Oracle Vector DbをChatGPT、Claude、Geminiに接続

• 01 / 02ベクトルインデックスの監査方法
• 02 / 02ベクトル検索の実行方法

最速日

731ms

最遅日

1021ms

14日間の傾向

遅延傾向+10%

Oracle Database 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_Bs3fBgLmPqQPV1iPDfqOKsvG2g10fcqpkDZdhwp8/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 — Oracle Database capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "oracle-vector-db-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Bs3fBgLmPqQPV1iPDfqOKsvG2g10fcqpkDZdhwp8/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？ Oracle Database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

  エンタープライズデータチーム

  SQL Developerなどのツールに切り替えることなく、本番環境のOracleデータベースに対してベクトル検索を実行できます。

• 02

  MLエンジニア

  RAGパイプラインの開発中に、Oracle 23aiのネイティブなベクトルエンジンを用いた埋め込みクエリのテストが可能です。

• 03

  DBA

  対話形式を通じて、ベクトルインデックス、テーブル統計、スキーマ構成を迅速に調査できます。

• 01

  Does this MCP support Oracle 23ai vector features?

  Yes, this MCP is specifically designed to use Oracle 23ai native vector capabilities like VECTOR_DISTANCE.

• 02

  What kind of vector indexes can I see?

  You can list specialized AI vector search indexes, specifically HNSW and IVF, that are instantiated in your tables.

• 03

  How do I run standard SQL queries?

  You can use the execute_sql_query capability to run arbitrary SQL against your Oracle runtime via ORDS.

• 04

  Can I use this with Claude or Cursor?

  Yes, once connected via Vinkius, you can use this MCP with any MCP-compatible client including Claude, Cursor, and Windsurf.

• 05

  What happens if my SQL query returns too much data?

  The execute_sql_query capability is designed to fetch only the first 100 rows to ensure stability and prevent payload issues.

• 06

  Does it work with Oracle Autonomous Database?

  Yes. Oracle Autonomous Database on OCI has ORDS enabled by default. Use the ORDS URL from your ADB instance (e.g., https://xxxxx.adb.us-ashburn-1.oraclecloudapps.com/ords), your schema name (typically ADMIN), and the admin credentials. The VECTOR type is available on all 23ai-compatible instances.

• 07

  Can I run arbitrary SQL. not just vector searches?

  Yes. The execute_sql_query capability accepts any valid Oracle SQL statement and returns results through ORDS. Add FETCH FIRST N ROWS ONLY to keep payloads manageable. This makes the agent useful for relational queries too, not just vector operations.

• 08

  Which distance metrics are available for vector search?

  Oracle 23ai supports COSINE and EUCLIDEAN (L2) distance metrics natively via VECTOR_DISTANCE. Specify the metric when running a search. cosine is recommended for most text embedding use cases, while L2 works better for image or audio embeddings.

• 

  Lucidworks Fusion (AI Search & Discovery) AIコネクタ

  Manage AI-powered search via Lucidworks Fusion — execute semantic queries, index documents, and monitor ML tra

  表示
• 

  Redis Vector AIコネクタ

  Equip your AI to autonomously manage embeddings, run KNN similarity searches, and administrate vector indexes

  表示
• 

  pgvector (Vector Database) AIコネクタ

  Run vector similarity searches, manage embedding tables, and build AI-powered retrieval pipelines — all direct

  表示
• 

  Milvus (Open-Source Vector Database) AIコネクタ

  Manage vector storage via Milvus — perform ANN searches, query scalar entities, and audit collections.

  表示

おすすめ

• 

  MyScale (SQL Vector Database API) AIコネクタ

  Manage MyScale vector databases via SQL — execute queries, perform vector searches, and manage indices directl

  表示
• 

  ClickHouse (Vector Search) AIコネクタ

  Manage vector embeddings and SQL via ClickHouse — list databases, execute SQL, and perform high-speed vector s

  表示
• 

  Typesense Vector Search AIコネクタ

  Automate vector similarity searches via Typesense — index documents, manage collections, and execute semantic

  表示
• 

  Vector Similarity Threshold Enforcer AIコネクタ

  Compute exact vector similarity scores and enforce strict relevance thresholds for RAG pipelines.

  表示