mindsdb

Query Engine for AI Analytics: Build self-reasoning agents across all your live data

Installation

Run this command in your terminal to add the MCP server to Claude Code.

Run in terminal:

Command

claude mcp add --transport stdio mindsdb-mindsdb docker run --name mindsdb_container -e MINDSDB_APIS=http,mysql -p 47334:47334 -p 47335:47335 mindsdb/mindsdb:latest \
  --env MINDSDB_APIS="API endpoints to expose (e.g., http,mysql)"

How to use

MindsDB is an open-source query engine designed for AI analytics, enabling users to create AI agents that can answer questions directly from various data sources without the need for ETL processes. With MindsDB, you can connect to over 200 live data sources, including SQL databases, NoSQL databases, and even unstructured data sources. The core functionality revolves around a simple workflow: Connect, Unify, and Respond. Users can leverage SQL-compatible queries to retrieve and analyze data, create views, and join data from different systems seamlessly.

How to install

To install MindsDB, you can choose from several methods: Docker, Docker Extension, or PyPI. Here are the steps for installing via Docker:

Ensure you have Docker installed on your machine. You can download it from https://www.docker.com/get-started.

Open your terminal and run the following command to pull and run the MindsDB Docker image:

docker run --name mindsdb_container \
-e MINDSDB_APIS=http,mysql \
-p 47334:47334 -p 47335:47335 \
mindsdb/mindsdb:latest

After the container is running, you can access MindsDB through the specified ports.

Additional notes

When using MindsDB, ensure that your data sources are properly configured and accessible. Common issues may arise from network configurations or incorrect API keys when connecting to external services. Additionally, you can customize the environment variable MINDSDB_APIS to expose different API endpoints based on your requirements. For further assistance, refer to the official documentation.