Can I train a machine learning model using SQL through my agent?

Yes. Use the `execute_sql_query` tool with the 'CREATE MODEL' statement. Your agent will dispatch the command to MindsDB, which will automatically handle the data processing and training of your predictor asynchronously.

How do I connect an external database like PostgreSQL to MindsDB using the agent?

The `execute_sql_query` tool supports the 'CREATE DATABASE' syntax. You can command your agent to link a new data source by providing the connection parameters, allowing MindsDB to query your existing data natively.

Can my agent retrieve the status of an ongoing model training?

Absolutely. Use the `get_model` tool by providing the model name and project. Your agent will report the current training state, accuracy metrics, and any errors encountered during the AI generation process.

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

Name: MindsDB (AI Database & Predictors)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 6 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MindsDB (AI Database & Predictors) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="MindsDB (AI Database & Predictors) Assistant",
            instructions=(
                "You help users interact with MindsDB (AI Database & Predictors). "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from MindsDB (AI Database & Predictors)"
        )
        print(result.final_output)

asyncio.run(main())

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* 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.

The OpenAI Agents SDK auto-discovers all 6 tools from MindsDB (AI Database & Predictors) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MindsDB (AI Database & Predictors), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 6 tools from MindsDB (AI Database & Predictors)

Why Use OpenAI Agents SDK with the MindsDB (AI Database & Predictors) MCP Server

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

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

MindsDB (AI Database & Predictors) + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query MindsDB (AI Database & Predictors), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries MindsDB (AI Database & Predictors), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through MindsDB (AI Database & Predictors) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query MindsDB (AI Database & Predictors) to resolve tickets, look up records, and update statuses without human intervention

MindsDB (AI Database & Predictors) MCP Tools for OpenAI Agents SDK (6)

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

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

get_model

Get an explicitly trained AI prediction engine

get_status

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

list_databases

List external databases connected through MindsDB

list_models

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

list_views

List virtual data views stored inside a target project

Example Prompts for MindsDB (AI Database & Predictors) in OpenAI Agents SDK

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

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

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

"Show me all connected databases in my MindsDB instance"

Troubleshooting MindsDB (AI Database & Predictors) MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

MindsDB (AI Database & Predictors) + OpenAI Agents SDK FAQ

Common questions about integrating MindsDB (AI Database & Predictors) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.