Article Analyzer MCP Server

A Model Context Protocol (MCP) server that fetches article content from URLs and provides it as context for LLM models through Cline.

Purpose

This MCP server enables LLMs to:

• Fetch and read article content from any URL
• Get cleaned and parsed article text (limited to 1000 words)
• Use article content as context for analysis and summarization

Setup with Cline

1. Clone and set up the repository:

git clone https://github.com/yourusername/article-analyzer.git
cd article-analyzer
uv venv
uv pip install -r requirements.txt

2. Configure the MCP server in your Cline settings:

Add the following configuration to your Cline MCP server settings

{
  "mcpServers": {
    "article": {
      "command": "/ABSOLUTE/PATH/TO/UV" // Path to the uv executable
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/PARENT/FOLDER/article-analyzer",
        "run",
        "main.py"
      ]
    }
  }
}

Note: Adjust the paths in the configuration to match your system.

Usage Example

Example prompt for LLM models:

{
    "text": "Analyze the article at https://www.seangoedecke.com/how-i-use-llms/ and summarize it."
}

Features

• Fast article fetching using news-please library
• Automatic text cleaning and parsing
• Integration with Cline/ClaudeDesktop for LLM context
• Support for various news and article websites

Dependencies

• Python >=3.8
• mcp[cli] - For MCP server functionality
• news-please - For article fetching and parsing
• httpx - For HTTP requests

License

[MIT License included in repository]