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Tool connections (MCP)

Graphify

graphify-labs/graphify

Map code and document relationships to help AI find relevant context.

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Introduction

Prepared by 今日热榜 from public project documentation

For exploring larger projects and tracing relationships or change impact. It builds a graph from code or documents and provides skills plus an MCP tool interface for AI. Python and the project tools are required; MCP use needs a generated graph and extra dependencies. Semantic analysis may call a paid model service. No unverified efficiency claim is assumed here.

Get started

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Ways to use it

  • Explore code and document relationships
  • Investigate the scope of change impact
  • Let AI query an already generated graph

Official project & documentation

View source code ↗Project website ↗Setup and usage guide ↗

The project’s original description

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

More projects of this type

These other listed projects can help you compare use cases and setup requirements.

  • MarkItDown MCP — Let AI convert PDF, Word, and spreadsheet files into text it can work with.
  • REA — Reverse Engineer Anything — Let AI investigate how an application's features work and return code and runtime evidence you can check.
  • Context7 — Give AI current library documentation and examples before it writes code.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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