Crawl and extract content from all accessible subpages of a website with configurable depth limits. Ideal for comprehensive site analysis, content indexing, and efficient data collection from entire domains.
Generate AI-powered responses by combining real-time web search with advanced language models, ideal for complex queries requiring reasoning and synthesis across multiple sources, with contextual memory for follow-up questions.
A Model Context Protocol server that provides Retrieval-Augmented Generation capabilities using Contextual AI, enabling AI interfaces like Cursor IDE and Claude Desktop to query domain-specific knowledge with context-aware responses and source citations.
An MCP server that enables interacting with Google's Indexing API, allowing agents to submit URLs to Google for indexing or removal from search results through natural language commands.
HTTP-based server that provides semantic code search capabilities to IDEs through the Model Context Protocol, allowing efficient codebase exploration without repeated indexing.