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632,954 tools. Updated 2026-10-03 10:03

"Understanding and Working with a Huge Codebase" matching MCP tools:

  • Retrieve comprehensive details about a function or class: signature, parameters, callers, callees, and related domain concepts – without reading its source file. Ideal for understanding what a symbol does and its role in the codebase.
    MIT
  • Visualize the semantic topology of your codebase to identify which directories concentrate domain concepts, including entity counts and density, for a quick understanding of codebase layout before detailed analysis.
    MIT
  • Fetch the complete agent context JSON from a finished analysis, containing file index, dependency graph, architecture layers, call chains, and database schema, for saving codebase understanding.
    MIT
  • Get a ranked, token-capped briefing of key codebase context, including cluster summaries, recent decisions, and active problems, to quickly prime your understanding without flooding your context window.
    MIT

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  • Scan your codebase for SDKs, scripts, and patterns that legally require disclosure, then map each finding to policy generation fields. Use before generating policies to base them on actual code.
    MIT
  • Group codebase symbols by architectural layer, module, file, or language with counts. Use it to orient yourself in an unfamiliar codebase before diving into specifics.
    MIT
  • Regenerate codebase documentation after significant code changes. Creates missing docs or updates architecture, conventions, dependencies, and onboarding guides to match the current codebase.
    Business Source 1.1
  • List all files and directories in a specified path, with [FILE] and [DIR] prefixes to distinguish items, enabling quick understanding of directory structure.
    -
  • Semantically search a codebase to find relevant code snippets with file paths and line numbers, reducing token usage by returning top matches instead of full files.
    MIT
  • Ask a natural-language question about your codebase and get a synthesized answer with source excerpts, even when you don't know the exact filename or symbol.
    Apache 2.0
  • Delete indexed collections whose codebase directories are missing, while preserving entries with unknown or currently inaccessible paths.
    Apache 2.0
  • Compare codebase checkpoints against the current working directory or other checkpoints, retrieve file contents from any checkpoint, and search for strings across all checkpoints to locate previous code versions.
    MIT
  • Retrieve recent file system changes from watched directories to track file creations, modifications, deletions, and moves for understanding recent work.
    MIT