AI Agent Generator

# Submitting to Smithery.ai This document outlines how to submit the AI Agent Generator MCP Server to Smithery.ai. ## Prerequisites - [x] `smithery.yaml` configuration file created - [x] `requirements.txt` with dependencies - [x] Working MCP server implementation - [x] Updated README.md with Smithery.ai instructions - [x] Python package structure with `__init__.py` - [x] `pyproject.toml` for package metadata ## Smithery.ai Configuration The `smithery.yaml` file configures how Smithery.ai will run the MCP server: ```yaml startCommand: type: stdio configSchema: {} commandFunction: |- (config) => ({ command: 'python', args: ['-m', 'src.server'], cwd: process.cwd() }) ``` ## Server Capabilities The MCP server provides the following tools: 1. **create_agent** - Create intelligent AI agents with NLP analysis 2. **get_agent** - Retrieve agent information with intelligence metrics 3. **list_agents** - List all created agents with advanced filtering 4. **add_component_to_agent** - Smart component integration with auto-config 5. **generate_chat_interface** - Generate responsive HTML chat interfaces 6. **deploy_agent** - Deploy agents to multiple environments 7. **test_agent** - Comprehensive testing with performance insights 8. **delete_agent** - Safe agent deletion with confirmation ## Key Features - 🤖 **500+ Smart Components** - Pre-built integrations and tools - 🧠 **AI-Powered Analysis** - NLP description parsing and requirement detection - ⚡ **Auto-Configuration** - Intelligent component setup based on context - 📈 **Intelligence Scoring** - Measures agent sophistication - 🔄 **Learning System** - Improves based on successful patterns - 🎯 **Background Intelligence** - Continuous optimization ## Resources - **Tools**: 8 advanced agent management tools - **Resources**: 2 (component catalog + intelligence context) - **Component Library**: 500+ integrations across multiple categories - **Domains**: E-commerce, Customer Service, Marketing, Finance, Education, Healthcare ## Submission Steps 1. **Repository Preparation** ✅ - All configuration files are in place - Server tested and working - Documentation complete 2. **Smithery.ai Submission** - Visit https://smithery.ai - Navigate to server submission page - Provide repository URL: https://github.com/arturwyroslak/ai-agent-generator-mcp - Submit for review 3. **Post-Submission** - Monitor for review feedback - Make any requested changes - Await approval and publication ## Testing the Configuration To test the Smithery.ai configuration locally: ```bash # Install dependencies pip install -r requirements.txt # Run the server python -m src.server ``` The server should start and display the initialization messages, then wait for MCP client connections. ## Support For any issues with the Smithery.ai submission: - Check Smithery.ai documentation: https://smithery.ai/docs - Review smithery.yaml configuration - Verify all dependencies are properly listed - Ensure the server runs without errors