FAQai runs on your own machine — the client starts it, so there is no endpoint to ping. 46 installs a week from npm.
Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.
The linked repository no longer exists on GitHub — it was deleted or made private.
Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add mcp-server -- npx -y @faqai/mcp-server
{
"mcpServers": {
"mcp-server": {
"args": [
"-y",
"@faqai/mcp-server"
],
"command": "npx"
}
}
}
[mcp_servers.mcp-server]
command = "npx"
args = ["-y", "@faqai/mcp-server"]
{
"mcpServers": {
"mcp-server": {
"args": [
"-y",
"@faqai/mcp-server"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"mcp-server": {
"args": [
"-y",
"@faqai/mcp-server"
],
"command": "npx"
}
}
}
This one needs environment variables set before it will start:
FAQAI_API_KEY (FAQai API key (requires a paid plan). Create one at https://faqai.app/settings/api-keys), FAQAI_BASE_URL (Override the FAQai API base URL (defaults to https://faqai.app). Rarely needed.).
The author declared them in the registry entry; get the values from the project itself.
Local FAISS vector database for RAG with document ingestion, semantic search, and MCP prompts.
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
Local RAG MCP for markdown documentation. Retrieval only; host synthesizes answers.
Production-ready RAG + MCP demo: eval-in-CI merge gate, Langfuse traces, structure-aware chunking.
Ingest, manage, and retrieve documents for RAG-powered AI applications
Classify documents, extract structured fields, mask PII, export JSONL/RAG datasets for AI agents.
Investment discipline MCP server with RAG, behavior detection, journaling, and market data.
Sync public web sources into cited context packs for AI agents, RAG, and MCP clients.
Answers built from our own checks of this server.