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 AutoGen 6 tools — connect in under 2 minutes

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

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 6 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add MindsDB (AI Database & Predictors) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="mindsdb_ai_database_predictors_agent",
            tools=tools,
            system_message=(
                "You help users with MindsDB (AI Database & Predictors). "
                "6 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use MindsDB (AI Database & Predictors) tools. Connect 6 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 6 tools from MindsDB (AI Database & Predictors) automatically

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

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use MindsDB (AI Database & Predictors) tools to solve complex tasks

Role-based architecture lets you assign MindsDB (AI Database & Predictors) tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive MindsDB (AI Database & Predictors) tool calls

Code execution sandbox: AutoGen agents can write and run code that processes MindsDB (AI Database & Predictors) tool responses in an isolated environment

MindsDB (AI Database & Predictors) + AutoGen Use Cases

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

Collaborative analysis: one agent queries MindsDB (AI Database & Predictors) while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from MindsDB (AI Database & Predictors), a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using MindsDB (AI Database & Predictors) data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process MindsDB (AI Database & Predictors) responses in a sandboxed execution environment

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

These 6 tools become available when you connect MindsDB (AI Database & Predictors) to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

MindsDB (AI Database & Predictors) + AutoGen FAQ

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

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call MindsDB (AI Database & Predictors) tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.