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520,054 tools. Updated 2026-09-06 08:43

"MCP server for codebase discovery and structure generation" matching MCP tools:

  • Analyze website structure by mapping URLs to discover content organization, navigation paths, and site architecture for audits and content discovery.
    MIT
  • Locate code by natural language meaning, combining semantic vector search with graph analysis to surface relevant files, signatures, and dependencies for initial codebase discovery.
    MIT
  • Get step-by-step instructions to install the Rosetta MCP server locally with PyRosetta support for scoring, structure optimization, and running RosettaScripts.
    MIT
  • Describe the Agent402 MCP server: flagship tools, install one-liners, free vs paid plans, and discovery URLs. Call this first to understand what's available before using other tools.
    AGPL 3.0

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  • Extrait des champs structures (texte, nombre, date) depuis un texte libre.

  • B2B and local lead gen: verified emails, site contacts, Maps and Yellow Pages leads.

  • Generate a 500-token codebase summary for system prompts when MCP access is unavailable, integrating Sverklo intelligence into Cursor, Codex, or CI bots.
    MIT
  • Get guidance on writing effective prompts for Grok Imagine video generation. Learn prompt structure, examples, and tips to improve results.
    MIT
  • Retrieve step-by-step guides for Paper workflows: MCP server setup, mobile status bar markup, Figma import, and AI image generation.
    MIT
  • Extract method signatures and types from multiple code files simultaneously using glob patterns or file lists to explore codebase structure efficiently.
    MIT
  • Register an external MCP server (Docker, local command, or SSE) to the hub for tool discovery and execution in security workflows.
    -
  • Retrieve the stored project structure map for a given directory to navigate the codebase without scanning the filesystem.
    MIT
  • Explore available resources, tools, and capabilities within the Axom MCP Server to support AI agents with environment discovery and tool chaining.
    MIT
  • Understand a codebase before making changes by reading its folder structure and file contents. Returns a directory tree and optionally file contents for specified files.
    Apache 2.0
  • Format lyrics for Suno AI music generation with section markers to ensure correct song structure and suitable melodies for each part. Includes examples and tips.
    MIT
  • Provides best-practice guidance for users and AI agents using this MCP server, focusing on safe codebase access, file discovery, and memory.
    MIT
  • Update the project structure map after file changes to maintain an accurate directory tree, enabling fast codebase navigation without filesystem scans.
    MIT
  • Discover all MCP discovery paths and identify existing config files for inventory.
    Apache 2.0