URL Text Fetcher
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Provides URL text fetching, web scraping, and web search capabilities for AI models via the Model Context Protocol.
About
This modern Model Context Protocol (MCP) server integrates web content retrieval and Brave Search capabilities, enabling AI models to interact with web data. Built on the FastMCP framework, it offers clean tool definitions, automatic schema generation, and robust security features like SSRF protection and input sanitization, making it suitable for secure and efficient web interaction within AI applications. It's designed for use with LM Studio and other MCP-compatible clients.
Key Features
- Fetch all visible text content from any URL
- Extract all href links from web pages
- Search the web using Brave Search and automatically fetch content from top results
- Enterprise-grade security features including SSRF protection, input sanitization, and memory protection
- Configurable, thread-safe API rate limiting for Brave Search
- 0 GitHub stars
Use Cases
- Enable AI models to fetch and analyze text content from specific URLs
- Allow AI to discover related resources by extracting links from web pages
- Empower AI to perform web searches and retrieve full article content for summarization or analysis
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