GitHub Trending MCP

A Model Context Protocol (MCP) server that provides access to GitHub Trending repositories. It allows AI assistants to fetch and analyze trending repositories with language filters.

Features

• 🔥 Fetch Trending Repositories - Get the latest trending repos from GitHub
• 📝 Built-in Prompts - Includes analysis prompts for comprehensive insights
• 🌐 Multi-Language Support - Query multiple languages in one request for better efficiency (supports 600+ languages)
• 📊 Detailed Data - Returns stars, forks, contributors, and AI generated descriptions
• 📈 Daily Tracking - Use daily to track and analyze technology trends over time

Installation

npm install -g github-trending-mcp

Update

To update to the latest version:

npm update -g github-trending-mcp

Configuration

VS Code with Copilot

1. run command: MCP: Add Serve
2. type: select stdio
3. command: input github-trending-mcp
4. server id: github-trending

Proxy Configuration

⚠️ Troubleshooting: If fetching repositories fails and you are using network proxy.

1. option 1: please check that your HTTPS_PROXY or HTTP_PROXY environment variables are correctly set.
2. option 2: add --proxy after command in mcp server config, like

"args": [
  "--proxy=http://127.0.0.1:7890"
]

Available Resources

github-trending://languages

Returns a list of all supported programming languages for filtering, including:

• Popular languages list
• Complete languages list (600+ languages)

Available Prompts (⭐ Recommended)

💎 Core Value: The built-in MCP prompts are the most valuable feature of this plugin. They provide structured, comprehensive analysis that goes far beyond simple data fetching.

analyze_github_trending

A pre-built prompt for comprehensive analysis of trending repositories. This prompt orchestrates the entire workflow - fetching data, analyzing patterns, and generating actionable insights.

Arguments:

Output includes:

1. Overview table with rankings, stars, and descriptions
2. Detailed analysis of top 10 repositories.(you can change the generated prompt)
3. Trend summary with common themes and recommendations

analyze_repository

A comprehensive prompt for deep-diving into a specific GitHub repository. Perfect for understanding a project before adopting it or contributing to it.

Arguments:

Analysis includes:

1. 📦 Overview - Stars, forks, language, license, activity
2. 🔍 Core Purpose - What it does and who it's for
3. ✨ Key Features - Main capabilities and functionalities
4. 💼 Real-World Use Cases - Concrete business scenarios
5. 🏗️ Architecture - Tech stack, components, design patterns
6. 📊 Community & Adoption - User base, activity level, notable users
7. 🗣️ User Feedback - Common issues, feature requests, sentiment
8. 💪 Strengths & Considerations - Pros and things to be aware of
9. 🚀 Getting Started - Quick start guide

How to Use the Prompt

In VS Code with Copilot:

1. Open Copilot Chat
2. Type / to see available prompts
3. Select analyze_github_trending
4. Enter the language(s) you want to analyze

📈 Daily Tracking Strategy

Why use daily?

• 🔍 Spot emerging technologies - New frameworks often appear in trending before going mainstream
• 📊 Track project momentum - See which projects are gaining or losing traction
• 🎯 Identify patterns - Discover common themes across different languages
• 💡 Learning opportunities - Find high-quality codebases to study

Recommended workflow:

1. Run the prompt every morning for your primary languages
2. Note any new entries or significant star increases
3. Over time, you'll develop intuition for technology trends

💡 Pro Tip: Combine multiple languages (e.g., "ts, py, rs") in one analysis to compare trends across ecosystems and identify cross-language patterns.

Development

Setup

# Clone the repository
git clone https://github.com/mainhanu/github-trendings-mcp.git
cd github-trendings-mcp

# Install dependencies
npm install

Scripts

# Run in development mode
npm run dev

# Build for production
npm run build

# Run tests
npm test

How It Works

This MCP server scrapes the GitHub Trending page to extract repository information including:

• Repository name and description
• Star count and fork count
• Stars added today
• Programming language
• Top contributors

The data is parsed using Cheerio and returned in a structured JSON format that AI assistants can easily process and present.

License

MIT