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Helps AI understand code architecture through real-time relationship graphs and dependencies.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Grafyx" yet — see the docs or source repo.
Use Grafyx to analyze the call chain for the order creation flow in this codebase. Identify the functions, classes, and modules involved from the API entry point to the database write, and summarize the key dependencies in execution order.
A call-chain summary for the order flow, including entry points, key functions, dependent modules, and execution order.
Use Grafyx to list the class hierarchy in the authentication module, explain the responsibilities of each base class and subclass, and identify which classes implement the same interfaces or conventions.
A structured overview of the authentication module’s class hierarchy, responsibilities, and shared interfaces or conventions.
Use Grafyx to inspect dependencies in the payment-related modules, identify possible circular dependencies, cross-layer calls, or structures that violate project conventions, and provide refactoring suggestions.
A dependency risk report with issue locations, impact explanations, and actionable refactoring suggestions.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Gives AI coding agents semantic code graphs for faster, more precise answers.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Understand multi-project codebases with knowledge graphs, search, tracing, and impact analysis.
Analyze and manage software architecture graphs for impact, dependencies, and design decisions.
Query code structure and cross-language relationships via MCP with auditable access logs.