README.mdā¢2.42 kB
# 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
š¤ **Enhanced AI Agent Creator** - Advanced MCP Server with intelligent background processing
š **500+ Smart Components** - Ready-to-use integrations, tools, and workflows
š§ **AI-Powered Intelligence** - Automatic description analysis and requirement detection
ā” **Smart Auto-Configuration** - Intelligent component setup based on context
šÆ **Learning System** - Pattern recognition and success-based optimization
š **One-Click Deployment** - Generate, test, and deploy AI agents instantly
## Installation
### Option 1: Smithery.ai (Recommended)
Install directly through Smithery.ai for seamless integration:
1. Visit [Smithery.ai](https://smithery.ai)
2. Search for "ai-agent-generator-mcp"
3. Click "Install" to add to your MCP client
### Option 2: Manual Installation
```bash
# 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
- š§ **NLP Description Analysis** - Extracts implicit requirements from natural language
- šÆ **Smart Component Suggestions** - AI-powered component recommendations
- š **Intelligence Scoring** - Measures agent sophistication and capabilities
- š **Background Learning** - Improves recommendations based on successful patterns
- š ļø **Auto-Configuration** - Intelligent setup of complex integrations
## License
MIT License - see LICENSE file for details.