# Personal Knowledge Assistant MCP Server

A comprehensive Model Context Protocol (MCP) server that transforms how you manage and analyze your personal information across email, social media, documents, and productivity metrics.

[![Python 3.9+](https://img.shields.io/badge/python-3.9+-blue.svg)](https://www.python.org/downloads/)
[![MCP Compatible](https://img.shields.io/badge/MCP-compatible-green.svg)](https://github.com/anthropic/mcp)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Security: Encrypted](https://img.shields.io/badge/Security-Encrypted-red.svg)](docs/SECURITY.md)

## 🚀 Features

### 📧 **Email Intelligence**
- **Smart Email Management**: Search, analyze, and compose emails with AI assistance
- **Communication Pattern Analysis**: Understand your email habits, response times, and relationship dynamics
- **Thread Analysis**: Track email conversations and extract actionable insights
- **Automated Categorization**: Intelligent labeling and organization of your inbox

### 🌐 **Social Media Integration** 
- **Multi-Platform Support**: Twitter, LinkedIn, Facebook, and Instagram
- **Content Performance Analysis**: Track engagement metrics, reach, and audience insights
- **Optimal Timing**: AI-powered recommendations for when to post
- **Cross-Platform Publishing**: Post to multiple platforms simultaneously

### 📁 **Document Management**
- **Universal Search**: Find documents across Google Drive, Dropbox, and local files
- **Content Analysis**: Extract key insights and summaries from documents
- **Version Tracking**: Monitor document changes and collaboration patterns
- **Smart Organization**: Automatic tagging and categorization

### 📊 **Personal Analytics**
- **Productivity Metrics**: Track work patterns, focus time, and task completion
- **Habit Monitoring**: Build and maintain positive habits with data-driven insights
- **Goal Progress**: Monitor and analyze progress toward personal and professional goals
- **Health & Wellness**: Integrate mood, energy, and wellness tracking

### 🧠 **AI-Powered Insights**
- **Behavioral Pattern Detection**: Identify trends in your communication and work habits
- **Predictive Analytics**: Anticipate busy periods and optimize your schedule
- **Relationship Mapping**: Visualize your professional and personal networks
- **Automated Reports**: Daily, weekly, and monthly insight summaries

### 🔒 **Privacy & Security**
- **End-to-End Encryption**: All data encrypted at rest and in transit
- **Local Processing**: Sensitive analysis performed locally when possible
- **GDPR Compliant**: Full data export and deletion capabilities
- **Audit Logging**: Complete audit trail of all data access and processing

## 🎯 Quick Start

### Prerequisites
- Python 3.9 or higher
- Claude Desktop app or compatible MCP client
- API credentials for services you want to integrate

### Installation

1. **Clone the repository**
```bash
git clone https://github.com/vitalune/IPA-mcp.git
cd IPA-mcp
```

2. **Install dependencies**
```bash
pip install -r requirements.txt
```

3. **Configure API credentials**
```bash
cp config/config.example.yaml config/config.yaml
# Edit config/config.yaml with your API credentials
```

4. **Initialize the server**
```bash
python -m src.main
```

### Connect to Claude Desktop

Add this configuration to your Claude Desktop MCP settings:

```json
{
  "mcpServers": {
    "personal-knowledge-assistant": {
      "command": "python",
      "args": ["-m", "src.main"],
      "cwd": "/path/to/IPA-mcp"
    }
  }
}
```

## 🛠️ Available Tools

The server provides 7 powerful MCP tools:

| Tool | Description | Key Features |
|------|-------------|--------------|
| `send_email` | Compose and send emails with AI assistance | Smart composition, attachment support, multiple recipients |
| `analyze_email_patterns` | Analyze communication patterns and relationships | Response times, frequency analysis, sentiment tracking |
| `post_social_media` | Create and schedule social media posts | Multi-platform, optimal timing, hashtag suggestions |
| `analyze_social_engagement` | Track social media performance and insights | Engagement metrics, audience analysis, trend identification |
| `manage_project_context` | Organize projects, tasks, and deadlines | Intelligent prioritization, timeline tracking, team collaboration |
| `track_personal_metrics` | Monitor productivity, habits, and goals | Custom metrics, trend analysis, achievement tracking |
| `generate_insights_report` | Create comprehensive analytics reports | Multi-source data, actionable recommendations, export options |

## 📖 Documentation

- [**Installation Guide**](docs/INSTALL.md) - Detailed setup instructions
- [**API Setup Guide**](docs/API_SETUP.md) - Configure Gmail, Twitter, LinkedIn, and more
- [**User Guide**](docs/USER_GUIDE.md) - How to use all features effectively
- [**Configuration Reference**](docs/CONFIGURATION.md) - Complete configuration options
- [**Security Overview**](docs/SECURITY.md) - Privacy and security features
- [**Troubleshooting**](docs/TROUBLESHOOTING.md) - Common issues and solutions
- [**API Reference**](docs/API_REFERENCE.md) - Developer documentation

## 🔧 Configuration

### Basic Configuration

```yaml
# config/config.yaml
app:
  name: "Personal Knowledge Assistant"
  environment: "development"

security:
  encryption_enabled: true
  session_timeout_minutes: 60
  require_mfa: false

privacy:
  anonymize_logs: true
  data_retention_days: 90
  enable_analytics: false

integrations:
  gmail:
    enabled: true
    scopes: ["gmail.readonly", "gmail.send"]
  
  twitter:
    enabled: true
    scopes: ["tweet.read", "tweet.write"]
    
  linkedin:
    enabled: true
    scopes: ["r_liteprofile", "w_member_social"]
```

### API Credentials

Set up your API credentials by following our detailed [API Setup Guide](docs/API_SETUP.md):

- **Gmail/Google Drive**: Google Cloud Console OAuth 2.0
- **Twitter**: Twitter Developer Portal API keys
- **LinkedIn**: LinkedIn Developer Program credentials
- **Other Services**: Platform-specific setup instructions

## 🧪 Testing

Run the comprehensive test suite:

```bash
# Install test dependencies
pip install -r tests/requirements.txt

# Run all tests
pytest tests/

# Run specific test categories
pytest tests/unit/           # Unit tests
pytest tests/integration/    # Integration tests  
pytest tests/security/       # Security tests
pytest tests/mcp/           # MCP protocol compliance

# Generate coverage report
pytest --cov=src tests/
```

## 🚀 Example Usage

### Analyze Your Email Patterns
```python
# Ask Claude: "Analyze my email communication patterns for the last month"
# The MCP server will:
# 1. Fetch emails from the specified timeframe
# 2. Analyze response times, frequency, and relationships
# 3. Generate insights about your communication habits
# 4. Provide actionable recommendations
```

### Cross-Platform Social Media Management
```python
# Ask Claude: "Post about our product launch to Twitter and LinkedIn, optimized for engagement"
# The MCP server will:
# 1. Analyze your audience and engagement patterns
# 2. Suggest optimal posting times
# 3. Craft platform-appropriate content
# 4. Schedule posts across multiple platforms
```

### Comprehensive Productivity Analysis
```python
# Ask Claude: "Generate a weekly productivity report with insights and recommendations"
# The MCP server will:
# 1. Aggregate data from emails, calendar, and personal metrics
# 2. Identify productivity patterns and bottlenecks
# 3. Compare with previous periods
# 4. Provide personalized improvement suggestions
```

## 🏗️ Architecture

The Personal Knowledge Assistant is built with a modular, secure architecture:

```
├── src/
│   ├── main.py              # MCP server entry point
│   ├── tools/               # MCP tool implementations
│   ├── integrations/        # API client implementations
│   ├── utils/               # Analytics, NLP, and utilities
│   ├── models/              # Data models and schemas
│   └── config/              # Configuration and authentication
├── tests/                   # Comprehensive test suite
├── docs/                    # Documentation
└── config/                  # Configuration templates
```

### Key Components

- **MCP Protocol Layer**: Standards-compliant MCP server implementation
- **API Integration Layer**: Secure, rate-limited connections to external services
- **Analytics Engine**: Advanced data processing and insight generation
- **Security Layer**: Encryption, authentication, and privacy controls
- **Storage Layer**: Secure local data storage with optional cloud sync

## 🤝 Contributing

We welcome contributions! Please see our [Contributing Guide](docs/CONTRIBUTING.md) for details.

1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Make your changes with tests
4. Run the test suite (`pytest tests/`)
5. Commit your changes (`git commit -m 'Add amazing feature'`)
6. Push to the branch (`git push origin feature/amazing-feature`)
7. Open a Pull Request

## 📄 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## ⚠️ Security & Privacy

Your privacy is our priority:

- **Local-First**: Sensitive processing happens on your machine
- **Encrypted Storage**: All data encrypted using industry-standard algorithms
- **Minimal Data Collection**: We only collect what's necessary for functionality
- **Transparent Logging**: Complete audit trail of all data access
- **User Control**: Full data export and deletion capabilities

For more details, see our [Security Documentation](docs/SECURITY.md).

## 🆘 Support

- **Documentation**: Check our [comprehensive docs](docs/)
- **Issues**: [GitHub Issues](https://github.com/vitalune/IPA-mcp/issues)
- **Discussions**: [GitHub Discussions](https://github.com/vitalune/IPA-mcp/discussions)
- **Security**: For security issues, email amirvalizadeh161@gmail.com

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<div align="center">

**Transform your personal knowledge management with AI-powered insights**

[Get Started](docs/INSTALL.md) | [Documentation](docs/) | [Community](https://github.com/vitalune/discussions)

</div>