Unleash Generative AI on Your MariaDB Data
Natively integrate vector search, LLMs, and standard SQL operations through the Model Context Protocol (MCP) to build the next generation of intelligent applications.
MCP provides a standardized way for language models and other AI systems to interact with external tools and data sources. The open source and model-agnostic MCP Server implements this protocol, ensuring a consistent and reliable method for AI assistants and applications to request information and perform operations. This approach streamlines the development and deployment of AI-integrated systems by enabling seamless communication between AI models and various data sources.
Why MariaDB MCP Server
The MariaDB MCP Server is engineered to provide a robust MCP interface specifically for MariaDB. Its primary objective is to facilitate seamless interaction between AI models and MariaDB databases, supporting both standard relational data operations and the increasingly vital vector search capabilities required for modern AI applications. Designed with AI agents in mind, it simplifies data workflows and enhances the ability to integrate database interactions into intelligent systems.
Standard Database Operations
Provide fundamental control and insight into your MariaDB environment by allowing AI agents to safely query relational data.
- Discover accessible databases and enumerate tables.
- Retrieve the detailed schema for a specific table so an AI model can understand the data structure.
- Execute read-only SQL queries (
SELECT,SHOW,DESCRIBE) with support for parameterized queries to enhance security. - Enable the creation of new databases.
The Engine Behind the Intelligence: Embeddings
Embeddings allow the server to understand semantic meaning. The MariaDB MCP Server integrates a flexible embedding service to generate these vectors.
Broad provider support
Works out of the box with leading embedding providers, including OpenAI, Google Gemini, and open models from HuggingFace.
Flexible model selection
Configure a default embedding model for your instance or specify a model on the fly for any request, allowing you to balance cost, performance and quality.
Supercharge Your Workflow: AI-Native IDE Integration
Bridge the gap between development and data. Connecting the MariaDB MCP Server with AI-native IDEs like Cursor and Windsurf makes your database a native component of your coding environment.
This integration allows you to interact with MariaDB using natural language directly within your editor – whether to run a standard SQL query or perform a complex vector search. There’s no need to switch to a separate database client, reducing friction and keeping you in a state of flow.
Built for Developers, AI Engineers and DBAs
Choosing a native management solution over a collection of third-party tools provides some distinct advantages.
For developers
Leverage a streamlined path to building AI-powered features. The standardized MCP interface reduces the complexity of interacting with both relational data and vector embeddings, especially when integrated with AI code editors.
For AI/ML engineers
Simplify the integration of MariaDB data into your AI/ML pipelines. Native vector search lets you build sophisticated RAG systems, semantic search engines and recommendation systems directly on top of existing databases.
For database administrators
Maintain governance and control while empowering teams with AI capabilities. The MCP Server provides a secure, manageable gateway for AI applications to interact with your databases.
Get Started with the MariaDB MCP Server
Run MariaDB MCP Server anywhere. Get started with our open source version, deploy in your own data center with our robust Enterprise Server, or let us handle the management for you with MariaDB Cloud. Integrating the MariaDB MCP Server into your environment is straightforward.
Prerequisites
Ensure you have Python 3.11, uv (our recommended dependency manager), and access to a MariaDB server. Alternatively, for a quick start, run a Docker image that includes Python, uv and MCP Server.
Configuration
Manage all key settings via environment variables in a .env file. This includes your database connection parameters and embedding provider API keys.
Installation & launch
Clone the repository, install dependencies with uv pip sync, and launch the server. You’re ready to connect your AI applications.
Try MCP Server for Free
MariaDB Cloud MCP Server
Streamline your AI development workflow by securely connecting tools like Cursor, Claude, and VS Code Copilot directly to your live databases in the cloud. The MariaDB Model Context Protocol (MCP) Server acts as an intelligent bridge, transforming complex database interactions into intuitive, natural language conversations. Now you can query data, programmatically manage serverless instances, and get context-aware answers from AI Agents—all without ever leaving your favorite development environment.
This seamless integration dramatically accelerates application development and boosts productivity for both developers and DBAs. By enabling AI Agents to operate directly within your trusted MariaDB environment, you get highly accurate, context-aware insights without the security risks of moving sensitive data.
