mindsdb

mindsdb

AI Analytics Engine that can answer questions over large scale data. - The only MCP Server you'll ever need

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MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

README:

MindsDB Release Python supported Docker pulls

mindsdb%2Fmindsdb | Trendshift

MindsDB


Website · Docs · Contact us for a Demo · Community Slack


MindsDB enables humans, AI, agents, and applications to get highly accurate answers across large scale data sources.

MindsDB Demo

Install MindsDB Server

MindsDB is an open-source server that can be deployed anywhere - from your laptop to the cloud, and everywhere in between. And yes, you can customize it to your heart's content.

  • Using Docker Desktop. This is the fastest and recommended way to get started and have it all running.
  • Using Docker. This is also simple, but gives you more flexibility on how to further customize your server.

MindsDB has an MCP server built in that enables your MCP applications to connect, unify and respond to questions over large-scale federated data—spanning databases, data warehouses, and SaaS applications.


Core Philosophy: Connect, Unify, Respond

MindsDB's architecture is built around three fundamental capabilities:

Connect Your Data

You can connect to hundreds of enterprise data sources (learn more). These integrations allow MindsDB to access data wherever it resides, forming the foundation for all other capabilities.

Unify Your Data

In many situations, it’s important to be able to prepare and unify data before generating responses from it. MindsDB SQL offers knowledge bases and views that allow indexing and organizing structured and unstructured data as if it were unified in a single system.

  • KNOWLEDGE BASES – Index and organize unstructured data for efficient Q&A.
  • VIEWS – Simplify data access by creating unified views across different sources (no-ETL).

Unification of data can be automated using JOBs

  • JOBS – Schedule synchronization and transformation tasks for real-time processing.

Respond From Your Data

Chat with Your Data

  • AGENTS – Configure built-in agents specialized in answering questions over your connected and unified data.
  • MCP – Connect to MindsDB through the MCP (Model Context Protocol) for seamless interaction.

🤝 Contribute

Interested in contributing to MindsDB? Follow our installation guide for development.

You can find our contribution guide here.

We welcome suggestions! Feel free to open new issues with your ideas, and we’ll guide you.

This project adheres to a Contributor Code of Conduct. By participating, you agree to follow its terms.

Also, check out our community rewards and programs.

🤍 Support

If you find a bug, please submit an issue on GitHub.

Here’s how you can get community support:

For commercial support, please contact the MindsDB team.

💚 Current Contributors

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