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MindsDB (AI Database & Predictors)

MindsDB (AI Database & Predictors) MCP Server

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Manage AI-powered data via MindsDB — execute SQL predictions, audit ML models, and connect data sources.

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AI AgentVinkius
High Security·Kill Switch·Plug and Play
MindsDB (AI Database & Predictors)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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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

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)

execute_sql_queryget_modelget_statuslist_databaseslist_modelslist_views

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

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

MindsDB (AI Database & Predictors) MCP Server capabilities

6 tools
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

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

01

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.

02

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.

03

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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