2,500+ MCP servers ready to use
Vinkius

Oracle Vector DB MCP Server for Cursor 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Oracle Vector DB and 2,500+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "oracle-vector-db": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Oracle Vector DB
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Oracle Vector DB MCP Server

Bring your Oracle Database 23ai vector capabilities directly into your AI agent workflow. Run VECTOR_DISTANCE similarity searches, inspect table schemas, execute SQL queries, and manage vector indexes — all through natural conversation.

Cursor's Agent mode turns Oracle Vector DB into an in-editor superpower. Ask Cursor to generate code using live data from Oracle Vector DB and it fetches, processes, and writes — all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

  • Vector Similarity Search — Execute native Oracle 23ai VECTOR_DISTANCE queries with cosine or Euclidean metrics against any table with VECTOR columns
  • Schema Inspection — List all tables in your schema and describe column types, spotting VECTOR-enabled columns for embedding storage
  • SQL Execution — Run arbitrary SQL queries against Oracle via ORDS for ad-hoc analysis and data retrieval
  • Vector Index Management — List all HNSW and IVF vector indexes instantiated across your tables
  • Table Statistics — Get row counts and optimizer stats for capacity planning and query performance tuning
  • Version Check — Verify your Oracle runtime version to confirm 23ai vector feature compatibility

The Oracle Vector DB MCP Server exposes 7 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Oracle Vector DB to Cursor via MCP

Follow these steps to integrate the Oracle Vector DB MCP Server with Cursor.

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

03

Save the file

Cursor will automatically detect the new MCP server

04

Start using Oracle Vector DB

Open Agent mode in chat and ask: "Using Oracle Vector DB, help me..."7 tools available

Why Use Cursor with the Oracle Vector DB MCP Server

Cursor AI Code Editor provides unique advantages when paired with Oracle Vector DB through the Model Context Protocol.

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Oracle Vector DB + Cursor Use Cases

Practical scenarios where Cursor combined with the Oracle Vector DB MCP Server delivers measurable value.

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Oracle Vector DB MCP Tools for Cursor (7)

These 7 tools become available when you connect Oracle Vector DB to Cursor via MCP:

01

describe_table

Describe table columns and explicit data types including VECTORs

02

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

03

get_database_version

Get exact Oracle DB Runtime version banner

04

list_tables

List accessible tables in the current Oracle schema

05

list_vector_indexes

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

06

table_stats

Get table cardinality and optimizer statistics

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

Example Prompts for Oracle Vector DB in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Oracle Vector DB immediately.

01

"Show me all tables in my schema that have VECTOR columns."

02

"Find the 5 most similar documents to this embedding using cosine distance."

03

"What version of Oracle is running and does it support vectors?"

Troubleshooting Oracle Vector DB MCP Server with Cursor

Common issues when connecting Oracle Vector DB to Cursor through the Vinkius, and how to resolve them.

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Oracle Vector DB + Cursor FAQ

Common questions about integrating Oracle Vector DB MCP Server with Cursor.

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

Connect Oracle Vector DB to Cursor

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.