# MCP Decorator Documentation

## Overview
The `mcp_decorator` module provides Python decorators that enable seamless integration of the Model Context Protocol (MCP) into existing functions and classes. These decorators automate context management, tool registration, and protocol compliance.

## Core Components

### MCPDecorator Class
Provides the main decorator functionality for integrating MCP capabilities.

#### Key Features
1. **Context Management**
   - Automatic context injection
   - Context state preservation
   - Scope management

2. **Tool Registration**
   - Automatic tool discovery
   - Parameter validation
   - Documentation generation

3. **Protocol Compliance**
   - MCP version compatibility
   - Message format validation
   - Error handling

## Usage Examples

```python
# Basic Function Decoration
@mcp_context
def process_data(data):
    # Function automatically gets MCP context capabilities
    pass

# Class Decoration
@mcp_agent
class CustomAgent:
    # Class automatically becomes MCP-compatible
    pass
```

## Best Practices

1. **Context Management**
   - Use appropriate scope levels
   - Clean up contexts properly
   - Handle nested contexts

2. **Error Handling**
   - Implement proper error recovery
   - Maintain context consistency
   - Log important events

3. **Performance Considerations**
   - Minimize context switches
   - Optimize tool registration
   - Handle resource cleanup

## Configuration Options

1. **Decorator Settings**
   - Context scope configuration
   - Tool registration options
   - Protocol version selection

2. **Validation Rules**
   - Input parameter validation
   - Context state validation
   - Output format checking

## Security Considerations

1. **Context Protection**
   - Access control implementation
   - Data isolation
   - Scope boundaries

2. **Tool Security**
   - Permission management
   - Resource limitations
   - Input sanitization