A Model Context Protocol (MCP) server providing 62 AI-optimized tools for .NET/C# semantic code analysis, navigation, refactoring, and code generation using Microsoft Roslyn.
Built for AI coding agents - provides compiler-accurate code understanding that AI cannot infer from reading source files alone.
A semantic map of your .NET solution for AI coding agents. Analyzes a solution with Roslyn into a queryable code graph exposing 11 read-only tools (find_symbol, impact_analysis, find_implementations, etc.) over MCP. 100% local, no telemetry, MIT licensed.
A local .NET MCP server for coding agents, providing persistent semantic indexing, typed-graph DI wiring resolution, reduced context, and compiler-backed verification for .NET projects.
Enables AI agents to locally search, query, and understand codebases with token-efficient context, dependency graphs, history, architecture diagrams, and metrics through MCP.