This Model Context Protocol (MCP) server integrates Google's Gemini AI with Claude Code to offer a powerful, multi-model approach to code analysis and reasoning. It intelligently routes complex code understanding tasks, leveraging Claude's strengths in local context and CLI-native workflows for incremental changes, and Gemini's massive 1M-token context window and code execution capabilities for large-scale distributed system debugging, long-trace analysis, and performance modeling. This allows for an 'escalation' strategy where the most capable AI is used for each specific sub-task, enabling deeper insights into execution flow, cross-system impacts, and hypothesis testing.
主要功能
01Gemini 2.5 Pro Preview with 1M token context
02AI-to-AI conversational analysis for iterative problem-solving
03Execution flow and data transformation tracing
04Cross-system impact analysis across service boundaries
05Hypothesis testing with evidence-based validation
06105 GitHub stars
