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
code-to-tree converts source code into an abstract syntax tree and returns it to the model, with two stated goals: accuracy regardless of language, and a single standalone binary being everything the MCP client needs. Parsing uses tree-sitter, which provides real grammars for C, C++, Rust, Ruby, Go, Java and Python, so the tree reflects the language's actual syntax rather than a heuristic guess at structure. The zero-dependency goal is met by writing the server in C on the mcpc library and statically linking, so there is no Node, Python or other runtime to install — an unusual and genuinely useful property for a tool meant to be dropped into a client configuration on an arbitrary machine. Why a model wants an AST: reasoning about code as text loses structure, and questions about nesting, scope, which arguments a call actually passes, or where a block ends are answered exactly by a parse tree and only approximately by pattern matching. The repository includes screenshots of whole-AST output and of the tool in conversation, with build instructions for Windows and macOS. The audience is developers building code-analysis agents and anyone wanting reliable structural parsing without adding a language runtime to the environment.
https://github.com/micl2e2/code-to-tree
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Context7 MCP Server is an MCP server that delivers up-to-date, version-specific code documentation and examples to enhance LLMs and AI code editors, ensuring accurate and current code generation.
High-performance Model Context Protocol (MCP) server that indexes codebases into a persistent knowledge graph for AI coding agents, supporting 158 languages, lightning-fast queries, and various dev...
GitHub MCP Server is an official Model Context Protocol server that integrates with GitHub APIs to enable advanced automation and AI-powered interactions with GitHub repositories and workflows.
Code-review-graph is a local-first code intelligence solution that builds a persistent structural map of your codebase to provide precise context to AI coding tools, significantly reducing token us...
Serena is a free and open-source coding agent toolkit that uses the Model Context Protocol to enable LLMs to autonomously perform semantic code retrieval and editing with IDE-like precision on complex codebases.
Claude Task Master is an AI-powered task management system designed for AI-driven development that integrates seamlessly with various editors via the Model Control Protocol (MCP).
Context Mode is an MCP server designed to optimize context window usage for AI coding agents by sandboxing tool output, tracking session continuity with SQLite, and promoting LLMs as code generator...