angrysky56/ast-mcp-server

By transforming source code into a queryable Semantic Graph and a structured AST, this tool bridges the gap between "reading text" and "understanding structure." For an AI assistant, it provides the "spatial" awareness needed to navigate deep dependencies without getting lost in large files.

48
/ 100
Emerging

This tool helps AI assistants like Claude Desktop better understand your code by converting it into a structured, queryable format. Instead of just seeing code as text, it provides a 'map' of the code's components and relationships, making the AI more effective at tasks like explaining complex functions or navigating large projects. It takes source code in various languages and outputs a detailed structural and semantic analysis, used primarily by developers working with AI code assistants.

Use this if you are a software developer who uses AI assistants (like Claude Desktop) and needs them to have a deeper, more accurate understanding of your codebase to provide better support for coding tasks.

Not ideal if you don't use AI code assistants or if your primary need is for a standalone code linter, formatter, or traditional static analysis tool.

AI-assisted coding software development code analysis developer tools programming
No Package No Dependents
Maintenance 10 / 25
Adoption 7 / 25
Maturity 15 / 25
Community 16 / 25

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Stars

31

Forks

7

Language

Python

License

MIT

Last pushed

Feb 06, 2026

Commits (30d)

0

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