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128,810 tools. Last updated 2026-05-06 07:34

"Tool for saving context and understanding repository structure" matching MCP tools:

  • Analyze project layout by retrieving directory structure and file types without reading file contents. Use to understand repository organization and navigate codebases efficiently.
    MIT
  • Analyze project directories to detect languages, frameworks, entry points, structure, and dependencies for comprehensive project understanding.
    ISC
  • Create structured website maps to analyze site architecture, discover content, and audit navigation paths for better understanding of web structure.
    MIT
  • Create structured website maps to analyze site structure, discover content, and audit navigation paths for better understanding of web architecture.
    MIT
  • Retrieve the aicoreutils JSON protocol specification including envelope structure, exit codes, output conventions, and command metadata. Use this tool before other commands to understand response formats and error semantics.
    MIT
  • List all tags in your Bear library as a hierarchical tree with note counts to understand your tag structure and identify tags for untagged notes.

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  • Share context and questions between Claude instances — VS Code, claude.ai web, and mobile.

  • Collect Apple Health data from your wearables through the Context app and query it via MCP

  • Get detailed issue data including labels, assignees, bounties, and linked PRs by providing owner, repository name, and issue number. Essential for understanding issue context before working on it.
    MIT
  • Retrieve the page tree of a Teamwork space, including child pages, to understand content structure and navigation.
    MIT
  • Analyze website structure by mapping URLs to discover content organization, navigation paths, and site architecture for audits and content discovery.
  • Create a GitHub repository to store and organize DollhouseMCP elements with proper directory structure and documentation.
  • Analyze Cloudflare D1 database schema structure, tables, columns, indexes, and relationships to understand database design and optionally include sample data for context.
    MIT
  • Analyze a repository to reveal project type, languages, file sizes, module dependencies, and circular import warnings. Use this to understand the codebase structure before making changes.
    AGPL 3.0
  • Retrieve the complete file structure of a GitHub repository to understand project layout, locate specific files, or obtain a full directory listing with paths, types, and sizes.
    MIT
  • Check git repository status to view current branch, uncommitted changes, and staged/modified/untracked files before committing.
    Apache 2.0
  • Analyze document structure to identify safe insertion points, locate existing tables, and retrieve statistics. Use this tool to ensure correct table placement and understand layout before making changes in Google Docs.
    MIT