WebSurfer
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Enables Large Language Models to securely fetch and extract readable text content from web pages.
About
WebSurfer is a robust Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with safe and efficient access to web content. It provides a standardized interface for LLMs to fetch and extract clean, readable text from any web page. The tool prioritizes security with features like secure URL validation, content type filtering, rate limiting, and configurable size and timeout limits, ensuring reliable and controlled web interaction for AI assistants.
Key Features
- Content Type Filtering for supported text-based content
- Smart Content Extraction for clean, readable text from HTML
- Built-in Rate Limiting (60 requests/minute) to prevent abuse
- 0 GitHub stars
- Secure URL Validation to block dangerous schemes and private IPs
- Configurable Content Size and Timeout Limits
Use Cases
- Developing AI applications that require controlled and robust web content access
- Providing LLMs with up-to-date information and context from the internet
- Empowering AI assistants with secure, real-time web browsing capabilities