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Explore massive codebases via AST with instant call graphs and dependency analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "cerberus-mcp" yet — see the docs or source repo.
Use cerberus-mcp to analyze this repository and trace the full call chain from the API entry point to the database write. List each function in order and include the file for every step.
A clear cross-file call chain showing the key path from the entry function to the persistence layer.
Use cerberus-mcp to generate a dependency analysis for the authentication module. Show which internal modules and external packages it depends on, and highlight any potential circular dependency risks.
A structured dependency report for the authentication module, including potential circular dependency warnings.
Use cerberus-mcp to quickly map this large codebase’s core directories, main service boundaries, and most important entry files so I can understand the overall structure with minimal context.
A high-level code structure overview that helps the user quickly understand the project layout and key entry points.
Analyze code structure and Git history while drastically reducing AI token usage.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Analyze, match, and transform code structures across multiple programming languages.
Retrieve GitHub code at symbol level to explore repos with far lower AI token costs.
Search and analyze GitHub repos to extract code patterns as callable tools.
Build, debug, and manage software tasks with natural language across LLMs.