{"repo":"evalops/deep-code-reasoning-mcp","free":true,"listed":false,"github":"https://github.com/evalops/deep-code-reasoning-mcp","clone":"git clone https://github.com/evalops/deep-code-reasoning-mcp.git","description":"A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI","language":"TypeScript","stars":107,"topics":["ai","ai-tools","claude","code-analysis","code-intelligence","code-reasoning","debugging","developer-tools","distributed-systems","gemini"],"license":"MIT","category":"dev-tools","readme_excerpt":"Deep Code Reasoning MCP Server An MCP server that pairs Claude Code with Google's Gemini AI for complementary code analysis. This server enables a multi-model workflow where Claude Code handles tight terminal integration and multi-file refactoring, while Gemini leverages its massive context window (1M tokens) and code execution capabilities for distributed system debugging and long-trace analysis. Core Value Both Claude and Gemini can handle deep semantic reasoning and distributed system bugs. This server enables an intelligent routing strategy where: - Claude Code excels at local-context operations, incremental patches, and CLI-native workflows - Gemini 2.5 Pro shines with huge-context sweeps, synthetic test execution, and analyzing failures that span logs + traces + code The \"escalation\" model treats LLMs like heterogeneous microservices - route to the one that's most capable for each sub-task. Features - Gemini 2.5 Pro Preview : Uses Google's latest Gemini 2.5 Pro Preview (05-06) model with 1M token context window - Conversational Analysis : NEW! AI-to-AI dialogues between Claude and Gemini for iterative problem-solving - Execution Flow Tracing : Understands data flow and state transformations, not just function calls - Cross-System Impact Analysis : Models how changes propagate across service boundaries - Performance Modeling : Identifies N+1 patterns, memory leaks, and algorithmic bottlenecks - Hypothesis Testing : Tests theories about code behavior with evidence-based v","default_branch":null,"files":null,"tree":[],"storefront":"/r/evalops","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/evalops/deep-code-reasoning-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}