mindsdb

mindsdb

Connect, unify, and query data at scale with an open-source AI platform.

35,487
Stars
5,735
Forks
35,487
Watchers
127
Issues
MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

Key Features

Built-in Model Context Protocol (MCP) server
Connects to hundreds of enterprise data sources
Unified data access with knowledge bases and views
Automated sync and transformation with scheduled jobs
Conversational interface for data querying
SQL-based management of data and agents
Customizable deployment (laptop, server, cloud)
Integration of structured and unstructured data
Configurable specialized agents
Open-source and extensible architecture

Use Cases

Conversational querying over enterprise data
Federated search across databases, warehouses, and SaaS
Automating data synchronization and transformation tasks
Indexing and organizing unstructured data for Q&A
Creating unified views across disparate data sources
Developing AI agents for specialized business queries
Real-time data processing and automation
Building data-driven applications with unified backend
Standardizing model context management for AI systems
Enabling analytics and reporting from multiple data silos

README


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

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

Generated with contributors-img.

🔔 Subscribe for Updates

Join our Slack community

Star History

Star History Chart

Repository Owner

mindsdb
mindsdb

Organization

Repository Details

Language Python
Default Branch main
Size 264,824 KB
Contributors 30
License Other
MCP Verified Sep 1, 2025

Programming Languages

Python
99.82%
Dockerfile
0.08%
HCL
0.05%
Makefile
0.03%
HTML
0.01%
Mako
0.01%
Shell
0%

Topics

agents agi ai analytics artificial-inteligence business-intelligence databases llms mcp rag

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Related MCPs

Discover similar Model Context Protocol servers

  • mcp

    mcp

    Universal remote MCP server connecting AI clients to productivity tools.

    WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

    • 27
    • MCP
    • waystation-ai/mcp
  • awslabs/mcp

    awslabs/mcp

    Specialized MCP servers for seamless AWS integration in AI and development environments.

    AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

    • 6,220
    • MCP
    • awslabs/mcp
  • anyquery

    anyquery

    Universal SQL query engine for files, databases, apps, and LLM integration.

    Anyquery is a SQL query engine that enables users to run SQL queries on a wide array of data sources, including files, databases, and popular applications via plugins. It supports integrations with large language models (LLMs) through the Model Context Protocol (MCP), providing seamless access for AI models to query data. Built on SQLite, it extends functionality with a plugin system and can also function as a MySQL server for compatibility with conventional SQL clients. Its flexible installation options and broad plugin ecosystem allow extensive customization and integration.

    • 1,298
    • MCP
    • julien040/anyquery
  • 1mcp-app/agent

    1mcp-app/agent

    A unified server that aggregates and manages multiple Model Context Protocol servers.

    1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

    • 96
    • MCP
    • 1mcp-app/agent
  • mcpmcp-server

    mcpmcp-server

    Seamlessly discover, set up, and integrate MCP servers with AI clients.

    mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

    • 17
    • MCP
    • glenngillen/mcpmcp-server
  • mcp-server-js

    mcp-server-js

    Enable secure, AI-driven process automation and code execution on YepCode via Model Context Protocol.

    YepCode MCP Server acts as a Model Context Protocol (MCP) server that facilitates seamless communication between AI platforms and YepCode’s workflow automation infrastructure. It allows AI assistants and clients to execute code, manage environment variables, and interact with storage through standardized tools. The server can expose YepCode processes directly as MCP tools and supports both hosted and local installations via NPX or Docker. Enterprise-grade security and real-time interaction make it suitable for integrating advanced automation into AI-powered environments.

    • 31
    • MCP
    • yepcode/mcp-server-js
  • Didn't find tool you were looking for?

    Be as detailed as possible for better results