Geeknews
The GeekNews MCP Server is a Python-based tool for scraping articles and weekly news from the GeekNews website and providing caching functionality to reduce server load.
rating : 2.5 points
downloads : 4.4K
What is the GeekNews MCP Server?
The GeekNews MCP Server is a tool that can fetch article and weekly news data from the GeekNews platform. It reduces the pressure on the original website through a caching mechanism and provides stable data access.How to use the GeekNews MCP Server?
Users can obtain article or weekly news information through simple command-line operations. The server will automatically cache data and update it when necessary.Applicable Scenarios
Suitable for developers who need to access GeekNews content frequently or news aggregation applications.Main Features
Fetch Articles
Supports fetching articles by type (e.g., top, latest) and quantity, returning information such as title, URL, rating, author, time, and number of comments.
Fetch Weekly News
Supports fetching detailed content by ID or the latest weekly news, including the article list and related information.
Cache Management
Automatically caches data and reuses it within a certain period, reducing the frequency of requests to the original website.
Advantages
Reduce the pressure on the GeekNews server
Improve data fetching speed
Easy to integrate into existing systems
Limitations
Depends on the HTML structure of the original website
Long periods without updates may cause cache invalidation
How to Use
Installation and Deployment
Clone the project repository and set up the development environment using the uv tool.
Start the Server
Run the server script to start listening for requests.
Usage Examples
Fetch Top Articles
Example scenario: Fetch the current top 10 most popular articles from GeekNews.
Fetch the Latest Weekly News
Example scenario: Automatically fetch the latest published GeekNews weekly news.
Frequently Asked Questions
Is the server always online?
How to ensure the data is up-to-date?
Related Resources
GitHub Repository
Project source code address
Smithery Official Documentation
Learn how to integrate this service on the Smithery platform

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.1K
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.2K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
47.1K
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.2K
5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.7K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
46.1K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.3K
4.5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
66.5K
4.7 points

