A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.
Enables indexing and searching Obsidian notes via MCP, using Cloudflare's serverless platform for cost-effective vector embeddings and AI-powered search.
Transforms any website's documentation into an MCP-compatible interactive knowledge base with universal scraping, advanced search, and AI-powered tools. Supports GitBook, Notion, Confluence, and custom documentation platforms with real-time synchronization.
Enables Google search queries and webpage content extraction through an MCP server deployed on Cloudflare Workers. Supports single and batch webpage content extraction with integrated OAuth authentication.