Article Scraper Mcp
A Model Context Protocol (MCP) server that fetches article data from URLs using newspaper3k.
Overview
What is Article Scraper MCP?
Article Scraper MCP is a Model Context Protocol (MCP) server designed to fetch article data from URLs using the newspaper3k library.
How to use Article Scraper MCP?
To use Article Scraper MCP, install it from PyPI and add it to your MCP client configuration. You can then call the fetch_article API with the desired article URL.
Key features of Article Scraper MCP?
- Extracts article title, text, author, and publication date.
- Robust error handling and URL validation.
- Outputs structured data for easy integration.
- Built with FastMCP for seamless integration into existing systems.
Use cases of Article Scraper MCP?
- Fetching and parsing news articles for data analysis.
- Integrating article data into content management systems.
- Automating the collection of news articles for research purposes.
FAQ from Article Scraper MCP?
- What programming language is Article Scraper MCP built with?
Article Scraper MCP is built with Python and requires Python 3.11 or higher.
- Can I use Article Scraper MCP for any URL?
It is designed to work with news articles, but the URL must be valid and the article must be parsable.
- Is there any error handling in Article Scraper MCP?
Yes, it includes robust error handling for invalid URLs and HTTP request failures.
Server Config
{
"mcpServers": {
"article-scraper": {
"command": "uvx",
"args": [
"article-scraper-mcp"
]
}
}
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