ValdをChatGPT、Claude、Geminiに接続

• 01 / 03クラスターの状態を監視する
• 02 / 03セマンティック検索の手順
• 03 / 03ベクトルを更新する方法

最速日

667ms

最遅日

1195ms

14日間の傾向

遅延傾向+41%

Vald Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_LwabvjFRxR6SLDMyq0Lg8wB1fanBWcNw0aRuqiDM/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

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.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "vald-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_LwabvjFRxR6SLDMyq0Lg8wB1fanBWcNw0aRuqiDM/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ ValdをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  機械学習エンジニア

  スクリプトを書くことなく、稼働中のValdインスタンスに対して埋め込みの変化を迅速にテストし、可視化できます。

• 02

  データサイエンティスト

  IDEから直接「top-k」セマンティッククエリを実行し、検索の再現率を検証できます。

• 03

  DevOpsエンジニア

  異常が発生した際、自然言語を用いてエンジンの稼働ステータスやクラスター情報を即座に確認できます。

• 04

  バックエンド開発者

  データベースのターミナルを介さずに、破損したベクトルの削除や古いレコードの更新を迅速に行えます。

• 01

  How do I connect my AI client to Vald?

  You subscribe to the MCP on Vinkius and enter your Vald Gateway Host address. Once connected, your client can immediately start using the available capabilities.

• 02

  Can I use this with Cursor or VS Code?

  Yes. This MCP works with any compatible client, including Cursor, Windsurf, and VS Code.

• 03

  What kind of searches can I perform?

  You can perform approximate nearest neighbor (ANN) similarity searches using query vectors provided to the agent.

• 04

  Is it possible to delete data?

  Yes, you can use the delete capability to permanently remove a vector from the index, but this action cannot be undone.

• 05

  Can I monitor my cluster health?

  Yes. You can ask your agent to retrieve operational information and health status for your Vald deployment.

• 06

  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.

• 07

  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.

• 08

  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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