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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Marqo AI with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage semantic search via Marqo. execute tensor queries, index JSON documents, and audit vector indices.

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 Marqo AI capability set.

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

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Marqo AI.

  1. 01

    Get index stats

    Get configuration and stats for an index

  2. 02

    Create index

    Create an explicitly bounded new vector index

  3. 03

    Delete documents

    Delete specific documents from Marqo by targeting their IDs

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Marqo AI.

  1. 04

    Add documents

    Write new documents into Marqo

  2. 05

    List indexes

    Crucial before writing queries hitting arbitrary collections. List all Marqo vector indexes

  3. 06

    Tensor search

    Perform natural language tensor search on Marqo

Observed, not estimated

835ms average. Fast in production.

Marqo AI is checked daily against the live service.

Daily averagePeak 1063ms
Aug 20Today
Fastest day
690ms
Slowest day
1063ms
14-day trend
Slowing+14%

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

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

Marqo AI Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_yWwQAD75WfnpbXY72FMh8SBRNTeZWrryXTJG2Ifa/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 — Marqo AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "marqo-ai-vector-search-embeddings-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_yWwQAD75WfnpbXY72FMh8SBRNTeZWrryXTJG2Ifa/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 Marqo AI owners ask.

  • 01

    Does Marqo handle the vector embeddings for me through the agent?

    Yes. Marqo is an end-to-end engine. When you use the tensor_search capability, you provide natural language and Marqo handles the model inference and vector extraction under the hood, returning semantically relevant results immediately.

  • 02

    Can I add new data to a vector index through a conversation?

    Absolutely. Use the add_documents capability by providing a JSON array of your documents. Your agent will synchronize these records into the target index, and they will be searchable via semantic query instantly.

  • 03

    How do I check the stats of my vector index?

    The get_index_stats capability retrieves critical metrics for a specific index. Your agent will report the document count, memory usage, and configuration details, helping you monitor the health of your vector store.

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