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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Elasticsearch Vector with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Empower vector search via Elasticsearch. perform dense vector kNN searches, handle index mappings, and index embedding documents directly from any AI agent.

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 Elasticsearch Vector capability set.

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

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Elasticsearch Vector.

  1. 01

    Create index

    Create dense_vector index

  2. 02

    Search

    Dense vector knn search

  3. 03

    Get index

    Get index info

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Elasticsearch Vector.

  1. 04

    Index document

    Index a document

  2. 05

    List indexes

    List all indexes

  3. 06

    Delete document

    Delete a document

Observed, not estimated

778ms average. Fast in production.

Elasticsearch Vector is checked daily against the live service.

Daily averagePeak 1026ms
Aug 24Today
Fastest day
725ms
Slowest day
1026ms
14-day trend
Slowing+11%

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 Elasticsearch Vector, so you can see the experience inside your AI.

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

Elasticsearch Vector Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_kUWPWShL0BRuDE0k7qrS1ZYbK8Cj21vwQZnEsEiQ/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 — Elasticsearch Vector capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "elasticsearch-vector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_kUWPWShL0BRuDE0k7qrS1ZYbK8Cj21vwQZnEsEiQ/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 Elasticsearch Vector owners ask.

  • 01

    Can my agent perform kNN searches using raw vector arrays?

    Yes. Use the 'search' capability. Provide the index name and a JSON array representing your query vector. The agent will perform raw K-Nearest Neighbors computations to find the most semantically similar documents.

  • 02

    How do I create a new vector index with specific dimensions via chat?

    Use the 'create_index' capability. You can specify the index name and the number of dimensions (e.g., 1536 for OpenAI embeddings). The agent will provision the strictly typed data structure in your Elasticsearch cluster.

  • 03

    Can I delete a single document from a vector index through the agent?

    Absolutely. Use the 'delete_document' capability with the index and document ID. The agent will enforce immediate document vaporization, stripping the record from the physical Lucene partitions.

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