Verbinden Sie Oracle Vector Db mit ChatGPT und Claude

• 01 / 02Vektor-Indizes auditieren
• 02 / 02So führen Sie Vektorsuchen durch

Schnellster Tag

731ms

Langsamster Tag

1021ms

14-Tage-Trend

Verlangsamend+10%

Oracle Database Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_Bs3fBgLmPqQPV1iPDfqOKsvG2g10fcqpkDZdhwp8/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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.

Konfiguration · claude_desktop_config.jsonKopieren

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

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

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Oracle Database in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  Enterprise Data Teams

  Führen Vektorsuchen in Produktionsdatenbanken durch, ohne zwischen SQL Developer und KI-Capabilities wechseln zu müssen.

• 02

  ML Engineers

  Testen Embedding-Abfragen auf der nativen Oracle 23ai Vektor-Engine während der RAG-Pipeline-Entwicklung.

• 03

  DBAs

  Überprüfen Vektorindizes, Tabellenstatistiken und Schemakonfigurationen über einfache Konversation.

• 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) KI-Connector

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

  Ansehen
• 

  Redis Vector KI-Connector

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

  Ansehen
• 

  pgvector (Vector Database) KI-Connector

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

  Ansehen
• 

  Milvus (Open-Source Vector Database) KI-Connector

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

  Ansehen

Vorschläge

• 

  MyScale (SQL Vector Database API) KI-Connector

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

  Ansehen
• 

  ClickHouse (Vector Search) KI-Connector

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

  Ansehen
• 

  Typesense Vector Search KI-Connector

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

  Ansehen
• 

  Vector Similarity Threshold Enforcer KI-Connector

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

  Ansehen