# Phase 1: Setup MCP Dependencies & Structure

## Overview
Set up the foundational components for MCP (Model Context Protocol) server integration. This phase establishes the basic structure and dependencies needed for PromptBin's dual-mode architecture.

## Requirements

### 1. Research and Add MCP Dependencies
- **Research MCP Python SDK**: Find the official or most stable MCP Python library
  - Look for packages like `mcp`, `model-context-protocol`, or similar
  - Check compatibility with Python 3.11+ and existing Flask dependencies
  - Verify the library supports server-side MCP implementation

- **Update pyproject.toml**:
  ```toml
  dependencies = [
      # ... existing dependencies
      "mcp>=1.0.0",  # or appropriate MCP package
      "psutil>=5.9.0",  # for process management
      "requests>=2.31.0",  # for health checks
  ]
  ```

### 2. Create MCP Server Skeleton
Create `mcp_server.py` with the following structure:

- **PromptBinMCPServer class**:
  - Initialization method with configuration
  - Basic MCP server interface implementation
  - Graceful shutdown handling
  - Logging setup with appropriate levels

- **Core Structure**:
  ```python
  class PromptBinMCPServer:
      def __init__(self, config=None):
          # Initialize MCP server
          # Set up logging
          # Initialize PromptManager integration
          
      async def start(self):
          # Start MCP server
          # Register endpoints
          # Start Flask subprocess
          
      async def shutdown(self):
          # Clean shutdown sequence
          # Stop Flask subprocess
          # Cleanup resources
  ```

### 3. Logging and Configuration Setup
- **Structured logging**: Use Python's `logging` module with appropriate formatters
- **Configuration management**: Support for environment variables and config files
- **Error handling**: Basic exception handling framework
- **Debug mode**: Toggle for verbose logging during development

### 4. Integration Points
- **PromptManager integration**: Import and initialize existing PromptManager
- **Flask app reference**: Prepare for subprocess management in Phase 3
- **Port management**: Configuration for Flask app port (default 5000)

## Deliverables
1. Updated `pyproject.toml` with MCP dependencies
2. Basic `mcp_server.py` skeleton with class structure
3. Logging configuration and setup
4. Basic error handling framework
5. Configuration management system

## Testing Requirements
- Verify MCP package installation works correctly
- Test basic MCP server initialization
- Confirm PromptManager integration works
- Validate logging output and configuration

## Success Criteria
- MCP server can be imported and initialized without errors
- All dependencies install correctly with `uv install`
- Logging system produces appropriate output
- Configuration system accepts environment variables
- No conflicts with existing Flask application

## Notes
- Focus on establishing solid foundations - don't implement MCP protocol handlers yet
- Ensure clean separation between MCP server and Flask app concerns
- Document any MCP package selection rationale
- Consider async/await patterns if required by MCP library