Couchbase Vector NosqlをChatGPTとClaudeに接続

• 01 / 02インデックスの監査方法
• 02 / 02ベクトル類似性のデバッグ方法

最速日

753ms

最遅日

1141ms

14日間の傾向

安定+4%

Couchbase 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_wWaJnEVjNwe96vxf5IajtX1h1rZH9VkCF8KWnsvT/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 — Couchbase capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "couchbase-vector-nosql-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_wWaJnEVjNwe96vxf5IajtX1h1rZH9VkCF8KWnsvT/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？ Couchbase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

  RAGアプリケーションのためのベクトル類似性検索やセマンティックマッチングのテストとデバッグを行います。

• 02

  データアーキテクト

  NoSQLのデータ構造を監査し、環境間でのコレクション構成を検証します。

• 03

  データベース管理者

  検索インデックスを監視し、N1QLクエリを実行してデータの整合性を確認します。

• 01

  Does this work with Couchbase Capella?

  Yes, this MCP connects to both Capella and self-hosted Couchbase clusters.

• 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 vector searches?

  Yes, the MCP includes a capability for executing KNN vector similarity searches via your existing indices.

• 04

  Can I run standard SQL queries?

  You can run N1QL queries, which is the SQL-for-JSON language used by Couchbase.

• 05

  Do I need to manage the connection myself?

  No, Vinkius hosts and manages the MCP, so you only need to connect your client once.

• 06

  Can my agent perform K-Nearest Neighbor (KNN) vector searches in Couchbase?

  Yes. Provide the search index name, the vector embedding array, and the number of results (k). The agent uses Couchbase's native vector capabilities to locate the most semantically similar documents in your cluster.

• 07

  How do I execute a N1QL query through the agent?

  Use the 'execute_n1ql_query' capability and provide your SQL-like statement. The agent will fetch the structural JSON blocks directly from Couchbase, allowing you to perform complex data retrieval using familiar SQL syntax.

• 08

  Can I search documents using full-text query logic?

  Absolutely. The 'fts_search' capability leverages Couchbase's Full-Text Search (FTS) engine. Provide an index name and a boolean query string to perform structural text-based extraction across your document trees.

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