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Turn codebases into structural graphs for efficient AI-assisted code exploration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "graphify-mcp" yet — see the docs or source repo.
Use Graphify to analyze this project's code structure. Identify the core modules, major dependencies, and the call path from request entry points to business logic, then present them in a clear hierarchy.
A structured overview of the project, including module boundaries, dependencies, and key call-chain explanations.
Using Graphify, find the code nodes related to user login and permission checks. List the involved files, functions, their relationships, and the most likely entry points that need modification.
A graph-based path of the relevant code plus actionable suggestions on where to make changes.
I plan to refactor this service-layer module. Use Graphify to analyze its upstream callers, downstream dependencies, cross-module coupling points, and the likely affected tests or interfaces.
An impact analysis for the refactor, highlighting risk areas and validation priorities.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Index a monorepo into a graph for fast code structure queries.
Index codebases into a searchable graph for structure, calls, and routes.
Query code structure and cross-language relationships via MCP with auditable access logs.
Build and query a codebase knowledge graph with relationships and rationale.
Provide persistent graph memory, semantic search, and traversal for AI agents.