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MindsDB (AI Database & Predictors) MCP Server for Mastra AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect MindsDB (AI Database & Predictors) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "mindsdb-ai-database-predictors": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "MindsDB (AI Database & Predictors) Agent",
    instructions:
      "You help users interact with MindsDB (AI Database & Predictors) " +
      "using 6 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with MindsDB (AI Database & Predictors)?"
  );
  console.log(result.text);
}

main();
MindsDB (AI Database & Predictors)
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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 MindsDB (AI Database & Predictors) MCP Server

Connect your MindsDB instance to any AI agent and take full control of your machine learning workflows, automated predictions, and data integrations through natural SQL-based conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and MindsDB (AI Database & Predictors) tool infrastructure. Connect 6 tools through 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

  • Predictive Orchestration — Execute arbitrary SQL statements to trigger automated machine learning commands, including 'CREATE MODEL' and 'SELECT ... PREDICT' directly from your agent
  • Model Lifecycle Audit — List trained AI tables (models) across your projects and retrieve detailed meta-features tracking generation progress or internal accuracy metrics
  • Data Source Integration — Enumerate external databases connected through MindsDB (e.g., PostgreSQL, Snowflake, ClickHouse) to audit your data pipeline boundaries securely
  • Virtual View Management — List virtual data views and SQL structural mappings that act as proxy tables for complex data transformation logic
  • Cluster Diagnostics — Retrieve active cluster status and version statistics to verify the availability and health of your MindsDB environment
  • Advanced SQL Execution — Run sophisticated queries combining scalar data with ML predictions to fetch literal insights across any schema entity natively

The MindsDB (AI Database & Predictors) MCP Server exposes 6 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 MindsDB (AI Database & Predictors) to Mastra AI via MCP

Follow these steps to integrate the MindsDB (AI Database & Predictors) MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 6 tools from MindsDB (AI Database & Predictors) via MCP

Why Use Mastra AI with the MindsDB (AI Database & Predictors) MCP Server

Mastra AI provides unique advantages when paired with MindsDB (AI Database & Predictors) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MindsDB (AI Database & Predictors) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every MindsDB (AI Database & Predictors) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

MindsDB (AI Database & Predictors) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the MindsDB (AI Database & Predictors) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query MindsDB (AI Database & Predictors), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed MindsDB (AI Database & Predictors) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query MindsDB (AI Database & Predictors) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using MindsDB (AI Database & Predictors) tools alongside other MCP servers

MindsDB (AI Database & Predictors) MCP Tools for Mastra AI (6)

These 6 tools become available when you connect MindsDB (AI Database & Predictors) to Mastra AI via MCP:

01

execute_sql_query

E.g: CREATE DATABASE, SELECT ... WHERE, CREATE MODEL ... PREDICT. Wrap logic safely. VERY IMPORTANT: queries returning a large number of rows MUST be explicitly wrapped in a LIMIT statement or risk hitting context overflow. Execute arbitrary SQL statements bounding MindsDB elements

02

get_model

Get an explicitly trained AI prediction engine

03

get_status

Acts as a ping tracer returning valid core version/health specs. Get active cluster diagnostic and version statistics

04

list_databases

List external databases connected through MindsDB

05

list_models

Use when checking which algorithms are ready to query predictions. List trained AI tables (models) available in a project

06

list_views

List virtual data views stored inside a target project

Example Prompts for MindsDB (AI Database & Predictors) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with MindsDB (AI Database & Predictors) immediately.

01

"List all ML models in the 'mindsdb' project"

02

"Execute SQL: SELECT price, price_explain FROM mindsdb.home_price_predictor WHERE sqft = 2500"

03

"Show me all connected databases in my MindsDB instance"

Troubleshooting MindsDB (AI Database & Predictors) MCP Server with Mastra AI

Common issues when connecting MindsDB (AI Database & Predictors) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

MindsDB (AI Database & Predictors) + Mastra AI FAQ

Common questions about integrating MindsDB (AI Database & Predictors) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect MindsDB (AI Database & Predictors) to Mastra AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.