sub-agents): - `cursor-agent` CLI (from Cursor) - `claude` CLI (from Claude Code) - `gemini` CLI (from Gemini CLI) - `codex` CLI (from Codex) - An MCP-compatible tool (Cursor IDE, Claude Desktop, Windsurf, etc.) ## Quick Start ### 1. Create Your First Agent Create a folder for your agents and add `code-reviewer.md`: ```markdown # Code Reviewer Review code for quality and maintainability issues. ## Task - Find bugs and potential issues - Suggest improvements - Check code style consistency ## Done When - All target files reviewed - Issues listed with explanations ``` See [Writing Effective Agents](#writing-effective-agents) for more on agent design. ### 2. Install Your Execution Engine Pick one based on which tool you use: **For Cursor users:** ```bash # Install Cursor CLI (includes cursor-agent) curl https://cursor.com/install -fsS