Supports decomposing large components and files, finding codesmells, finding modernizing opportunities as well as code organization opportunities. Fix this mega-classes today!
Line numbers added to embedded code for better references from model -> claude
OPENROUTER_ALLOWED_MODELS environment variable support to further limit the models to allow from within Claude. This will put a limit on top of even the ones listed in custom_models.json
Simulation tests to confirm threading and history traversal
Chain of communication and branching validation tests from live simulation
Temperature enforcement per model
This major refactoring addresses critical bugs in conversation history management
and significantly improves token efficiency through intelligent file embedding:
**Key Improvements:**
• Fixed conversation history duplication bug by centralizing reconstruction in server.py
• Added intelligent file filtering to prevent re-embedding files already in conversation history
• Centralized file processing logic in BaseTool._prepare_file_content_for_prompt()
• Enhanced log monitoring with better categorization and file embedding visibility
• Updated comprehensive test suite to verify new architecture and edge cases
**Architecture Changes:**
• Removed duplicate conversation history reconstruction from tools/base.py
• Conversation history now handled exclusively by server.py:reconstruct_thread_context
• All tools now use centralized file processing with automatic deduplication
• Improved token efficiency by embedding unique files only once per conversation
**Performance Benefits:**
• Reduced token usage through smart file filtering
• Eliminated redundant file embeddings in continued conversations
• Better observability with detailed debug logging for file operations
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit addresses several critical issues and improvements:
🔧 Critical Fixes:
- Fixed conversation history not being included when using continuation_id in AI-to-AI conversations
- Fixed test mock targeting issues preventing proper conversation memory validation
- Fixed Docker debug logging functionality with Gemini tools
🐛 Bug Fixes:
- Docker compose configuration for proper container command execution
- Test mock import targeting from utils.conversation_memory.* to tools.base.*
- Version bump to 3.1.0 reflecting significant improvements
🚀 Improvements:
- Enhanced Docker environment configuration with comprehensive logging setup
- Added cross-tool continuation documentation and examples in README
- Improved error handling and validation across all tools
- Better logging configuration with LOG_LEVEL environment variable support
- Enhanced conversation memory system documentation
🧪 Testing:
- Added comprehensive conversation history bug fix tests
- Added cross-tool continuation functionality tests
- All 132 tests now pass with proper conversation history validation
- Improved test coverage for AI-to-AI conversation threading
✨ Code Quality:
- Applied black, isort, and ruff formatting across entire codebase
- Enhanced inline documentation for conversation memory system
- Cleaned up temporary files and improved repository hygiene
- Better test descriptions and coverage for critical functionality
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Co-Authored-By: Claude <noreply@anthropic.com>
Remove Windows batch scripts and native setup instructions since Claude Code CLI
requires WSL on Windows. Consolidate Docker as primary recommendation across all platforms.
Changes:
- Remove setup.bat, run_gemini.bat, setup-docker-env.bat
- Remove examples/claude_config_windows.json
- Update README to clarify WSL requirement for Windows users
- Promote Docker as recommended setup for all platforms
- Update troubleshooting section for WSL-only support
- Apply code formatting fixes from ruff/black
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add use_websearch parameter to base ToolRequest class
- All tools now inherit web search capability automatically
- Enhanced description emphasizes brainstorming and architectural design
- Add get_websearch_instruction() helper method to base class
- Update all tools to include web search in their prompts when enabled
- Update README documentation with web search examples
- Fix linting issues (ruff, black formatting)
Web search is particularly useful for:
- Brainstorming sessions and architectural design discussions
- Exploring industry best practices
- Working with specific frameworks/technologies
- Researching solutions to complex problems
- Getting current documentation and community insights
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
Added check in translate_path_for_environment() to detect and skip
already-translated container paths (those starting with /workspace).
This prevents the function from attempting to translate paths like:
- /workspace/src/main.py -> /inaccessible/outside/mounted/volume/workspace/src/main.py
Now it correctly handles:
- Host path: /Users/.../src/main.py -> /workspace/src/main.py (translation)
- Container path: /workspace/src/main.py -> /workspace/src/main.py (no change)
Added comprehensive test to verify double-translation prevention.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed review_changes tool to properly translate host paths to container paths in Docker
- Prevents "No such file or directory" errors when running in Docker containers
- Added proper error handling with clear messages when paths are inaccessible
refactor: Centralized token limit validation across all tools
- Added _validate_token_limit method to BaseTool to eliminate code duplication
- Reduced ~25 lines of duplicated code across 5 tools (analyze, chat, debug_issue, review_code, think_deeper)
- Maintains exact same error messages and behavior
feat: Enhanced large prompt handling
- Added support for prompts >50K chars by requesting file-based input
- Preserves MCP's ~25K token capacity for responses
- All tools now check prompt size before processing
test: Added comprehensive Docker path integration tests
- Tests for path translation, security validation, and error handling
- Tests for review_changes tool specifically with Docker paths
- Fixed failing think_deeper test (updated default from "max" to "high")
chore: Code quality improvements
- Applied black formatting across all files
- Fixed import sorting with isort
- All tests passing (96 tests)
- Standardized error handling follows MCP TextContent format
The changes ensure consistent behavior across all environments while reducing code duplication and improving maintainability.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Implements comprehensive Docker support to eliminate Python version and dependency concerns.
Users can now run the MCP server in a container with automatic path translation between
host and container filesystems.
Key features:
- Dockerfile with multi-architecture support (amd64/arm64)
- Automatic path translation using WORKSPACE_ROOT environment variable
- Setup scripts for all platforms (Bash, CMD, PowerShell)
- GitHub Actions workflow for automated Docker Hub publishing
- Secure non-root container execution
- Read-only volume mounts by default
The setup process is now simplified to:
1. Run setup-docker-env script to generate .env and Claude config
2. Build the Docker image
3. Copy generated config to Claude Desktop
No Python installation or virtual environment management required.
Fixes#3
Co-Authored-By: Claude <noreply@anthropic.com>
- Add instruction for Gemini to request files when needed
- Add comprehensive tests for files parameter functionality
- Test file request instruction presence/absence based on context
- Run all tests, ruff, and black formatting
Now review_changes can both accept context files and allow Gemini
to request additional files during review for better validation.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Default to user's home directory instead of current working directory when MCP_PROJECT_ROOT is not set
- Replace fragile root directory check with cross-platform compatible approach using Path.parent == Path
- Add SANDBOX_MODE flag to explicitly track whether sandbox is user-configured or default
- Enhance security documentation to clarify the three-tier access model
- Prevent potential security vulnerabilities from overly permissive directory access
This change ensures more predictable and secure file access behavior, especially when the server
is launched from system directories or through automated tools like Claude Desktop.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- When started from Claude Desktop, working directory might be "/"
- Now defaults to user home directory if cwd is "/"
- Startup scripts change to script directory for consistency
- Simplified README to remove implementation details about PROJECT_ROOT
This fixes the "MCP_PROJECT_ROOT cannot be set to '/'" error
while maintaining security by preventing filesystem-wide access.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major changes:
- Add comprehensive documentation to all modules with detailed docstrings
- Remove unused THINKING_MODEL config (use single GEMINI_MODEL with thinking_mode param)
- Remove list_models functionality (simplified to single model configuration)
- Rename DEFAULT_MODEL to GEMINI_MODEL for clarity
- Remove unused python-dotenv dependency
- Fix missing pydantic in setup.py dependencies
Documentation improvements:
- Document security measures in file_utils.py (path validation, sandboxing)
- Add detailed comments to critical logic sections
- Document tool creation process in BaseTool
- Explain configuration values and their impact
- Add comprehensive function-level documentation
Code quality:
- Apply black formatting to all files
- Fix all ruff linting issues
- Update tests to match refactored code
- All 63 tests passing
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add new review_pending_changes tool for comprehensive pre-commit reviews
- Implement filesystem sandboxing with MCP_PROJECT_ROOT
- Enforce absolute paths for all file/directory operations
- Add comprehensive git utilities for repository management
- Update all tools to use centralized path validation
- Add extensive test coverage for new features and security model
- Update documentation with new tool and path requirements
- Remove obsolete demo and guide files
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Run black formatter on all Python files
- Fix ruff linting issues:
- Remove unused imports
- Remove unused variables
- Fix f-string without placeholders
- All 37 tests still pass
- Code quality improved for CI/CD compliance
🧹 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major improvements to file handling capabilities:
- Add directory traversal support to all file-processing tools
- Tools now accept both individual files and entire directories
- Automatically expand directories and discover code files recursively
- Smart filtering: skip hidden files, __pycache__, and non-code files
- Progressive token loading: read as many files as possible within limits
- Clear file separation markers with full paths for Gemini
Key changes:
- Rewrite file_utils.py with expand_paths() and improved read_files()
- Update all tool descriptions to indicate directory support
- Add comprehensive tests for directory handling and token limits
- Document tool parameters and examples in README
- Bump version to 2.4.2
All tools (analyze, review_code, debug_issue, think_deeper) now support:
- Single files: "analyze main.py"
- Directories: "review src/"
- Mixed paths: "analyze config.py, src/, tests/"
This enables analyzing entire projects or specific subsystems efficiently
while respecting token limits and providing clear file boundaries.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Applied isort to properly sort all imports according to PEP8:
- Standard library imports first
- Third-party imports second
- Local imports last
- Alphabetical ordering within each group
All tests still passing after import reordering.
Major redesign of Gemini MCP Server with modular architecture:
- Removed all emoji characters from tool outputs for clean terminal display
- Kept review category emojis (🔴🟠🟡🟢) per user preference
- Added 4 specialized tools:
- think_deeper: Extended reasoning and problem-solving (temp 0.7)
- review_code: Professional code review with severity levels (temp 0.2)
- debug_issue: Root cause analysis and debugging (temp 0.2)
- analyze: General-purpose file analysis (temp 0.2)
- Modular architecture with base tool class and Pydantic models
- Verbose tool descriptions with natural language triggers
- Updated README with comprehensive examples and real-world use cases
- All 25 tests passing, type checking clean, critical linting clean
BREAKING CHANGE: Removed analyze_code tool in favor of specialized tools
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
