MCP server for getting github trending repos & developers
What is hetaoBackend mcp github trending
mcp-github-trending MCP Server
A MCP server that provides access to GitHub trending repositories and developers data through a simple API interface.
*
Features
- Access GitHub trending repositories and developers data
- Filter by programming language
- Filter by time period (daily, weekly, monthly)
- Filter by spoken language
- Returns well-formatted JSON responses
Tools
The server implements the following tools:
get_github_trending_repositories
Gets trending repositories from GitHub with the following parameters:
language
(optional): Programming language to filter repositories by (e.g. "python", "javascript")since
(optional): Time period to filter repositories by ("daily", "weekly", "monthly"). Defaults to "daily"spoken_language
(optional): Spoken language to filter repositories by
Example response:
[
{
"name": "repository-name",
"fullname": "owner/repository-name",
"url": "https://github.com/owner/repository-name",
"description": "Repository description",
"language": "Python",
"stars": 1000,
"forks": 100,
"current_period_stars": 50
}
]
get_github_trending_developers
Gets trending developers from GitHub with the following parameters:
language
(optional): Programming language to filter by (e.g. "python", "javascript")since
(optional): Time period to filter by ("daily", "weekly", "monthly"). Defaults to "daily"
Example response:
[
{
"username": "developer",
"name": "Developer Name",
"url": "https://github.com/developer",
"avatar": "https://avatars.githubusercontent.com/u/123456",
"repo": {
"name": "repository-name",
"description": "Repository description",
"url": "https://github.com/developer/repository-name"
}
}
]
Installation
Prerequisites
- Python 3.12
Install Steps
Install the package:
pip install mcp-github-trending
Claude Desktop Configuration
On MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows:
%APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-github-trending": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-github-trending",
"run",
"mcp-github-trending"
]
}
}
}
{
"mcpServers": {
"mcp-github-trending": {
"command": "uvx",
"args": [
"mcp-github-trending"
]
}
}
}
Development
Building and Publishing
- Sync dependencies and update lockfile:
uv sync
- Build package distributions:
uv build
- Publish to PyPI:
uv publish
Note: Set PyPI credentials via environment variables or command flags:
- Token:
--token
orUV_PUBLISH_TOKEN
- Username/password:
--username
/UV_PUBLISH_USERNAME
and--password
/UV_PUBLISH_PASSWORD
Debugging
For the best debugging experience, use the MCP Inspector.
Launch the MCP Inspector via npm:
npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-github-trending run mcp-github-trending
The Inspector will display a URL that you can access in your browser to begin debugging.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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