AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need
Overview
What is MindsDB?
MindsDB is an innovative platform designed to empower users to build artificial intelligence systems capable of answering complex queries over large-scale federated data. It serves as a powerful query engine that simplifies the integration of AI into various applications, making it accessible for developers and businesses alike. With MindsDB, users can leverage machine learning models to enhance their data analysis capabilities without needing extensive expertise in AI.
Features of MindsDB
- User-Friendly Interface: MindsDB offers an intuitive interface that allows users to easily create and manage AI models without deep technical knowledge.
- Federated Learning: The platform supports federated learning, enabling models to learn from decentralized data sources while maintaining data privacy.
- Integration Capabilities: MindsDB seamlessly integrates with popular databases and data sources, making it easy to incorporate AI into existing workflows.
- Real-Time Predictions: Users can obtain real-time predictions and insights from their data, enhancing decision-making processes.
- Open Source: Being an open-source platform, MindsDB encourages community contributions and collaboration, fostering innovation and improvement.
How to Use MindsDB
- Installation: Start by installing MindsDB on your local machine or server. You can find installation instructions on the official MindsDB website.
- Connect Data Sources: Integrate MindsDB with your preferred databases or data sources. This can be done through the user interface or by using API calls.
- Create Models: Utilize the platform's tools to create machine learning models tailored to your specific data and use cases.
- Train Models: Train your models using historical data to improve their accuracy and performance.
- Make Predictions: Once trained, you can use your models to make predictions on new data, providing valuable insights and answers to your queries.
Frequently Asked Questions
Q: Is MindsDB suitable for beginners?
A: Yes, MindsDB is designed to be user-friendly, making it accessible for beginners and those without extensive AI knowledge.
Q: Can I use MindsDB with any database?
A: MindsDB supports integration with various databases, including MySQL, PostgreSQL, and others, allowing for flexible data management.
Q: Is MindsDB free to use?
A: MindsDB is an open-source platform, which means it is free to use. However, there may be premium features or support options available.
Q: What types of predictions can I make with MindsDB?
A: MindsDB can be used for a variety of predictions, including classification, regression, and time-series forecasting, depending on your data and model configuration.
Q: How does MindsDB ensure data privacy?
A: MindsDB employs federated learning techniques, which allow models to learn from data without transferring sensitive information, thus maintaining privacy and security.
Details
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<div align="center"> <a href="https://pypi.org/project/MindsDB/" target="_blank"><img src="https://badge.fury.io/py/MindsDB.svg" alt="MindsDB Release"></a> <a href="https://www.python.org/downloads/" target="_blank"><img src="https://img.shields.io/badge/python-3.10.x%7C%203.11.x-brightgreen.svg" alt="Python supported"></a> <a href="https://ossrank.com/p/630"><img src="https://shields.io/endpoint?url=https://ossrank.com/shield/630"></a> <img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/Mindsdb"> <a href="https://hub.docker.com/u/mindsdb" target="_blank"><img src="https://img.shields.io/docker/pulls/mindsdb/mindsdb" alt="Docker pulls"></a> <br /> <br /> <a href="https://github.com/mindsdb/mindsdb"> <img src="/docs/assets/mindsdb_logo.png" alt="MindsDB" width="300"> </a> <p align="center"> <br /> <a href="https://www.mindsdb.com?utm_medium=community&utm_source=github&utm_campaign=mindsdb%20repo">Website</a> · <a href="https://docs.mindsdb.com?utm_medium=community&utm_source=github&utm_campaign=mindsdb%20repo">Docs</a> · <a href="https://mdb.ai/register">Demo</a> · <a href="https://mindsdb.com/joincommunity?utm_medium=community&utm_source=github&utm_campaign=mindsdb%20repo">Community Slack</a> </p> </div>MindsDB enables humans, AI, agents, and applications to get highly accurate answers across sprawled and large scale data sources.
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.
Minds Demo
Play with Minds demo, and see the power of MindsDB at answering questions from structured to unstructured data, whether it's scattered across SaaS applications, databases, or... hibernating in data warehouses like that $100 bill in your tuxedo pocket from prom night, lost, waiting to be discovered.
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.
- Using PyPI. This option enables you to contribute to MindsDB.
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
Once connected, these data sources can be queried using a full SQL dialect, as if they were all part of a single database. MindsDB’s federated query engine translates your SQL queries and executes them on the appropriate connected data sources.
When working with many data sources, it’s important to prepare and unify your data before generating responses from it. MindsDB SQL offers virtual tables (views, knowledge bases, ml-models) to allow working with heterogeneous data as if it were unified in a single organized system.
- VIEWS – Simplify data access by creating unified views across different sources (no-ETL).
- KNOWLEDGE BASES – Index and organize unstructured data for efficient retrieval.
- ML MODELS – Apply AI/ML transformations to gain insights from your data.
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:
- Ask a question in our Slack Community.
- Join our GitHub Discussions.
- Post on Stack Overflow with the MindsDB tag.
For commercial support, please contact the MindsDB team.
💚 Current Contributors
<a href="https://github.com/mindsdb/mindsdb/graphs/contributors"> <img src="https://contributors-img.web.app/image?repo=mindsdb/mindsdb" /> </a>Generated with contributors-img.
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Server Config
{
"mcpServers": {
"mindsdb": {
"url": "http://127.0.0.1:47337/sse"
}
}
}