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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LlamaCloud with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage RAG pipelines and document parsing via LlamaCloud. orchestrate LlamaParse jobs and audit data ingestion.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 6 capabilities

The complete LlamaCloud capability set.

These are the exact actions your AI can choose when you ask it to work with LlamaCloud.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through LlamaCloud.

  1. 01

    List parsing jobs

    List LlamaParse active parsing jobs tracking document ingestion

  2. 02

    List projects

    List active LlamaCloud projects

  3. 03

    Create parsing upload

    Dispatch a file explicitly to LlamaParse

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through LlamaCloud.

  1. 04

    Get parsing result

    Retrieve the final markdown/rich-text extraction from LlamaParse

  2. 05

    Get pipeline

    Get configuration details for a specific pipeline

  3. 06

    List pipelines

    List LlamaCloud deployed data pipelines

Observed, not estimated

837ms average. Fast in production.

LlamaCloud is checked daily against the live service.

Daily averagePeak 1033ms
Aug 20Today
Fastest day
671ms
Slowest day
1033ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of LlamaCloud, so you can see the experience inside your AI.

It does not authenticate your account with LlamaCloud. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LlamaCloud Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_AxNi4f2yJsdElAAsexdJyB2PpLLyipZfGMbLBQVd/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LlamaCloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "llamacloud-managed-rag-parsing-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_AxNi4f2yJsdElAAsexdJyB2PpLLyipZfGMbLBQVd/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions LlamaCloud owners ask.

  • 01

    Can LlamaParse handle complex tables and layouts in my PDFs?

    Absolutely. LlamaParse uses AI-driven parsing to turn complex PDF layouts, nested tables, and even handwriting into structured Markdown. Use the create_parsing_upload capability to start the process and retrieve high-quality context for your agent.

  • 02

    How do I check if my RAG data pipeline is finished processing?

    Use the get_parsing_result capability with your specific Job ID. Your agent will poll the LlamaCloud API and report the current status. Once finished, it will retrieve the final parsed content ready for grounding.

  • 03

    Can I see all data sources connected to a specific pipeline?

    Yes. The get_pipeline capability extracts the full configuration for any pipeline ID, identifying all connected data sources and configured index settings, ensuring you have a complete view of your ingestion flow.

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