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381,328 tools. Last updated 2026-08-03 01:55

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

  • Inspects a file to reveal its functions, classes, imports, and relationships with other files for codebase understanding.
    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
  • Provides a ranked, token-capped briefing of the most relevant codebase context to prime understanding at session start, avoiding context window overload.
    MIT
  • Retrieve a structured codebase architecture summary with layer constraints and violation checks for design boundary understanding.
  • Create an empty Network Sketcher master file (.nsm) in the working directory. Optionally specify a filename starting with '[MASTER]' and ending with '.nsm'.
    Apache 2.0

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  • Saves a plain-English codebase summary as a permanent passport after initial raw metadata retrieval. Prevents overwriting existing passports unless explicitly requested.
    MIT
  • Obtain a compact structural overview of an unfamiliar codebase at session start without reading files. Returns a plain-English summary or raw metadata.
    MIT
  • Check your codebase for coding conventions to ensure new code matches existing patterns and style.
    MIT
  • Scans a codebase to identify SDKs, scripts, and patterns requiring legal disclosure and maps them to policy generation fields. Call before generating or updating policies to base them on actual code.
    MIT
  • Retrieve methods, properties, inheritance chain, and usages of any class to understand its interface and codebase integration.
    MIT
  • Analyze a codebase with tree-sitter AST to generate a structured context payload for tasks like code review, refactoring, and planning.
    MIT
  • Generate a structured directory tree with file contents in YAML or Markdown, providing LLM-optimized codebase context for analysis.
    Apache 2.0
  • Search multiple codebases in parallel using natural language. Returns results grouped per codebase or a single globally-ranked list across all repositories.
    Apache 2.0
  • Analyze any codebase from a GitHub URL or pasted code to generate UML class, sequence, and state diagrams with architectural insights.
    MIT