Major improvements to thinking capabilities and API integration:
- Remove all output token limits for future-proof responses
- Add 5-level thinking mode system: minimal, low, medium, high, max
- Migrate from google-generativeai to google-genai library
- Implement native thinkingBudget support for Gemini 2.5 Pro
- Set medium thinking as default for all tools, max for think_deeper
🧠 Thinking Modes:
- minimal (128 tokens) - simple tasks
- low (2048 tokens) - basic reasoning
- medium (8192 tokens) - default for most tools
- high (16384 tokens) - complex analysis
- max (32768 tokens) - default for think_deeper
🔧 Technical Changes:
- Complete migration to google-genai>=1.19.0
- Remove google-generativeai dependency
- Add ThinkingConfig with thinking_budget parameter
- Update all tools to support thinking_mode parameter
- Comprehensive test suite with 37 passing unit tests
- CI-friendly testing (no API key required for unit tests)
- Live integration tests for API verification
🧪 Testing & CI:
- Add GitHub Actions workflow with multi-Python support
- Unit tests use mocks, no API key required
- Live integration tests optional with API key
- Contributing guide with development setup
- All tests pass without external dependencies
🐛 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Remove the hardcoded 32,768 token output limit to allow Gemini to use
its default/dynamic output token allocation. This provides more
flexibility for responses without artificial constraints.
- Remove MAX_OUTPUT_TOKENS constant from config
- Remove max_tokens parameter from ToolRequest base model
- Clean up all references in server.py and tools/base.py
- Remove test_output_tokens.py as it's no longer needed
- Update imports to remove MAX_OUTPUT_TOKENS references
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add CHAT_PROMPT to establish Gemini as senior developer partner
- Update handle_chat to use system prompt for consistent context
- Emphasize edge case exploration and deep thinking in prompts
- Enable thoughtful brainstorming and validation capabilities
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Update chat tool description to emphasize collaborative thinking capabilities
- Add explicit triggers for brainstorming and sharing ideas with Gemini
- Enhance prompt parameter description to include "current thinking"
- Update README to highlight chat as a thinking partner
- Update MCP_DISCOVERY.md with current tool names and enhanced examples
- Bump version to 2.5.0
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add MAX_OUTPUT_TOKENS constant set to 32,768 (Gemini 2.5 Pro's limit)
- Update all tools and chat handler to use MAX_OUTPUT_TOKENS
- Add comprehensive tests for output token configuration
- Update README with configuration details and system prompt docs
This fixes the issue where Gemini responses were being cut off at 8192 tokens,
causing Claude to repeatedly ask for the same analysis.
Fixes#1🤖 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>
