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Build a persistent code cache for fast semantic lookup and lower token usage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-cache-mcp" yet — see the docs or source repo.
Search the current code cache for the PaymentService class, list its main methods, and show which files call them, grouped by file path.
Returns the class definition location, method list, caller files, and a brief call relationship summary.
Using the cache, generate the inheritance graph and key call chain for UserRepository, including parent classes, subclasses, and key entry functions.
Outputs a clear inheritance structure, call path explanation, and an overview of relationships between key symbols.
Run a semantic search in the code cache for implementations related to 'handling user permission checks and recording audit logs,' prioritizing the most relevant functions and modules.
Provides relevant code entry points, match rationale, related modules, and a suggested reading order.
Analyze code structure and Git history while drastically reducing AI token usage.
Index repositories into a persistent graph for fast code search and understanding.
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.
Search code semantically and answer questions about a codebase.