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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LlamaIndex with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Query and manage RAG pipelines via LlamaIndex. execute natural language searches, audit indexed files, and monitor data pipelines.

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 LlamaIndex capability set.

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

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through LlamaIndex.

  1. 01

    List files

    List raw source files currently ingested by a pipeline

  2. 02

    Get pipeline

    Get configuration details for a specific pipeline

  3. 03

    List indexes

    List LlamaCloud active indexes

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through LlamaIndex.

  1. 04

    List projects

    List active LlamaCloud projects

  2. 05

    Query pipeline

    Execute a natural language query against a specific Pipeline

  3. 06

    List pipelines

    List LlamaCloud deployed data pipelines

Observed, not estimated

807ms average. Fast in production.

LlamaIndex is checked daily against the live service.

Daily averagePeak 928ms
Aug 24Today
Fastest day
696ms
Slowest day
928ms
14-day trend
Slowing+33%

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 LlamaIndex, so you can see the experience inside your AI.

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

LlamaIndex Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_0oOSMctRD8JekU5V9qPIM95pb3koS0z8x0sprJvK/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 — LlamaIndex capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "llamaindex-ai-data-framework-rag-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_0oOSMctRD8JekU5V9qPIM95pb3koS0z8x0sprJvK/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 LlamaIndex owners ask.

  • 01

    Can I query my indexed documents using natural language through my agent?

    Yes. Use the query_pipeline capability by providing the Pipeline ID and your natural language question. Your agent will trigger a real-time RAG extraction and return a synthesized answer based on the relevant source documents found in the index.

  • 02

    How do I check which files have been successfully ingested into a pipeline?

    The list_files capability allows your agent to retrieve explicit metadata for all physical documents attached to a pipeline. This is perfect for auditing your data source boundaries and ensuring all required documents are correctly indexed.

  • 03

    Can my agent manage multiple semantic indices?

    Absolutely. Use the list_indexes capability to see all active semantic stores managed by LlamaCloud. Your agent will report the index names and types, making it easy to identify the correct target for your search or ingestion workflows.

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