Cortex AI
Verified IntegrationClient Configuration
— Connect Cortex AI to Claude Desktop or Cursor in seconds{
"mcpServers": {
"cortex-ai": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-cortex-ai"
],
"env": {}
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).System Overview
Engage with PDFs using an AI-powered RAG application built with LangChain LCEL, LlamaIndex, and a Crew.ai multi-agent pipeline.
7/22/2026
Open Source
stdio / SSE RPC
Frequently Asked Questions
Architecture and operational details for Cortex AI
Cortex AI ensures answer quality by strictly grounding responses in the uploaded document's content, always displaying the relevant source chunks. It also integrates MLflow for experiment tracking and RAG evaluation, measuring metrics like faithfulness and answer relevancy to continuously improve performance.
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