# Perception Tools MCP Server - Project Summary

## Overview

A comprehensive MCP (Model Context Protocol) server implementing 18 perception tools organized into 5 categories, following SOLID principles with a modular architecture.

## Implementation Details

### Architecture

The project follows the **Single Responsibility Principle** with separate modules for each tool category:

```
perception-tools/
├── src/
│   ├── base.py                  # Shared models and utilities
│   ├── search_tools.py          # Search functionality (3 tools)
│   ├── multimodal_tools.py      # Multimodal understanding (4 tools)
│   ├── filesystem_tools.py      # File operations (3 tools)
│   ├── public_data_tools.py     # Public APIs (6 tools)
│   ├── private_data_tools.py    # Private data sources (2 tools)
│   └── main.py                  # MCP server entry point
├── requirements.txt             # Dependencies
├── env.example                  # Configuration template
├── quickstart.py                # Demo script
├── test_imports.py              # Module verification
├── README.md                    # User documentation
├── SETUP.md                     # Setup instructions
└── TOOL_REFERENCE.md            # Complete API reference
```

### Design Principles Applied

#### KISS (Keep It Simple, Stupid)
- Each tool has a single, clear purpose
- Simple async function signatures
- Straightforward error handling

#### DRY (Don't Repeat Yourself)
- Common utilities in `base.py` (ActionResponse, file validation, URL downloading)
- Shared error handling patterns
- Reusable Pydantic models

#### SOLID Principles

**Single Responsibility:**
- Each module handles one category of tools
- Base module provides shared functionality only
- Tools have single, well-defined purposes

**Open/Closed:**
- Easy to add new tools without modifying existing code
- Extensible through new modules
- MCP decorator pattern allows non-invasive tool registration

**Liskov Substitution:**
- All tools return consistent `ActionResponse` format
- Uniform error handling across all tools

**Interface Segregation:**
- Tools expose only necessary parameters
- Optional parameters with sensible defaults
- No forced dependencies on unused features

**Dependency Inversion:**
- Tools depend on abstractions (ActionResponse, TextContent)
- External services accessed through interfaces
- Configuration via environment variables

## Tool Categories

### 1. Search Tools (3 tools)
- `web_search`: Google Custom Search integration
- `download`: HTTP/HTTPS file downloads with safety checks
- `knowledge_base_search`: Local document search

### 2. Multimodal Understanding Tools (4 tools)
- `webpage_reader`: HTML content extraction
- `document_reader`: PDF/DOCX/PPTX processing
- `image_parser`: Image analysis with PIL
- `video_parser`: Video metadata extraction with OpenCV

### 3. File System Tools (3 tools)
- `file_reader`: File reading with encoding support
- `grep`: Regex pattern search in files
- `text_summarizer`: Text summarization (extractive/LLM)

### 4. Public Data Source Tools (6 tools)
- `weather`: OpenWeather API integration
- `stock_price`: Yahoo Finance data
- `currency_converter`: Exchange rate conversion
- `wikipedia_search`: Wikipedia API wrapper
- `arxiv_search`: Academic paper search
- `wayback_search`: Internet Archive access

### 5. Private Data Source Tools (2 tools)
- `calendar_events`: Google Calendar OAuth2 integration
- `notion_search`: Notion API wrapper

## Key Features

### Error Handling
- Consistent error response format
- Detailed error types for debugging
- Graceful degradation when services unavailable

### Configuration Management
- Environment variable based configuration
- Template file for easy setup
- Optional dependencies clearly marked

### Response Format
All tools return standardized JSON responses:

```json
{
  "success": true/false,
  "message": "Result data or error message",
  "metadata": {
    "additional": "context information"
  }
}
```

### Safety Features
- File size limits for downloads
- Timeout controls for network operations
- Path validation to prevent directory traversal
- URL validation for external requests

## Testing

### Import Verification
```bash
python test_imports.py
```

### Functional Testing
```bash
python quickstart.py
```

### Manual MCP Server Testing
```bash
cd src && python main.py
```

## Dependencies

### Core
- `mcp`: MCP server framework
- `pydantic`: Data validation
- `python-dotenv`: Configuration management
- `requests`: HTTP client

### Document Processing
- `PyPDF2`: PDF parsing
- `python-docx`: Word documents
- `python-pptx`: PowerPoint presentations
- `Pillow`: Image processing
- `opencv-python`: Video processing

### Web Scraping
- `beautifulsoup4`: HTML parsing
- `lxml`: XML/HTML parser

### Data Sources
- `wikipedia`: Wikipedia API
- `arxiv`: ArXiv API

### Optional
- Google Calendar: `google-auth-*`, `google-api-python-client`
- Notion: `notion-client`

## Configuration Requirements

### Required for Full Functionality
- `GOOGLE_API_KEY`: For web search
- `GOOGLE_CSE_ID`: For web search
- `OPENWEATHER_API_KEY`: For weather data

### Optional
- `NOTION_API_KEY`: For Notion integration
- Google OAuth2 credentials: For Calendar integration

## Performance Considerations

- Default timeouts: 30-180 seconds depending on operation
- File size limits: 100MB for downloads, 500MB for videos
- Text truncation: 50,000 characters for file reading
- Result limits: Configurable per tool (typically 5-10 items)

## Future Enhancements

Potential additions:
1. LLM-based summarization integration
2. Image analysis with vision APIs
3. Video frame extraction and analysis
4. Database search integration
5. Email integration (Gmail, Outlook)
6. Slack/Discord integration
7. GitHub API integration
8. Real-time data streaming support

## MCP Integration

The server uses FastMCP with stdio transport, making it compatible with:
- Claude Desktop
- Other MCP-compatible clients
- Custom integration via stdio communication

## Documentation

Comprehensive documentation provided:
- `README.md`: Overview and quick start
- `SETUP.md`: Detailed setup instructions
- `TOOL_REFERENCE.md`: Complete API reference for all 18 tools
- `PROJECT_SUMMARY.md`: This file

## Code Quality

- Type hints throughout
- Comprehensive docstrings
- Consistent formatting
- Error handling at all levels
- Logging for debugging

## Maintenance

To add new tools:
1. Create function in appropriate module
2. Follow existing patterns (async, ActionResponse)
3. Register in `main.py` with `@mcp.tool` decorator
4. Update documentation

## Success Metrics

✅ 18 tools implemented across 5 categories
✅ Modular architecture following SOLID principles
✅ Comprehensive error handling
✅ Complete documentation
✅ Easy configuration and setup
✅ MCP-compatible server ready for production use

## Status

**Implementation: Complete**
**Documentation: Complete**
**Testing Framework: Complete**
**Ready for Use: Yes (with dependency installation)**
