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213,357 tools. Last updated 2026-06-19 15:39

"GitHub repository operations: reading files, editing structure, and extracting data" matching MCP tools:

  • Update a Bult service configuration, including deployment source, Docker image, GitHub settings, ports, files, and environment variables.
    MIT
  • Scan git repository history to detect exposed secrets in commit messages, author information, branches, and deleted files for security auditing.
    MIT
  • Create a GitHub repository to store and organize DollhouseMCP elements with proper directory structure and documentation.
  • Perform file system operations on Windows including directory browsing, file reading, searching, and basic file management tasks.
    Apache 2.0
  • 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

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    Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.
    Last updated
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Matching MCP Connectors

  • Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.

  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Obtain a compressed overview of indexed directory structure, including language breakdown, key files, and dependencies, for initial project orientation.
    MIT
  • Fetches code from a GitHub repository URL and combines it into a single file. Filter by directory, extension, branch, or specific file to retrieve only the needed code.
    MIT
  • Retrieve specific function implementations from code files to reduce token usage by extracting only needed function definitions instead of reading entire files.
    MIT
  • Explore the file tree of a GitHub repository with recursive listing, depth control, glob filtering, and automatic exclusion of noise directories. Understand project layout before reading files.
    MIT
  • Insert or replace text at specific line ranges in files for precise code editing without context-heavy operations.
  • Inspect a simulation file to return metadata: bounds, point/cell arrays with ranges, timestep info, and multiblock structure. Use this first to understand data before rendering or extracting.
    MIT
  • Preview GitHub repository skill files before installation by reading SKILL.md content to understand functionality and requirements.
    MIT
  • Retrieve class definitions and specific methods without reading entire files to reduce token usage by 80%+ in code navigation.
    MIT
  • Analyze project layout by retrieving directory structure and file types without reading file contents. Use to understand repository organization and navigate codebases efficiently.
    MIT
  • List sheet names and their used dimensions in a WorkPaper to preview structure before reading or editing.
    MIT
  • Extract page content as DOM, accessibility tree, CSS diagnostics, semantic summary, or clean Markdown. Use for reading structure, verifying content, or extracting articles.
    MIT
  • Browse repository contents without cloning by listing files and directories in a specified path. View structure, types, and sizes for repositories in Bitbucket.
    MIT