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Index repositories into a persistent graph for fast code search and understanding.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codebase-memory-mcp" yet — see the docs or source repo.
Using the current repository index, map the call relationships between the authentication and authorization modules. List the key files, core functions, and dependency paths.
A structured overview of the auth modules, key code locations, and summarized call chains.
Based on the indexed codebase, explain how caching is implemented in this project, including entry points, main classes or functions, and cache invalidation logic.
A concise explanation of the caching implementation with references to relevant files and functions.
Create an onboarding guide for a new developer covering the project structure, core services, main tech stack, and recommended files to read first.
An onboarding-oriented codebase guide with a recommended learning path.
Build persistent, semantically searchable memory for codebases via natural language queries.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Index a monorepo into a graph for fast code structure queries.
Index codebases into a searchable graph for structure, calls, and routes.
Search code, extract symbols, map imports, and package repository context locally.