Skip to main content
Glama
vitalune

Personal Knowledge Assistant

by vitalune
INSTALL.mdโ€ข10.8 kB
# Installation Guide Complete step-by-step installation guide for the Personal Knowledge Assistant MCP Server. ## ๐Ÿ“‹ Prerequisites ### System Requirements - **Operating System**: Windows 10+, macOS 10.15+, or Linux (Ubuntu 18.04+) - **Python**: Version 3.9 or higher - **Memory**: Minimum 4GB RAM (8GB recommended) - **Storage**: 2GB free disk space - **Network**: Internet connection for API integrations ### Required Software 1. **Python 3.9+** - Download from [python.org](https://www.python.org/downloads/) - Verify installation: `python --version` 2. **Git** (for cloning the repository) - Download from [git-scm.com](https://git-scm.com/) - Verify installation: `git --version` 3. **Claude Desktop** or compatible MCP client - Download from [Claude Desktop](https://claude.ai/desktop) ### Optional Dependencies - **Docker** (for containerized deployment) - **PostgreSQL** (for advanced data storage) - **Redis** (for enhanced caching) ## ๐Ÿš€ Installation Methods ### Method 1: Quick Install (Recommended) ```bash # Clone the repository git clone https://github.com/vitalune/IPA-mcp.git cd IPA-mcp # Install using the setup script ./scripts/install.sh ``` ### Method 2: Manual Installation #### Step 1: Clone the Repository ```bash git clone https://github.com/vitalune/IPA-mcp.git cd IPA-mcp ``` #### Step 2: Create Virtual Environment **On macOS/Linux:** ```bash python3 -m venv venv source venv/bin/activate ``` **On Windows:** ```cmd python -m venv venv venv\Scripts\activate ``` #### Step 3: Install Dependencies ```bash # Upgrade pip first pip install --upgrade pip # Install core dependencies pip install -r requirements.txt # Install development dependencies (optional) pip install -r tests/requirements.txt ``` #### Step 4: Install the Package ```bash pip install -e . ``` ### Method 3: Docker Installation ```bash # Clone the repository git clone https://github.com/vitalune/IPA-mcp.git cd IPA-mcp # Build the Docker image docker build -t ipa-mcp . # Run the container docker run -p 8080:8080 -v ./config:/app/config ipa-mcp ``` ## โš™๏ธ Configuration ### Step 1: Create Configuration File ```bash # Copy the example configuration cp config/config.example.yaml config/config.yaml # Edit the configuration file nano config/config.yaml # or use your preferred editor ``` ### Step 2: Basic Configuration Edit `config/config.yaml`: ```yaml # Basic application settings app: name: "Personal Knowledge Assistant" version: "1.0.0" environment: "development" # Change to "production" when ready debug: true # Set to false in production # Server settings server: host: "127.0.0.1" port: 8080 # Security settings security: encryption_enabled: true session_timeout_minutes: 60 require_mfa: false # Enable for production max_login_attempts: 5 # Privacy settings privacy: anonymize_logs: true data_retention_days: 90 enable_analytics: false # Database settings database: data_directory: "~/.ipa_mcp/data" cache_directory: "~/.ipa_mcp/cache" logs_directory: "~/.ipa_mcp/logs" encrypt_database: true ``` ### Step 3: Set Up API Credentials You'll need to configure API credentials for the services you want to use. See our [API Setup Guide](API_SETUP.md) for detailed instructions. **Quick Setup:** ```yaml integrations: gmail: enabled: true client_id: "your-gmail-client-id" client_secret: "your-gmail-client-secret" scopes: ["https://www.googleapis.com/auth/gmail.readonly"] twitter: enabled: true client_id: "your-twitter-client-id" client_secret: "your-twitter-client-secret" scopes: ["tweet.read", "tweet.write"] ``` ### Step 4: Initialize the Database ```bash # Create data directories and initialize database python -c "from src.config.settings import get_settings; settings = get_settings()" ``` ## ๐Ÿ”— Connect to Claude Desktop ### Step 1: Locate Claude Desktop Configuration **On macOS:** ```bash ~/Library/Application Support/Claude/claude_desktop_config.json ``` **On Windows:** ```cmd %APPDATA%\Claude\claude_desktop_config.json ``` **On Linux:** ```bash ~/.config/Claude/claude_desktop_config.json ``` ### Step 2: Add MCP Server Configuration Edit the Claude Desktop configuration file: ```json { "mcpServers": { "personal-knowledge-assistant": { "command": "python", "args": ["-m", "src.main"], "cwd": "/absolute/path/to/IPA-mcp", "env": { "PYTHONPATH": "/absolute/path/to/IPA-mcp" } } } } ``` **Replace `/absolute/path/to/IPA-mcp` with your actual installation path.** ### Step 3: Restart Claude Desktop Close and restart Claude Desktop to load the new MCP server. ## โœ… Verification ### Step 1: Test the Server ```bash # Activate your virtual environment (if using) source venv/bin/activate # On macOS/Linux # or venv\Scripts\activate # On Windows # Run the server in test mode python -m src.main --test ``` You should see output similar to: ``` INFO - Starting Personal Knowledge Assistant MCP Server INFO - Server initialized successfully INFO - 7 tools registered: send_email, analyze_email_patterns, post_social_media, analyze_social_engagement, manage_project_context, track_personal_metrics, generate_insights_report INFO - MCP server ready for connections ``` ### Step 2: Test in Claude Desktop 1. Open Claude Desktop 2. Start a new conversation 3. Try asking: "What MCP tools are available?" 4. You should see the Personal Knowledge Assistant tools listed ### Step 3: Test Basic Functionality Try these commands in Claude Desktop: ``` "List all available MCP tools" "Send a test email to myself" "Analyze my email patterns for the last week" ``` ## ๐Ÿ› Troubleshooting ### Common Issues #### 1. Python Version Issues **Error:** `ModuleNotFoundError` or version compatibility issues **Solution:** ```bash # Check Python version python --version # If using Python 3.9+, try: python3.9 -m pip install -r requirements.txt python3.9 -m src.main ``` #### 2. Virtual Environment Issues **Error:** Commands not found or import errors **Solution:** ```bash # Make sure virtual environment is activated source venv/bin/activate # macOS/Linux venv\Scripts\activate # Windows # Verify activation which python # Should point to venv/bin/python ``` #### 3. Permission Issues **Error:** Permission denied when creating directories **Solution:** ```bash # On macOS/Linux chmod +x scripts/install.sh sudo chown -R $USER:$USER ~/.ipa_mcp # On Windows, run as Administrator ``` #### 4. Claude Desktop Connection Issues **Error:** MCP server not appearing in Claude Desktop **Solutions:** - Verify the absolute path in `claude_desktop_config.json` - Check that Python is in your system PATH - Restart Claude Desktop after configuration changes - Check Claude Desktop logs for error messages **View Claude Desktop logs:** - **macOS**: `~/Library/Logs/Claude/` - **Windows**: `%LOCALAPPDATA%\Claude\logs\` - **Linux**: `~/.local/share/Claude/logs/` #### 5. Network/Firewall Issues **Error:** Connection timeouts or API failures **Solutions:** - Check firewall settings (allow port 8080) - Verify internet connection - Test API credentials separately - Check corporate proxy settings ### Environment-Specific Issues #### Windows ```cmd # If you get SSL errors pip install --upgrade certifi # If pip fails python -m pip install --upgrade pip python -m pip install -r requirements.txt ``` #### macOS ```bash # If you get certificate errors /Applications/Python\ 3.x/Install\ Certificates.command # If using Homebrew Python brew install python@3.9 pip3.9 install -r requirements.txt ``` #### Linux ```bash # Install system dependencies sudo apt-get update sudo apt-get install python3-dev python3-pip python3-venv # For CentOS/RHEL sudo yum install python3-devel python3-pip ``` ## ๐Ÿ”ง Advanced Configuration ### Production Deployment For production deployment, update your configuration: ```yaml # config/config.yaml app: environment: "production" debug: false security: require_mfa: true session_timeout_minutes: 30 encryption_enabled: true audit: audit_enabled: true audit_file_rotation: true security_alerts_enabled: true database: encrypt_database: true database_backup_enabled: true ``` ### Environment Variables You can override configuration with environment variables: ```bash export IPA_MCP_ENVIRONMENT=production export IPA_MCP_DEBUG=false export IPA_MCP_ENCRYPTION_ENABLED=true export IPA_MCP_DATA_DIRECTORY=/secure/data/path ``` ### Custom Installation Paths ```bash # Install to custom location pip install -e . --prefix /custom/path # Update Claude Desktop config { "mcpServers": { "personal-knowledge-assistant": { "command": "/custom/path/bin/python", "args": ["-m", "src.main"], "cwd": "/custom/path/IPA-mcp" } } } ``` ## ๐Ÿ“Š Performance Optimization ### System Optimization ```bash # Increase file descriptor limits (Linux/macOS) ulimit -n 8192 # Optimize Python garbage collection export PYTHONOPTIMIZE=1 ``` ### Database Optimization ```yaml # config/config.yaml database: cache_compression_enabled: true max_cache_size_mb: 500 backup_retention_count: 10 ``` ## ๐Ÿ”„ Updates ### Updating the Installation ```bash # Pull latest changes git pull origin main # Update dependencies pip install -r requirements.txt --upgrade # Restart the server # (Claude Desktop will automatically restart the MCP server) ``` ### Version Migration ```bash # Check current version python -c "from src import __version__; print(__version__)" # Run migration scripts (if needed) python scripts/migrate.py --from-version 1.0.0 --to-version 1.1.0 ``` ## ๐Ÿ†˜ Getting Help If you encounter issues: 1. **Check the logs**: Look in `~/.ipa_mcp/logs/` for error messages 2. **Review configuration**: Verify your `config/config.yaml` settings 3. **Test components**: Run individual tests to isolate issues 4. **Consult documentation**: Check our [Troubleshooting Guide](TROUBLESHOOTING.md) 5. **Community support**: Ask questions in [GitHub Discussions](https://github.com/vitalune/IPA-mcp/discussions) 6. **Report bugs**: Create an issue on [GitHub Issues](https://github.com/vitalune/IPA-mcp/issues) ## โœ… Next Steps After successful installation: 1. **Configure API Credentials**: Follow the [API Setup Guide](API_SETUP.md) 2. **Learn the Features**: Read the [User Guide](USER_GUIDE.md) 3. **Customize Settings**: Review the [Configuration Reference](CONFIGURATION.md) 4. **Explore Examples**: Try the sample workflows in [Examples](EXAMPLES.md) --- **Installation complete! ๐ŸŽ‰** Your Personal Knowledge Assistant MCP Server is now ready to transform how you manage and analyze your personal information.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vitalune/Nexus-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server