ai-agent-generator-mcp

MCP Server that enables AI to create other AI agents through natural language - similar to SmythOS Agent Weaver. Provides tools for agent specification parsing, workflow generation, component mapping, and agent deployment.

Features

🤖 Enhanced AI Agent Creator - Advanced MCP Server with intelligent background processing
📊 500+ Smart Components - Ready-to-use integrations, tools, and workflows
🧠 AI-Powered Intelligence - Automatic description analysis and requirement detection
⚡ Smart Auto-Configuration - Intelligent component setup based on context
🎯 Learning System - Pattern recognition and success-based optimization
🚀 One-Click Deployment - Generate, test, and deploy AI agents instantly

Related MCP server: Coolify MCP Server

Installation

Option 1: Smithery.ai (Recommended)

Install directly through Smithery.ai for seamless integration:

1. Visit Smithery.ai

2. Search for "ai-agent-generator-mcp"

3. Click "Install" to add to your MCP client

Option 2: Manual Installation

# Clone the repository
git clone https://github.com/arturwyroslak/ai-agent-generator-mcp.git
cd ai-agent-generator-mcp

# Install dependencies
pip install -r requirements.txt

# Run the MCP server
python -m src.server

Usage

The server provides enhanced tools for creating intelligent AI agents:

• create_agent - Create agents with AI-powered analysis

• add_component_to_agent - Smart component integration with auto-configuration

• generate_chat_interface - Beautiful, responsive chat interfaces

• deploy_agent - One-click deployment to multiple environments

• test_agent - Comprehensive testing with performance insights

Smithery.ai Configuration

This server is fully compatible with Smithery.ai. The smithery.yaml configuration file ensures seamless integration with the Smithery platform.

Advanced Features

• 🧠 NLP Description Analysis - Extracts implicit requirements from natural language

• 🎯 Smart Component Suggestions - AI-powered component recommendations

• 📈 Intelligence Scoring - Measures agent sophistication and capabilities

• 🔄 Background Learning - Improves recommendations based on successful patterns

• 🛠️ Auto-Configuration - Intelligent setup of complex integrations

License

MIT License - see LICENSE file for details.