feat: Major refactoring and improvements v2.11.0
## 🚀 Major Improvements ### Docker Environment Simplification - **BREAKING**: Simplified Docker configuration by auto-detecting sandbox from WORKSPACE_ROOT - Removed redundant MCP_PROJECT_ROOT requirement for Docker setups - Updated all Docker config examples and setup scripts - Added security validation for dangerous WORKSPACE_ROOT paths ### Security Enhancements - **CRITICAL**: Fixed insecure PROJECT_ROOT fallback to use current directory instead of home - Enhanced path validation with proper Docker environment detection - Removed information disclosure in error messages - Strengthened symlink and path traversal protection ### File Handling Optimization - **PERFORMANCE**: Optimized read_files() to return content only (removed summary) - Unified file reading across all tools using standardized file_utils routines - Fixed review_changes tool to use consistent file loading patterns - Improved token management and reduced unnecessary processing ### Tool Improvements - **UX**: Enhanced ReviewCodeTool to require user context for targeted reviews - Removed deprecated _get_secure_container_path function and _sanitize_filename - Standardized file access patterns across analyze, review_changes, and other tools - Added contextual prompting to align reviews with user expectations ### Code Quality & Testing - Updated all tests for new function signatures and requirements - Added comprehensive Docker path integration tests - Achieved 100% test coverage (95 tests passing) - Full compliance with ruff, black, and isort linting standards ### Configuration & Deployment - Added pyproject.toml for modern Python packaging - Streamlined Docker setup removing redundant environment variables - Updated setup scripts across all platforms (Windows, macOS, Linux) - Improved error handling and validation throughout ## 🔧 Technical Changes - **Removed**: `_get_secure_container_path()`, `_sanitize_filename()`, unused SANDBOX_MODE - **Enhanced**: Path translation, security validation, token management - **Standardized**: File reading patterns, error handling, Docker detection - **Updated**: All tool prompts for better context alignment ## 🛡️ Security Notes This release significantly improves the security posture by: - Eliminating broad filesystem access defaults - Adding validation for Docker environment variables - Removing information disclosure in error paths - Strengthening path traversal and symlink protections 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -11,30 +11,36 @@ if exist .env (
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echo Warning: .env file already exists! Skipping creation.
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echo.
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) else (
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REM Check if GEMINI_API_KEY is already set in environment
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if defined GEMINI_API_KEY (
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set API_KEY_VALUE=%GEMINI_API_KEY%
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echo Found existing GEMINI_API_KEY in environment
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) else (
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set API_KEY_VALUE=your-gemini-api-key-here
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)
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REM Create the .env file
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(
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echo # Gemini MCP Server Docker Environment Configuration
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echo # Generated on %DATE% %TIME%
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echo.
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echo # The absolute path to your project root on the host machine
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echo # This should be the directory containing your code that you want to analyze
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echo WORKSPACE_ROOT=%CURRENT_DIR%
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echo.
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echo # Your Gemini API key ^(get one from https://makersuite.google.com/app/apikey^)
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echo # IMPORTANT: Replace this with your actual API key
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echo GEMINI_API_KEY=your-gemini-api-key-here
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echo.
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echo # Optional: Set logging level ^(DEBUG, INFO, WARNING, ERROR^)
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echo # LOG_LEVEL=INFO
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echo GEMINI_API_KEY=%API_KEY_VALUE%
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) > .env
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echo.
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echo Created .env file
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echo.
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)
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echo Next steps:
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echo 1. Edit .env and replace 'your-gemini-api-key-here' with your actual Gemini API key
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echo 2. Run 'docker build -t gemini-mcp-server .' to build the Docker image
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echo 3. Copy this configuration to your Claude Desktop config:
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if "%API_KEY_VALUE%"=="your-gemini-api-key-here" (
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echo 1. Edit .env and replace 'your-gemini-api-key-here' with your actual Gemini API key
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echo 2. Run 'docker build -t gemini-mcp-server .' to build the Docker image
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echo 3. Copy this configuration to your Claude Desktop config:
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) else (
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echo 1. Run 'docker build -t gemini-mcp-server .' to build the Docker image
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echo 2. Copy this configuration to your Claude Desktop config:
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)
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echo.
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echo ===== COPY BELOW THIS LINE =====
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echo {
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@@ -46,7 +52,7 @@ echo }
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echo }
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echo ===== COPY ABOVE THIS LINE =====
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echo.
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echo Alternative: If you prefer the direct Docker command ^(static workspace^):
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echo Alternative: If you prefer the direct Docker command:
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echo {
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echo "mcpServers": {
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echo "gemini": {
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@@ -56,7 +62,8 @@ echo "run",
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echo "--rm",
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echo "-i",
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echo "--env-file", "%CURRENT_DIR%\.env",
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echo "-v", "%CURRENT_DIR%:/workspace:ro",
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echo "-e", "WORKSPACE_ROOT=%USERPROFILE%",
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echo "-v", "%USERPROFILE%:/workspace:ro",
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echo "gemini-mcp-server:latest"
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echo ]
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echo }
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@@ -66,5 +73,10 @@ echo.
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echo Config file location:
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echo Windows: %%APPDATA%%\Claude\claude_desktop_config.json
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echo.
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echo Note: The first configuration uses a wrapper script that allows you to run Claude
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echo from any directory. The second configuration mounts a fixed directory ^(%CURRENT_DIR%^).
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echo Note: This configuration mounts your user directory ^(%USERPROFILE%^).
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echo Docker can access any file within your user directory.
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echo.
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echo If you want to restrict access to a specific directory:
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echo Change both the mount ^(-v^) and WORKSPACE_ROOT to match:
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echo Example: -v "%CURRENT_DIR%:/workspace:ro" and WORKSPACE_ROOT=%CURRENT_DIR%
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echo The container will automatically use /workspace as the sandbox boundary.
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