Bring Machine Learning
to Google ADK

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.

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

How it works

1. Subscribe to this server
2. Enter your MindsDB API URL and API Key (if using Cloud)
3. Start automating your machine learning from Claude, Cursor, or any MCP-compatible client

Who is this for?

• Data Scientists — test predictor accuracy and monitor ML model training statuses through natural conversation without manual CLI tools
• Software Developers — integrate AI-powered predictions into applications and verify data source connections directly from your workspace
• BI Analysts — execute SQL queries that combine historical data with future predictions to generate rapid business insights efficiently