FAQai

Lets an assistant turn documents into a production-ready RAG dataset through the FAQai API.

What you can do

FAQai is a local MCP server that connects an assistant to the FAQai service for building RAG datasets from documents. The registry description says it can turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host. The manifest does not list individual tools, so the exact operations are not documented here.

When to use it

Consider it when you already use FAQai and want to prepare RAG datasets from documents without leaving your MCP host. It is a desktop-only local process, so it suits Claude Desktop or Cursor-style setups rather than browser-based hosts.

Requirements

Runs locally over stdio, typically via the npm package @faqai/mcp-server, so Node.js is needed. Requires a FAQai API key in the FAQAI_API_KEY environment variable, and the key requires a paid plan. An optional FAQAI_BASE_URL variable can override the default API base URL. Network access to the FAQai API is required.