MindsDB (AI Database & Predictors) MCP Server
Manage AI-powered data via MindsDB — execute SQL predictions, audit ML models, and connect data sources.
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What is the MindsDB MCP Server?
The MindsDB MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to MindsDB via 6 tools. Manage AI-powered data via MindsDB — execute SQL predictions, audit ML models, and connect data sources. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (6)
Tools for your AI Agents to operate MindsDB
Ask your AI agent "List all ML models in the 'mindsdb' project" and get the answer without opening a single dashboard. With 6 tools connected to real MindsDB data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
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MindsDB (AI Database & Predictors) MCP Server capabilities
6 toolsE.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 an explicitly trained AI prediction engine
Acts as a ping tracer returning valid core version/health specs. Get active cluster diagnostic and version statistics
List external databases connected through MindsDB
Use when checking which algorithms are ready to query predictions. List trained AI tables (models) available in a project
List virtual data views stored inside a target project
What the MindsDB (AI Database & Predictors) MCP Server unlocks
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
Frequently asked questions about the MindsDB (AI Database & Predictors) MCP Server
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.
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Give your AI agents the power of MindsDB MCP Server
Production-grade MindsDB (AI Database & Predictors) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.






