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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Zilliz Cloud with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage vector collections and perform similarity searches via Zilliz Cloud.

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 · 10 capabilities

The complete Zilliz Cloud capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Zilliz Cloud.

  1. 01

    Create collection

    Requires a JSON body. Create a new vector collection

  2. 02

    Describe collection

    Get details for a specific collection

  3. 03

    Drop collection

    Drop a collection

  4. 04

    Insert entities

    Insert data into a collection

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Zilliz Cloud.

  1. 05

    List collections

    List all collections in the Zilliz cluster

  2. 06

    Query entities

    Query entities using metadata filtering

  3. 07

    Release collection

    Release a collection from memory

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Zilliz Cloud.

  1. 08

    Delete entities

    Delete entities from a collection

  2. 09

    Load collection

    Load a collection into memory

  3. 10

    Search vectors

    Requires a JSON search configuration. Perform a vector similarity search

Observed, not estimated

885ms average. Fast in production.

Zilliz Cloud is checked daily against the live service.

Daily averagePeak 1029ms
Aug 20Today
Fastest day
759ms
Slowest day
1029ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 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 Zilliz Cloud, so you can see the experience inside your AI.

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

Zilliz Cloud Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_RKv8SXkDaOvT7RS1nwfoO7ZP8GbUdouO1cKQtzMb/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 — Zilliz Cloud capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "zilliz-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RKv8SXkDaOvT7RS1nwfoO7ZP8GbUdouO1cKQtzMb/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 Zilliz Cloud owners ask.

  • 01

    How do I find my Cluster Endpoint?

    You can find your Cluster Endpoint in the Zilliz Cloud Console under the 'Cluster Details' page. It typically looks like https://in01-xxxxxxxxxxxx.vectordb.zillizcloud.com.

  • 02

    Why do I need to 'load' a collection before searching?

    Zilliz requires collections to be loaded into memory to perform high-performance similarity searches. Use the load_collection capability to make your data available for search.

  • 03

    Can I filter my vector search using metadata?

    Yes, Zilliz supports hybrid search. You can use the query_entities capability for metadata-only filtering or include filtering expressions in your search_vectors JSON configuration.

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