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.
Enables AI assistants to search and read websites through a locally built keyword index, exposing read-only tools for ranked search, page fetching, browsing, site metadata, and structured data queries. Site owners can publish prebuilt indexes and expose owner-approved actions such as contact forms or order lookups as MCP tools.
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.