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Connect Oracle Vector Db to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run vector similarity searches directly from your AI agent.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Oracle Database.

  1. 01

    Execute SQL query

    Runs arbitrary SQL queries against your Oracle runtime via ORDS. Keep your results manageable by fetching only the first 100 rows.

  2. 02

    Get database version

    Retrieves the exact Oracle DB runtime version banner to confirm feature support.

  3. 03

    Table stats

    Fetches table cardinality and optimizer statistics for your data.

  4. 04

    Describe table

    Provides a breakdown of table columns and data types, including VECTOR definitions.

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Oracle Database.

  1. 05

    List tables

    Returns a list of all tables currently accessible in your Oracle schema.

  2. 06

    List vector indexes

    Shows all active HNSW and IVF vector indexes across your tables.

  3. 07

    Vector search

    Performs native Oracle 23ai VECTOR_DISTANCE similarity searches to find the nearest neighbors for a given embedding.

Real work

What teams actually run

01

RAG Pipeline Testing

An engineer tests how specific embeddings perform against Oracle 23ai vector columns.

02

Database Auditing

A DBA checks for the presence of HNSW indexes and verifies table cardinality.

03

Data Analysis

A data analyst runs SQL queries to pull specific datasets for immediate AI processing.

04

Schema Discovery

A developer identifies which tables contain VECTOR data types for embedding storage.

Automate a task

Put Oracle Database to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Oracle Database works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Oracle Database to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

900ms average. Fast in production.

Oracle Database is checked daily against the live service.

Daily averagePeak 1021ms
Oct 3Today
Fastest day
731ms
Slowest day
1021ms
14-day trend
Slowing+10%

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

Guided setup for Claude? Set up Oracle Database in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Oracle Database owners hand off.

This MCP is built for technical professionals working with enterprise Oracle environments and AI-driven data workflows.

  • 01

    Enterprise Data Teams

    They use the agent to run vector searches against production databases without opening SQL Developer.

  • 02

    ML Engineers

    They test embedding queries on native Oracle 23ai engines during RAG development.

  • 03

    DBAs

    They inspect vector indexes and table statistics through natural language conversation.

FAQ

Questions Oracle Database owners ask.

  • 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.

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