Deep Code Reasoning

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This Model Context Protocol (MCP) server combines the strengths of Claude Code and Google's Gemini AI to offer sophisticated code analysis. It enables a multi-model workflow where Claude handles local context and CLI-native operations, while Gemini leverages its massive 1M token context window and code execution abilities for deep dives into distributed system debugging, long-trace analysis, and performance modeling. The server implements an intelligent routing strategy, treating LLMs as heterogeneous microservices to route tasks to the most capable model for a given sub-task, including novel AI-to-AI conversational analysis.

Características Principales

• Supports analysis of very large codebases and complex log/trace dumps
• Identifies performance bottlenecks and conducts hypothesis testing
• Leverages Google's Gemini 2.5 Pro Preview with 1M token context window
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• Enables AI-to-AI conversational analysis between Claude and Gemini
• Performs deep execution flow tracing and cross-system impact analysis

Casos de Uso

• Analyzing distributed system failures by correlating vast log and trace data across multiple services.
• Systematically validating code behavior theories through hypothesis-driven debugging with synthetic data.
• Pinpointing the root cause of performance regressions within complex codebases and deployments.