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FAQai

Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.

RUN IN TERMINAL
claude mcp add appfaqai-mcp-server -- npx -y @faqai/mcp-server
ADD TO claude_desktop_config.json
{ "mcpServers": { "appfaqai-mcp-server": { "command": "npx", "args": ["-y", "@faqai/mcp-server"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "appfaqai-mcp-server": { "command": "npx", "args": ["-y", "@faqai/mcp-server"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "appfaqai-mcp-server": { "command": "npx", "args": ["-y", "@faqai/mcp-server"] } } }

About This MCP Server

Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the stdio transport.

Package

@faqai/mcp-server on npm

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.

What tools does it provide?

The FAQai server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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