CodeMap: AI Navigation of C# Code via Call Graph

CodeMap: AI Navigation of C# Code via Call Graph

CodeMap is a Roslyn-powered MCP (Meta-Cognitive Programming) server designed to provide AI agents with efficient navigation of C# codebases. Instead of requiring agents to parse and understand entire source files, CodeMap leverages symbol information and call graphs to offer a structured, navigable representation of code. This allows AI developers to build agents that can quickly locate relevant code segments, understand dependencies, and analyze program flow without the overhead of exhaustive source code analysis.

What it Does

CodeMap acts as an intermediary between AI agents and C# code. It processes C# projects using the Roslyn compiler API to build an internal model of the code. This model includes information about classes, methods, properties, and their relationships, crucially represented as a call graph. AI agents can then query this model to retrieve specific code elements, identify callers and callees of a given method, and explore the structural dependencies within the codebase. This significantly accelerates tasks such as code understanding, refactoring, and bug detection for AI-driven development.

Key Features

• Roslyn-Powered: Utilizes the robust .NET Compiler Platform (Roslyn) for accurate C# code analysis.
• Symbol Navigation: Enables AI agents to reference and retrieve code elements by their symbolic names.
• Call Graph Representation: Provides a structured view of method invocation relationships, facilitating program flow analysis.
• MCP Server Integration: Designed to function as an MCP server, allowing seamless integration with AI agents.
• Reduced Cognitive Load for AI: Abstracts away the complexity of raw source code, enabling more focused AI operations.

Who it's For

CodeMap is an essential tool for AI developers building agents and systems that interact with C# code. This includes developers working on:

• Automated code analysis tools
• AI-assisted refactoring engines
• Code comprehension and documentation generation systems
• AI agents for software maintenance and debugging
• Any application requiring AI to understand and navigate C# codebases efficiently.