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Vinkius runs on Cursor

How to Use the Oracle Vector DB MCP in Cursor

Generate code using real Oracle 23ai vector search results inside your Cursor Agent.

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Oracle Vector DB MCP on Cursor AI Code Editor MCP Client Oracle Vector DB MCP on Claude Desktop App MCP Integration Oracle Vector DB MCP on OpenAI Agents SDK MCP Compatible Oracle Vector DB MCP on Visual Studio Code MCP Extension Client Oracle Vector DB MCP on GitHub Copilot AI Agent MCP Integration Oracle Vector DB MCP on Google Gemini AI MCP Integration Oracle Vector DB MCP on Lovable AI Development MCP Client Oracle Vector DB MCP on Mistral AI Agents MCP Compatible Oracle Vector DB MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Cursor

Connect Oracle Vector DB MCP to Cursor

Create your Vinkius account to connect Oracle Vector DB to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Generate code with real vector search data

The `vector_search` tool runs native VECTOR_DISTANCE math inside Oracle 23ai to feed real semantic coordinates directly into your Cursor editor. This lets your Cursor Agent write application logic using actual database responses instead of placeholder stubs. You avoid writing broken database connectors because the editor sees the exact structure of your high-dimensional vectors. The agent writes, tests, and refactors your vector search code using live database feedback.

Inspect database schemas inside Cursor

The `describe_table` tool reads the exact column specifications and vector types of your database to inform your Cursor code generation. The editor uses this schema data to write precise SQL queries that match your Oracle 23ai tables. By executing `list_tables` and `table_stats` alongside your open files, the agent gets the context of your database scale. This prevents the editor from generating queries that fail against large production datasets.

Monitor index structures with this MCP Server

The `list_vector_indexes` tool pulls details on your HNSW and IVF indexes directly into the Cursor chat sidebar. This allows you to verify that your code targets the correct index during performance tuning sessions. This MCP Server keeps your payloads light when testing queries. You can use `execute_sql_query` to run test runs directly in your editor, provided you append FETCH FIRST 100 ROWS ONLY.

Setup guide

Set up Oracle Vector DB MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Oracle Vector DB MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Oracle Vector DB transactions." If the MCP tools are loaded correctly, Cursor will call the Oracle Vector DB tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "oracle-vector-db-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Oracle Database. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

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Common questions about Oracle Vector DB MCP in Cursor

Create a .cursor/mcp.json file in your project root and define the server configuration there. Cursor will automatically load the tools, allowing the Agent to call them directly during your coding sessions.
Yes, when you ask Cursor to write or debug semantic search logic, it uses the `vector_search` tool to execute real queries against your database. This MCP integration lets the editor verify its own code against live data.
The `execute_sql_query` tool requires you to restrict row counts, ideally using FETCH FIRST 100 ROWS ONLY. This prevents Cursor from stalling when processing large database payloads in the editor.
Yes, the `get_database_version` tool checks your Oracle database runtime version directly from the editor. This confirms that your environment supports the 23ai vector features you are coding against.
Yes, all database interactions occur through an ephemeral, zero-trust V8 isolate hosted by Vinkius. This MCP setup ensures your SQL queries and table schemas are processed in memory and never stored on persistent disks.

Start using the Oracle Vector DB MCP today

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