Oracle Vector DB MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Oracle Vector DB through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"oracle-vector-db": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Oracle Vector DB Agent",
instructions:
"You help users interact with Oracle Vector DB " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Oracle Vector DB?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Oracle Vector DB tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Oracle Vector DB MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Oracle Vector DB via MCP
Why Use Mastra AI with the Oracle Vector DB MCP Server
Mastra AI provides unique advantages when paired with Oracle Vector DB through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Oracle Vector DB without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Oracle Vector DB tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Oracle Vector DB + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Oracle Vector DB MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Oracle Vector DB, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Oracle Vector DB as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Oracle Vector DB on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Oracle Vector DB tools alongside other MCP servers
Oracle Vector DB MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Oracle Vector DB to Mastra AI via MCP:
describe_table
Describe table columns and explicit data types including VECTORs
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
get_database_version
Get exact Oracle DB Runtime version banner
list_tables
List accessible tables in the current Oracle schema
list_vector_indexes
List specialized AI Vector search indexes (HNSW, IVF) instantiated
table_stats
Get table cardinality and optimizer statistics
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 Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Oracle Vector DB immediately.
"Show me all tables in my schema that have VECTOR columns."
"Find the 5 most similar documents to this embedding using cosine distance."
"What version of Oracle is running and does it support vectors?"
Troubleshooting Oracle Vector DB MCP Server with Mastra AI
Common issues when connecting Oracle Vector DB to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOracle Vector DB + Mastra AI FAQ
Common questions about integrating Oracle Vector DB MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Oracle Vector DB with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Oracle Vector DB to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.