Empowers AI agents with semantic C# code understanding, enabling precise diagnostics and safe refactoring without full project rebuilds.
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This Model Context Protocol (MCP) server provides AI agents with a deep, compiler-level understanding of C# code by leveraging Roslyn. Unlike basic file-reading servers, it allows AI to perform semantic code analysis, obtain precise diagnostics without a full rebuild, find symbol references, and execute safe semantic refactoring operations, significantly reducing Large Language Model (LLM) hallucinations. It is designed for AI-driven C# development, focusing on parsing projects, performing context-aware file operations, integrating with the .NET CLI for build/test, and optimizing responses for LLM context windows.
주요 기능
01Optimized, compact responses for LLM context windows
020 GitHub stars
03Precise compiler diagnostics for individual files
04Integrated .NET CLI commands (build, test, format, custom)
05Safe and context-aware refactoring capabilities
06Semantic C# code analysis via Roslyn
사용 사례
01Reducing LLM hallucinations in code generation and modification
02AI-driven C# development with enhanced code understanding
03Automated and semantic refactoring of C# projects