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GitHub Repo Extractor

by kazuph

Connect to GitHub repos and query code, dependencies, and history using GitHub API and webhooks for actionable insights.

Connects to GitHub repositories, enabling natural language queries about code structure, dependencies, and development history.

github stars

6

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

No GitHub API key requiredWorks with any public repositoryFlexible filtering options

best for

  • / Developers analyzing unfamiliar codebases
  • / Code reviews and architectural analysis
  • / Learning from open source projects

capabilities

  • / Retrieve entire repository codebases as single files
  • / Filter code by specific directories or file extensions
  • / Extract individual files from repositories
  • / Show repository structure and README files
  • / Access specific branches beyond main/master

what it does

Extracts code from GitHub repositories and makes it available for analysis through natural language queries in Claude.

about

GitHub Repo Extractor is a community-built MCP server published by kazuph that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to GitHub repos and query code, dependencies, and history using GitHub API and webhooks for actionable insights. It is categorized under search web, developer tools. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.

how to install

You can install GitHub Repo Extractor in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

GitHub Repo Extractor is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

GitHub MCP Server for Pera1

A Model Context Protocol server that connects GitHub code to Claude.ai. This server utilizes the Pera1 service to extract code from GitHub repositories and provide better context to Claude.

<a href="https://glama.ai/mcp/servers/m2sd6ew3wf"><img width="380" height="200" src="https://glama.ai/mcp/servers/m2sd6ew3wf/badge" alt="@kazuph/mcp-github-pera1 MCP server" /></a>

Setup

Add the following to your MCP config file (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@kazuph/mcp-github-pera1"]
    }
  }
}

Now you can ask Claude about GitHub code repositories.

Parameters

  • url: GitHub repository URL (required)
  • dir: Filter files by directory paths (comma-separated)
  • ext: Filter files by extensions (comma-separated)
  • mode: Display mode (e.g., tree shows directory structure and README files only)
  • branch: Specify the branch to fetch from
  • file: Specify a single file to retrieve

Usage Examples

You can ask Claude questions like:

Tell me about the implementation of GitHub repository https://github.com/username/repository

For specific directories:

Explain the components in https://github.com/username/repository?dir=src/components

For a specific file:

Show me the Button component from https://github.com/username/repository?file=src/components/Button.tsx

For directory structure with README files only:

Show me the structure of https://github.com/username/repository?mode=tree

For a specific branch:

Analyze the develop branch of https://github.com/username/repository?branch=develop

License

MIT

Author

kazuph (https://x.com/kazuph)

FAQ

What is the GitHub Repo Extractor MCP server?
GitHub Repo Extractor is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for GitHub Repo Extractor?
This profile displays 66 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Discussion

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Ratings

4.666 reviews
  • Omar Chawla· Dec 28, 2024

    GitHub Repo Extractor has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Layla Iyer· Dec 20, 2024

    Strong directory entry: GitHub Repo Extractor surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Pratham Ware· Dec 8, 2024

    We evaluated GitHub Repo Extractor against two servers with overlapping tools; this profile had the clearer scope statement.

  • Yusuf Chawla· Dec 4, 2024

    Useful MCP listing: GitHub Repo Extractor is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Layla Bansal· Nov 23, 2024

    Strong directory entry: GitHub Repo Extractor surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Liam Garcia· Nov 19, 2024

    GitHub Repo Extractor is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Aditi Sanchez· Nov 11, 2024

    Useful MCP listing: GitHub Repo Extractor is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Layla Gill· Oct 14, 2024

    I recommend GitHub Repo Extractor for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Kofi Wang· Oct 10, 2024

    We wired GitHub Repo Extractor into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Isabella White· Oct 2, 2024

    GitHub Repo Extractor reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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