code-graph-context and deep-code-reasoning-mcp
These are complements: one builds indexable code graphs for context injection while the other provides AI-powered reasoning over code, so they could be chained together where the graph context feeds into the reasoning engine.
About code-graph-context
andrew-hernandez-paragon/code-graph-context
A Model Context Protocol (MCP) server that builds rich code graphs to provide deep contextual understanding of TypeScript codebases to Large Language Models.
This project gives your AI coding assistant a complete, detailed understanding of your TypeScript codebase. It takes your existing TypeScript code and transforms it into a smart, interconnected map, allowing your AI to grasp how all parts of your system work together. Software developers can use this to make their AI coding assistants much more effective for complex tasks.
About deep-code-reasoning-mcp
haasonsaas/deep-code-reasoning-mcp
A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI
This project helps software developers debug complex issues by combining the strengths of Claude Code and Google's Gemini AI. It takes your codebase, logs, and traces as input and provides detailed analysis, execution flow tracing, and even AI-to-AI conversational problem-solving. It's designed for developers who are tackling hard-to-find bugs in large or distributed systems.
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