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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Vald with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Power your agent with Vald. query, insert, and manage dense vectors on a highly scalable, distributed nearest-neighbor engine.

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 Vald capability set.

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

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Vald.

  1. 01

    Update vector

    Provide the existing ID and new vector array. Updates an existing vector in the Vald index

  2. 02

    Delete vector

    This action is irreversible. Permanently removes a vector from the Vald index

  3. 03

    Get engine info

    Retrieves operational information and health of the Vald engine

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Vald.

  1. 04

    Get vector details

    Retrieves the raw vector data for a specific ID

  2. 05

    Insert vector

    Provide a unique ID and the vector as a JSON array. Inserts a new vector into the Vald index

  3. 06

    Search vectors

    Provide a query vector as a JSON array of floats. Performs a nearest neighbor vector similarity search

Observed, not estimated

853ms average. Fast in production.

Vald is checked daily against the live service.

Daily averagePeak 1030ms
Aug 20Today
Fastest day
671ms
Slowest day
1030ms
14-day trend
Slowing+19%

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

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

Vald Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_LwabvjFRxR6SLDMyq0Lg8wB1fanBWcNw0aRuqiDM/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 — Vald capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "vald-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LwabvjFRxR6SLDMyq0Lg8wB1fanBWcNw0aRuqiDM/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 Vald owners ask.

  • 01

    Can my AI agent do a semantic search across my vector database?

    Yes! Provided you supply the embedded query vector, your agent can issue a vector search command to the Vald Engine. It will rapidly scan millions of indexes natively using its ANN algorithms and return the top-K closest neighbors associated with your data.

  • 02

    How do I ensure my Vald cluster is healthy right from my CLI?

    Skip complex diagnostics loops. Instruct your agent to get Vald internal engine info. It will interface directly via gRPC/REST and pull down cluster metrics including operational status, agent versions, and basic diagnostic health. This is vital for MLOps managing production RAG pipelines needing constant reassurance.

  • 03

    Can I permanently purge a corrupted vector embedding?

    When a document becomes stale in your knowledge base, you must remove its embedding. Ask the AI agent: permanently delete vector ID 'doc-xyz'. Using the removeVector capability, it targets your cluster and ensures the outdated semantic representation is fully expunged without risking other node data.

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