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
williamfzc/gossiphs
Gossiphs builds a relationship graph of the files in a source repository and exposes that graph through several interfaces, one of which is a Model Context Protocol server shipped in the mcp directory of the repository. The analysis combines tree-sitter parsing with git commit history. It first extracts the symbols each file imports and exports, then connects candidate definition and reference nodes, then refines the resulting edges using commit histories, so files that change together are treated as more strongly related. This deliberately omits the scope analysis that approaches such as stack-graphs perform, trading some precision for the ability to run on almost any repository with no per-project configuration and a low cost to add a new language. Supported languages are Rust, Python, TypeScript, JavaScript, Go, Java, Kotlin, Swift and C#, each described by query rules in src/rule.rs. Beyond the file graph, developers can query what a given file declares and then search for references to those declarations across the whole codebase, which supports impact analysis of a change. Access is available through a command line interface that can export CSV or start an HTTP service, a Python package published as gossiphs that returns a graph object suited to loading into networkx, an agent skill definition under skills, and the MCP server that lets an AI assistant query code relationships directly. The stated motivation is a code navigation index that is cheap to build, accurate enough for practical use and broadly applicable, aimed at uses such as supplying context during development in an IDE, browsing code on a website and assessing the blast radius of a change in continuous integration. It suits teams that want structural code context for agents or CI without standing up language servers or LSIF indexers.
https://github.com/williamfzc/gossiphs
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