Efficiently loads, caches, and delivers project file context for AI agents using the Model Context Protocol, reducing multiple file reads to a single call with LRU caching and security validation.
Securely fetches web content, extracts links and metadata, and downloads files through a sandboxed MCP server without JavaScript execution. Includes prompt-injection detection and comprehensive HTML sanitization for safe web data retrieval.
A Model Context Protocol server that enables AI assistants to securely fetch and extract readable text content from web pages through a standardized interface.
A Model Context Protocol server that enables LLMs to fetch and process web content in multiple formats (HTML, JSON, Markdown, text) with automatic format detection.
Secure MCP server for quarantined web content extraction with two-layer prompt injection defense, enabling safe fetching of URLs and reading of files via sanitized markdown output.