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Use Oracle Database with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Run vector similarity searches on Oracle 23ai. execute VECTOR_DISTANCE queries, inspect schemas, list vector indexes, and query tables from any AI agent.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Oracle Database capability set.

These are the exact actions your AI can choose when you ask it to work with Oracle Database.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Oracle Database.

  1. 01

    Execute SQL query

    WARNING: Output payload size is inherently limited, restrict rows fetched (FETCH FIRST 100 ROWS ONLY) to ensure stability. Execute arbitrary SQL query against the Oracle runtime via ORDS

  2. 02

    Get database version

    Get exact Oracle DB Runtime version banner

  3. 03

    Table stats

    Get table cardinality and optimizer statistics

  4. 04

    Describe table

    Describe table columns and explicit data types including VECTORs

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Oracle Database.

  1. 05

    List tables

    List accessible tables in the current Oracle schema

  2. 06

    List vector indexes

    List specialized AI Vector search indexes (HNSW, IVF) instantiated

  3. 07

    Vector search

    1, -0.4, 0.5] against a strict VECTOR` column natively inside Oracle DB, sorting and fetching the nearest neighbors. Execute Vector similarity search via Oracle 23ai native VECTOR_DISTANCE

Observed, not estimated

832ms average. Fast in production.

Oracle Database is checked daily against the live service.

Daily averagePeak 1032ms
Aug 20Today
Fastest day
693ms
Slowest day
1032ms
14-day trend
Slowing+15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Oracle Database, so you can see the experience inside your AI.

It does not authenticate your account with Oracle Database. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Oracle Database Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Bs3fBgLmPqQPV1iPDfqOKsvG2g10fcqpkDZdhwp8/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "oracle-vector-db-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Bs3fBgLmPqQPV1iPDfqOKsvG2g10fcqpkDZdhwp8/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Oracle Database owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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.

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