MCP server for AST analysis and call graphs with Tree-sitter

MCP Server for AST Analysis and Call Graphs with Tree-sitter

This MCP server provides advanced capabilities for analyzing code structure, generating Abstract Syntax Trees (ASTs), and constructing call graphs. Leveraging the power of Tree-sitter, it offers a robust and efficient solution for developers seeking deep insights into their codebase. The server is designed to integrate seamlessly into development workflows, enabling automated code analysis and facilitating better understanding of program logic and dependencies.

What it Does

The primary function of this MCP server is to parse source code using Tree-sitter, a robust parser generator. This allows for the creation of accurate and detailed ASTs for a wide range of programming languages. From these ASTs, the server can then derive crucial information such as function calls, variable scopes, and control flow structures. This data is instrumental in building comprehensive call graphs, which visually represent the relationships and dependencies between different parts of a program.

Key Features

• Tree-sitter Integration: Utilizes Tree-sitter for highly accurate and language-agnostic parsing.
• AST Generation: Produces detailed Abstract Syntax Trees for in-depth code analysis.
• Call Graph Construction: Generates visual call graphs to map program execution flow and dependencies.
• Code Structure Analysis: Provides insights into the structural components of source code.
• Open-Source: Available under an open-source license, fostering community contribution and transparency.
• Developer-Focused: Designed with the needs of AI builders and software engineers in mind.

Who it's For

This tool is specifically designed for developers, AI engineers, and researchers who require sophisticated code analysis capabilities. It is particularly useful for:

• AI Model Developers: For understanding the structure of code used in AI projects, identifying dependencies, and optimizing code.
• Software Engineers: For refactoring code, identifying potential bugs, understanding legacy codebases, and improving code quality.
• Tool Builders: For creating custom static analysis tools, linters, and code visualization utilities.
• Researchers: For studying code evolution, program comprehension, and software metrics.