Bring Rag
to VS Code Copilot

Connect your LlamaCloud account to any AI agent and take full control of your enterprise RAG infrastructure and AI-powered document parsing through natural conversation.

What you can do

• Pipeline Orchestration — List all deployed data pipelines and retrieve detailed configurations including connected sources and index settings directly from your agent
• AI Document Parsing — Dispatch complex files (PDFs, docs) to LlamaParse to convert intricate layouts, tables, and handwriting into structured Markdown context
• Job Monitoring — Track the status of ongoing parsing jobs and retrieve extraction results once processing is complete to power your AI workflows
• Project Management — Navigate high-level LlamaCloud projects managing collections of pipelines and queryable indices securely
• Unstructured Data Ingestion — Monitor the flow of raw data into your managed indices and verify processing states for high-quality LLM grounding
• Diagnostic Audit — Fetch final parsed outputs and job traces to ensure data integrity and layout accuracy across your RAG pipeline

How it works

1. Subscribe to this server
2. Enter your LlamaCloud API Key
3. Start managing your RAG infrastructure from Claude, Cursor, or any MCP-compatible client

Who is this for?

• RAG Developers — automate the ingestion of complex enterprise documents and monitor pipeline health through natural conversation
• AI Engineers — verify document parsing quality and orchestrate large-scale data extraction jobs without manual Python scripts
• Data Scientists — audit managed indices and track parsing statuses to ensure high-quality fact-grounding for AI agents