search-webdeveloper-tools

GitHub Repo Extractor

kazuph

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.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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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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