Web Fetch

About

Leveraging the Google Gemini API, Web Fetch acts as an intelligent Model Context Protocol (MCP) server, designed to streamline web content interaction for AI agents. It empowers agents to fetch, summarize, compare, and extract specific information from web pages, transforming complex HTML into clean, readable text and ensuring secure access to online resources. This tool allows for efficient processing of multiple URLs in a single request, making web-based data acquisition and analysis more accessible for automated workflows.

Key Features

• Provides `summarize_web`, `compare_web`, and `extract_web` tools for versatile content processing.
• Handles up to 20 URLs in a single request for efficient batch processing.
• Transforms HTML content into clean, readable text and resolves GitHub raw content URLs.
• Allows configuration of timeouts and content length limits for performance management.
• 6 GitHub stars
• Protects against Server-Side Request Forgery (SSRF) by blocking private IP requests.

Use Cases

• Comparing content and identifying differences across various web sources.
• Extracting specific data points or answers from web pages using natural language prompts.
• Summarizing key information from multiple web articles or research papers.