Fetch News MCP
F

Fetch News MCP

This is an MCP server project configured based on Python. The fetch-news service is installed from a GitHub repository using the uvx tool for news content retrieval, and an OpenAI API key needs to be set.
2 points
5.1K

What is the Fetch News MCP Server?

The Fetch News MCP Server is a dedicated tool for news retrieval. It integrates with AI assistants via the Model Context Protocol (MCP), enabling AI to help you search, filter, and obtain the latest news. You can directly ask the AI assistant to find news on specific topics, sources, or regions through natural language conversations, eliminating the need to manually browse multiple news websites.

How to use the Fetch News MCP Server?

Using the Fetch News MCP Server is very simple: First, add the server configuration to your MCP client's configuration file. Then, start your AI assistant (such as Claude Desktop), and you can obtain news through natural language conversations. For example, you can ask, 'What are the important news in the technology field today?' or 'Help me find the latest reports on artificial intelligence.'

Use Cases

The Fetch News MCP Server is suitable for various scenarios: 1) Researchers need to track the latest developments in specific fields; 2) Investors need to stay informed about market news and industry trends; 3) Content creators are looking for news materials and inspiration; 4) General users want to quickly learn about the important news of the day; 5) Enterprises need to monitor brand mentions and industry dynamics.

Main Features

Multi-source News Aggregation
Supports fetching content from multiple news sources, including mainstream media, professional journals, and news aggregation platforms, providing comprehensive news coverage.
Intelligent Keyword Search
Through the keyword search function, quickly find news content related to your interests. It supports Boolean search and phrase matching.
Category Filtering
Filter news by categories (such as technology, finance, sports, entertainment, etc.) to quickly locate specific types of news content.
Time Range Filtering
Supports filtering news by time range, such as the last 24 hours, this week, this month, etc., ensuring you get the latest information.
Source Selection
Allows you to specify specific news sources or exclude certain sources for a personalized news retrieval experience.
Real-time Updates
Provides near-real-time news update functionality, ensuring you get the latest news reports and developments.
Advantages
Obtain news through an AI assistant in one stop without manually browsing multiple news websites
Supports natural language queries, making it simple and intuitive to use
Allows customizable search conditions for precise information retrieval
Seamlessly integrates with existing AI workflows to improve efficiency
Open-source and free, allowing self-deployment and customization
Limitations
Depends on the availability and rate limits of external news APIs
Some in-depth paid content may not be accessible
Requires basic MCP configuration knowledge
The coverage of news sources may be limited
Real-time performance is affected by the update frequency of news sources

How to Use

Install the MCP Client
First, ensure that you have installed an MCP-supported client, such as Claude Desktop. If not, download and install it from the official website.
Configure the MCP Server
Add the configuration of the Fetch News server to the configuration file of your MCP client. The configuration file is usually located at.mcp.json or a similar location in the user directory.
Get an API Key
Depending on the server requirements, you may need to configure a news API key. Please refer to the documentation of the relevant news service provider to obtain the API key.
Restart the Client
After saving the configuration file, restart the MCP client for the configuration to take effect.
Start Using
Start the AI assistant and begin obtaining news through natural language conversations. For example: 'Please help me find the important news about artificial intelligence today.'

Usage Examples

Track Industry Dynamics
As a technology industry analyst, you need to track the latest developments in the field of artificial intelligence every day. Through the Fetch News MCP Server, you can quickly obtain relevant news and stay informed about technological breakthroughs, corporate dynamics, and market trends.
Market Research
Investors need to stay informed about news related to specific industries or companies to make investment decisions. Through natural language queries, you can quickly obtain relevant financial news and market analysis.
Content Creation Materials
Content creators need news materials to write articles or produce videos. Through keyword searches, you can quickly find relevant news events and background information.
Daily News Browsing
General users want to quickly learn about the important news of the day without browsing multiple news websites. You can obtain news summaries through simple queries.

Frequently Asked Questions

Do I need to pay to use the Fetch News MCP Server?
Which news sources are supported?
How can I update news sources or add custom news sources?
How fast is the news retrieval?
Does it support multi-language news?
What should I do if I encounter an 'Invalid API Key' error?
Can it be used offline?
How can I improve the accuracy of search results?

Related Resources

GitHub Repository
The source code and latest version of the Fetch News MCP Server
Model Context Protocol Official Documentation
The official documentation and specifications of the MCP protocol
Claude Desktop
An AI assistant desktop client that supports MCP
MCP Server Development Guide
A guide on how to develop a custom MCP server
News API Service Provider
A commonly used news API service provider

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "fetch-news": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/PuWenyin/fetch-news-mcp.git",
        "fetch-news" 
      ],
      "env": {
        "OPENAI_API_KEY": "sk-xxxxxxxxx"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
8.4K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
12.5K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
11.7K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
10.6K
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.5K
4.5 points
A
Annas MCP
The MCP server and CLI tool of Anna's Archive are used to search for and download documents on the platform and support access through an API key.
Go
6.7K
4.5 points
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
15.4K
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.1K
4.3 points
N
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
17.5K
4.5 points
M
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
28.1K
5 points
G
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
18.2K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.1K
4.3 points
U
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#
22.7K
5 points
F
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
50.4K
4.5 points
G
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
18.1K
4.5 points
C
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
74.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase