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Turn any codebase into a queryable knowledge graph with galaxy visualization.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "WLADY_CODE MCP" yet — see the docs or source repo.
Build a queryable knowledge graph for this codebase and render an interactive galaxy showing modules, key classes, major dependencies, and entry files, then summarize the system architecture.
An interactive code structure visualization, key node relationships, and a concise architecture summary.
Query the functions, classes, and module call chain related to user login, and map the dependency paths so I can find where to modify the code.
A login feature call path, a list of involved files, and a visual dependency graph.
Analyze the most critical modules and highly coupled areas in this project, visualize them with a knowledge graph and galaxy view, and highlight dependencies that may affect refactoring.
A ranked list of core modules, coupling hotspot insights, and visual analysis to support refactoring decisions.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Build and query a codebase knowledge graph with relationships and rationale.
Index a monorepo into a graph for fast code structure queries.
Search, read, and analyze wiki content with graph and vector tools.