Deep Code Reasoning
Provides advanced code analysis and reasoning capabilities by orchestrating Google's Gemini AI and Claude Code for complex debugging and understanding distributed systems.
About
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.
Key Features
- 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
Use Cases
- 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.
