# Enhanced CLI Install Command - Implementation Summary

## Overview

Enhanced the `mcp-vector-search install` command to provide complete setup including multi-tool MCP integration for various AI coding tools (Claude Code, Claude Desktop, Cursor, Windsurf, VS Code).

## Key Features Implemented

### 1. Multi-Tool MCP Detection

**Function: `detect_ai_tools()`**
- Automatically detects installed AI coding tools by checking for config files
- Supports: Claude Code, Claude Desktop, Cursor, Windsurf, VS Code
- Returns dictionary mapping tool names to config file paths

```python
detected_tools = detect_ai_tools()
# Returns: {'claude-code': Path('~/.claude.json'), 'cursor': Path('~/.cursor/mcp.json'), ...}
```

### 2. Universal MCP Server Configuration

**Function: `get_mcp_server_config()`**
- Generates standardized MCP server configuration
- Uses `uv run` for cross-environment compatibility
- Configurable file watching support

### 3. Tool-Specific Configuration

**Function: `configure_mcp_for_tool()`**
- Safely adds MCP server to tool-specific config files
- Creates automatic backups before modifications
- Handles tool-specific format requirements
- Rollback support on failures

### 4. Interactive Setup Workflow

**Function: `setup_mcp_integration()`**
- Interactive tool selection when multiple tools detected
- Options:
  1. Configure all detected tools
  2. Choose specific tool(s)
  3. Skip MCP setup
- Non-interactive mode for automation

### 5. Enhanced Main Install Command

**New Command Signature:**
```bash
mcp-vector-search install PROJECT_PATH [OPTIONS]
```

**New Options:**
- `--mcp-tool`: Specify tool (claude-code, cursor, etc.)
- `--no-watch`: Disable file watching
- `--no-index`: Skip initial indexing
- `--no-mcp`: Skip MCP integration
- All existing options preserved

**Installation Workflow:**
1. **Step 1**: Initialize project with configuration
2. **Step 2**: Index codebase (unless --no-index)
3. **Step 3**: Configure MCP integration (unless --no-mcp)
4. **Step 4**: Verification checks
5. **Step 5**: Display next steps with tool-specific guidance

### 6. Rich User Experience

**Features:**
- Progress indicators with spinners
- Color-coded status messages
- Verification checklist
- Tool-specific next steps
- Recovery instructions on failures

## Usage Examples

### Basic Installation
```bash
# Install in current directory with auto-detection
mcp-vector-search install .

# Install in specific directory
mcp-vector-search install ~/my-project
```

### MCP Integration Options
```bash
# Skip MCP integration
mcp-vector-search install . --no-mcp

# Configure specific tool only
mcp-vector-search install . --mcp-tool claude-code

# Disable file watching
mcp-vector-search install . --no-watch
```

### Advanced Options
```bash
# Custom file extensions
mcp-vector-search install . --extensions .py,.js,.ts,.dart

# Skip initial indexing
mcp-vector-search install . --no-index

# Force re-initialization
mcp-vector-search install . --force
```

## Supported AI Tools

| Tool | Config Location | Format |
|------|-----------------|--------|
| Claude Code | `~/.claude.json` | Requires `type: "stdio"` |
| Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` | Standard |
| Cursor | `~/.cursor/mcp.json` | Standard |
| Windsurf | `~/.codeium/windsurf/mcp_config.json` | Standard |
| VS Code | `~/.vscode/mcp.json` | Standard |

## Interactive Tool Selection Example

When multiple tools are detected:

```
🔍 Detected AI coding tools:
  1. claude-code
  2. cursor

Configure MCP integration for:
  [1] All detected tools
  [2] Choose specific tool(s)
  [3] Skip MCP setup

Select option [1]:
```

## Next Steps Display

After successful installation:

```
🎉 Installation Complete!

✨ Setup Summary:
  ✅ Vector database initialized
  ✅ Codebase indexed and searchable
  ✅ MCP integration configured for: claude-code, cursor

🚀 Ready to use:
  • Search your code: mcp-vector-search search 'your query'
  • Check status: mcp-vector-search status

🤖 Using MCP Integration:
  • Open Claude Code in this project directory
  • Use: 'Search my code for authentication functions'
  • Open Cursor in this project directory
  • MCP tools should be available automatically

💡 Tip: Run 'mcp-vector-search --help' for more commands
```

## Error Handling

### Automatic Backup & Rollback
- Creates `.backup` files before modifying configs
- Restores backups on configuration failures
- Continues installation even if individual tool configuration fails

### Recovery Instructions
On failure, provides clear recovery steps:
```
Recovery steps:
  1. Check that the project directory exists and is writable
  2. Ensure required dependencies are installed: pip install mcp-vector-search
  3. Try running with --force to override existing configuration
  4. Check logs with --verbose flag for more details
```

## Testing

### Basic Functionality Test
```bash
# Create test project
cd /tmp && mkdir test-project && cd test-project
echo "def hello(): print('Hello')" > test.py

# Run installation
mcp-vector-search install . --no-mcp --extensions .py

# Verify search works
mcp-vector-search search "hello"
```

### MCP Integration Test
```bash
# Install with MCP integration
mcp-vector-search install . --mcp-tool claude-code

# Verify config created
ls -la ~/.claude.json

# Test in Claude Code
# Open Claude Code and run: "Search my code for hello function"
```

## Technical Implementation

### Key Files Modified
- `src/mcp_vector_search/cli/commands/install.py` - Main implementation

### Helper Functions Added
1. `detect_ai_tools()` - Tool detection
2. `get_mcp_server_config()` - Config generation
3. `configure_mcp_for_tool()` - Tool-specific setup
4. `setup_mcp_integration()` - Orchestration
5. `print_next_steps()` - User guidance

### Integration Points
- Reuses `ProjectManager.initialize()` for project setup
- Reuses `run_indexing()` from index command
- Uses Rich library for beautiful CLI output
- Follows existing CLI patterns and conventions

## Code Quality

### Follows Python Engineer Best Practices
- ✅ Type hints throughout
- ✅ Comprehensive docstrings
- ✅ Error handling with rollback
- ✅ User-friendly error messages
- ✅ Progress indicators
- ✅ Backup before modifications
- ✅ Non-destructive operations

### Design Patterns
- **Strategy Pattern**: Tool-specific configuration
- **Template Method**: Standard installation workflow
- **Factory Pattern**: Config generation
- **Observer Pattern**: Progress tracking

## Future Enhancements

Potential improvements:
1. Add `--batch-install` for multiple projects
2. Support custom MCP server configurations
3. Add `--verify` flag to test MCP connection
4. Support workspace-level configs for VS Code
5. Add `--uninstall-mcp` to remove integrations

## Conclusion

The enhanced install command provides a comprehensive, user-friendly setup experience that:
- Reduces installation friction
- Supports multiple AI tools
- Provides clear guidance
- Handles errors gracefully
- Maintains backward compatibility

Users can now install mcp-vector-search with full MCP integration for their preferred AI tools in a single command.
