Add automatic detection for Claude CLI installed via native methods:
- curl https://claude.ai/install.sh | bash -> ~/.local/bin/claude
- brew install --cask claude-code -> /opt/homebrew/bin/claude (Apple Silicon)
- brew install --cask claude-code -> /usr/local/bin/claude (Intel Mac/Linux)
When claude is not found in PATH, the script checks these paths in order
and adds the first found to PATH, with informative log messages.
Closes#303
Disabled secondary tools by default (for new installations), updated README.md with instructions on how to enable these in .env
run-server.sh now displays disabled / enabled tools (when DISABLED_TOOLS is set)
- Convert virtual environment Python paths to absolute paths to ensure
consistency across different shell environments (Git Bash, WSL, etc.)
- Add enhanced diagnostic information when pip detection fails to help
users troubleshoot path and environment issues
- Improve error messages with specific guidance for different platforms
- Fix black configuration to exclude .zen_venv directory from formatting
- Add comprehensive test suite for pip detection edge cases
Fixes#188
Modified run-server.sh to allow developers to set up the Python development
environment without having API keys configured. This enables:
- Developers to clone and immediately start working on the codebase
- Running tests that don't require API calls
- Browsing and understanding the code structure
- Adding API keys later when ready to test MCP server functionality
Changes:
- Added new check_api_keys() function that warns but doesn't exit
- Changed print_error to print_warning for missing keys
- Updated main() to use check_api_keys instead of validate_api_keys || exit 1
- Kept original validate_api_keys() for backward compatibility
The script now shows a warning when API keys are missing but continues
with the full Python environment setup, dependencies installation, and
Claude configuration.
* feat: Enhance run-server.sh with uv-first Python environment setup
- Implement uv-first approach for faster environment setup when available
- Add automatic WSL environment detection using wslvar for better Windows integration
- Improve system package installation by using bash -c for better command execution
- Add comprehensive environment validation and fallback mechanisms
- Optimize dependency installation with uv when environment supports it
- Enhance configuration display workflow for better user experience
- Add environment markers to track uv-created environments
- Improve error handling and user messaging throughout setup process
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: Add .claude/settings.local.json to .gitignore
Personal Claude Code settings should not be tracked in source control.
Reference: https://docs.anthropic.com/en/docs/claude-code/settings🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: Add shared Claude Code settings.json for team defaults
- Add .claude/settings.json with default permissions for team use
- Remove .claude/settings.local.json from git tracking (now personal config)
Reference: https://docs.anthropic.com/en/docs/claude-code/settings🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: Address Gemini Code Assist review issues in run-server.sh
- Fix hardcoded Unix paths (lines 563 & 568) with cross-platform detection
- Improve error handling by capturing uv stderr instead of /dev/null
- Fix uv environment detection logic to check uv_created marker file
Resolves three issues identified in PR review:
1. High Priority: Replace hardcoded $VENV_PATH/bin/python with detection
2. Medium Priority: Capture and display uv command errors for debugging
3. Medium Priority: Use marker file instead of path matching for uv detection
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: Address additional Gemini Code Assist feedback
- Enhance WSL warning message with more helpful guidance
- Add security comment explaining bash -c usage over eval
- Add get_venv_python_path helper function for cleaner cross-platform detection
- Improve path resolution error handling with proper error checking
Addresses 4 additional review points from gemini-code-assist to improve
user experience, code clarity, and error handling robustness.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
## Description
This PR implements a new [DIAL](https://dialx.ai/dial_api) (Data & AI Layer) provider for the Zen MCP Server, enabling unified access to multiple AI models through the DIAL API platform. DIAL provides enterprise-grade AI model access with deployment-specific routing similar to Azure OpenAI.
## Changes Made
- [x] Added support of atexit:
- Ensures automatic cleanup of provider resources (HTTP clients, connection pools) on server shutdown
- Fixed bug using ModelProviderRegistry.get_available_providers() instead of accessing private _providers
- Works with SIGTERM/Ctrl+C for graceful shutdown in both development and containerized environments
- [x] Added new DIAL provider (`providers/dial.py`) inheriting from `OpenAICompatibleProvider`
- [x] Updated server.py to register DIAL provider during initialization
- [x] Updated provider registry to include DIAL provider type
- [x] Implemented deployment-specific routing for DIAL's Azure OpenAI-style endpoints
- [x] Implemented performance optimizations:
- Connection pooling with httpx for better performance
- Thread-safe client caching with double-check locking pattern
- Proper resource cleanup with `close()` method
- [x] Added comprehensive unit tests with 16 test cases (`tests/test_dial_provider.py`)
- [x] Added DIAL configuration to `.env.example` with documentation
- [x] Added support for configurable API version via `DIAL_API_VERSION` environment variable
- [x] Added DIAL model restrictions support via `DIAL_ALLOWED_MODELS` environment variable
### Supported DIAL Models:
- OpenAI models: o3, o4-mini (and their dated versions)
- Google models: gemini-2.5-pro, gemini-2.5-flash (including search variant)
- Anthropic models: Claude 4 Opus/Sonnet (with and without thinking mode)
### Environment Variables:
- `DIAL_API_KEY`: Required API key for DIAL authentication
- `DIAL_API_HOST`: Optional base URL (defaults to https://core.dialx.ai)
- `DIAL_API_VERSION`: Optional API version header (defaults to 2025-01-01-preview)
- `DIAL_ALLOWED_MODELS`: Optional comma-separated list of allowed models
### Breaking Changes:
- None
### Dependencies:
- No new dependencies added (uses existing OpenAI SDK with custom routing)
* Migration from docker to standalone server
Migration handling
Fixed tests
Use simpler in-memory storage
Support for concurrent logging to disk
Simplified direct connections to localhost
* Migration from docker / redis to standalone script
Updated tests
Updated run script
Fixed requirements
Use dotenv
Ask if user would like to install MCP in Claude Desktop once
Updated docs
* More cleanup and references to docker removed
* Cleanup
* Comments
* Fixed tests
* Fix GitHub Actions workflow for standalone Python architecture
- Install requirements-dev.txt for pytest and testing dependencies
- Remove Docker setup from simulation tests (now standalone)
- Simplify linting job to use requirements-dev.txt
- Update simulation tests to run directly without Docker
Fixes unit test failures in CI due to missing pytest dependency.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Remove simulation tests from GitHub Actions
- Removed simulation-tests job that makes real API calls
- Keep only unit tests (mocked, no API costs) and linting
- Simulation tests should be run manually with real API keys
- Reduces CI costs and complexity
GitHub Actions now only runs:
- Unit tests (569 tests, all mocked)
- Code quality checks (ruff, black)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Fixed tests
* Fixed tests
---------
Co-authored-by: Claude <noreply@anthropic.com>
Further fixes to tests
Pass O3 simulation test when keys are not set, along with a notice
Updated docs on testing, simulation tests / contributing
Support for OpenAI o4-mini and o4-mini-high
