Graphify-Labs/graphify
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Awesome MCP › Software Development
janreges/ai-distiller
AI Distiller, invoked as aid, is a command line tool that compresses a source tree into the minimum context an AI coding assistant needs, and it ships a Model Context Protocol server published on npm as @janreges/ai-distiller-mcp so the same capability can be called from Claude Code, Claude Desktop, VS Code, Cursor, Windsurf and other MCP compatible tools. Distillation parses a project and keeps only the public interface, meaning declarations, signatures, input and output types and documentation strings, while discarding method bodies, comments and non-public members by default. The README reports the result is typically 5 to 20 percent of the original source volume, small enough to fit into a model context window so the model uses existing interfaces instead of guessing them from keyword searches. Granular flags control what survives: --public, --protected, --internal and --private for visibility, plus --comments, --docstrings, --implementation and --imports for content. More than twelve programming languages are supported, and output can be emitted as compact text, Markdown, structured JSON, JSONL or XML. A separate --ai-action mode does not perform analysis itself; it generates prompt files under the .aid directory that pair distilled code with instructions an agent then executes, including multi-step flows for file-by-file analysis and documentation generation. A git history mode prepares commit data for analysis of development quality and team dynamics. The tool is distributed as a single dependency-free binary for Windows, Linux and macOS on x64 and ARM, uses about 80 percent of available CPU cores by default with a --workers override, and honours a .aidignore file. The README describes the project as a very first version and invites feedback through GitHub issues. It targets developers on large codebases where limited context leads assistants to produce code incompatible with the existing architecture.
https://github.com/janreges/ai-distiller
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