mindsdb/mindsdb

MindsDB is an open-source AI data platform and federated query engine designed to connect, unify, and enable querying across multiple data sources using natural language or SQL. It features a built-in MCP (Multi-Connection Platform) server to manage and integrate data across databases, data warehouses, and SaaS applications.

Features

• Federated Query Engine: Query and combine data from disparate sources including databases, data warehouses, and SaaS platforms.
• Natural Language and SQL Querying: Supports queries in both SQL and natural language, making data access accessible to a wider range of users.
• MCP Server: Central interface to connect and manage multiple data sources for unified querying and data integration.
• Knowledge Bases: Build knowledge bases (autonomous RAG systems) that can ingest and learn from structured and unstructured data, enabling AI to answer questions over federated data.
• Customizable Embeddings and Vector Stores: Allows customization of embedding models and vector databases for advanced AI and RAG (Retrieval-Augmented Generation) applications.
• Flexible Deployment: Deployable on local machines, private servers, or in the cloud. Available via Docker and PyPI.
• Python SDK: Programmatic access and integration into Python applications.
• Open Source: Community-driven development with public contributions.
• Extensive Integrations: Connects to hundreds of data sources.
• Data Transformation: Supports data combination, transformation, and enrichment using standard SQL.

Example Use Cases

• Federated analytics across multiple databases and SaaS products
• Building AI-powered applications that answer questions over organizational data
• Creating and querying knowledge bases from existing datasets

Category

data-access-integration-mcp-servers

Tags

database, integration, data-virtualization, open-source

Pricing

MindsDB is open-source and free to use. (No commercial pricing information provided in the content.)

Links

• Source Code
• Documentation
• Demo
• Website