WeaviateをChatGPT、Claude、Geminiに接続

• 01 / 03Weaviateスキーマの監査方法
• 02 / 03Weaviateの監視方法
• 03 / 03ベクトル検索の方法

最速日

682ms

最遅日

1163ms

14日間の傾向

遅延傾向+24%

Weaviate 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_ewBpKaEj3GWOCB4HdPc1Tag8b8QBrbGJDpCpFWfW/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 — Weaviate capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "weaviate-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ewBpKaEj3GWOCB4HdPc1Tag8b8QBrbGJDpCpFWfW/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？ Weaviate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

  AIデベロッパー

  セマンティック検索のクエリ検証や、ベクトルデータの取り込みテストを効率化したい方。

• 02

  データエンジニア

  データベーススキーマの監査、クラスターの健全性監視、インデックス済みオブジェクトの閲覧を行う方。

• 03

  リサーチチーム

  膨大なベクトルコレクションの中から、チャットを通じて関連ドキュメントやデータポイントを迅速に抽出したい方。

• 01

  How do I connect my Weaviate instance?

  You subscribe to the MCP on Vinkius and enter your Weaviate Base URL and API Key. Once connected, it is ready to use in your AI client.

• 02

  Which AI clients can I use with this MCP?

  You can use any MCP-compatible client, including Claude, Cursor, and Windsurf.

• 03

  Can I perform similarity searches?

  Yes. You can use the search_near_vector capability to perform nearest neighbor searches using a vector array.

• 04

  Is my data secure?

  Vinkius hosts the MCP and manages your credentials securely so your AI client can communicate with your instance.

• 05

  Can I monitor my cluster health?

  Yes. The get_cluster_nodes capability allows your agent to retrieve operational information about your Weaviate nodes.

• 06

  Can I perform a vector search using float arrays through the agent?

  Yes. The search_near_vector capability allows you to perform semantic searches by providing a query vector as a JSON array of floats. Your AI agent will return the most similar objects from your Weaviate collection.

• 07

  How do I see the data structure of my Weaviate collections?

  You can use the get_full_schema capability to see all classes and properties defined in your instance, or get_class_schema if you want to focus on a specific collection's definition.

• 08

  Is it possible to monitor cluster health via chat?

  Absolutely. Use the get_cluster_nodes capability to retrieve operational data for all nodes in your Weaviate cluster, including their current status and resource utilization metrics.

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