MariaDB Unlocks Your Data for Secure, Enterprise-Grade Agentic with MariaDB AI RAG and MariaDB Enterprise MCP Server

As VP of Product at MariaDB, I get to see firsthand how our teams are innovating to solve our customers’ most complex data challenges. I am incredibly excited to share some great news with our customers and community – news that marks a significant leap forward in our mission to be the database foundation for the modern, AI-driven enterprise.

We all see the promise of generative AI. It’s set to revolutionize every industry. But for enterprises, this promise comes with two massive challenges:

1. Trust: How do you stop GenAI models from “hallucinating” and ensure they provide accurate, trustworthy answers based on your private data?

2. Access: How do you securely and efficiently connect these powerful AI models to your proprietary, real-time databases without creating complex, custom and siloed integrations?

In 2025, we’ve taken a major step forward in powering AI-driven applications with the introduction of a native vector data type and HNSW indexing earlier this year – bringing high-performance, low-latency vector search natively into the database. Benchmarks show performance on par with leading vector databases, with up to 2X faster indexing and semantic search than pgvector in independent benchmarks. Building on this, our open source MariaDB MCP Server, released in May 2025, connects AI agents and LLMs directly to MariaDB for seamless retrieval and reasoning over live enterprise data.

As part of our recent MariaDB Enterprise Platform 2026 release, we’ve introduced two groundbreaking technologies: MariaDB AI RAG (Beta) and the MariaDB Enterprise MCP Server.

Step 1: Solving the Trust Problem with MariaDB AI RAG

Enterprises are eager to adopt AI, but a model that “hallucinates” (makes up facts) isn’t just unhelpful; it’s a liability. This is where retrieval-augmented generation (RAG) comes in. RAG is an AI framework that grounds GenAI models in reality by enabling them to first look up facts in your own private databases before answering a question. This means more accurate, trustworthy responses that have access to your private customer data.

The problem? Setting up RAG is notoriously complex. It often involves stitching together intricate pipelines of vector databases, retrievers and LLM integrations.

MariaDB AI RAG simplifies the entire process.

We offer an all-in-one, “in-a-box” package that makes it easy to deploy RAG and use your existing MariaDB database with GenAI. We call it “RAG without the plumbing.”

This solution manages the entire pipeline – data ingestion, chunking, embedding, indexing and retrieval – significantly reducing development effort.

Key Benefits of MariaDB AI RAG:

• Simplified integration: Eliminates the complex RAG setup, offering simple and scalable GenAI integration.
• Vendor consolidation: Reduces the number of technologies needed. You get one trusted vendor for RAG enablement and a database with native vector support.
• Developer-friendly: Leverages a simple REST API interface that allows app developers to harness GenAI without needing deep AI or SQL expertise.
• Native vector search: Integrates directly into MariaDB for fast, efficient performance.
• Hybrid search: Delivers more accurate and contextually relevant search results by combining full-text and vector search methods with built-in re-ranking. 
• Flexible & secure: Deploys in the cloud or on-prem, keeping your data within your database. It’s compatible with major LLMs like OpenAI, Google Gemini, Anthropic and Hugging Face.
• Stable & secure: Operates as a separate, self-contained binary, ensuring your core MariaDB server remains untouched, stable and secure.

With AI RAG, your existing MariaDB database immediately gains GenAI capabilities, ready to power everything from GenAI-driven customer support FAQs to complex compliance analysis.

Step 2: Solving the Access Problem with MariaDB MCP Server

MariaDB AI RAG makes your data “AI-ready” and trustworthy, but how do your AI agents securely and universally access it?

Today, AI integrations are custom-built, slowing innovation and creating data silos. AI models lack a standard, real-time way to access proprietary data.

That’s why we’re introducing the MariaDB Enterprise MCP Server, a secure gateway for enterprise AI agents.

MCP stands for Model Context Protocol, an open standard we are championing. Think of it as the “JDBC for AI.“ Just as JDBC created a universal standard for Java applications to talk to any database, MCP defines a universal language for AI to securely interact with any tool or data source.

The MariaDB MCP Server is our enterprise-grade implementation of this standard. It’s an intelligent context provider that acts as a secure data adapter for any AI model to use MariaDB. It translates an AI’s abstract request (e.g., “get Q3 revenue”) into safe, structured operations, like a SQL query or an API call. It even supports discovery, allowing an AI agent to programmatically ask, “What data can you provide?”

The Real Magic: How AI RAG and MCP Server Work Together

This is where our vision comes together. The MCP Server isn’t just for running simple SQL queries. It’s the single, secure gateway for all AI interactions, including our new RAG capabilities.

The MariaDB MCP Server offers:

• Core tools (available 24/7): These allow AI to perform standard database operations (list_databases, execute_sql) and powerful vector operations (create_vector_store, search_vector_store).
• Conditional tools (when AI RAG is enabled): These tools expose the entire AI RAG pipeline. An AI agent can securely call rag_ingestion to add new documents or rag_generation to get a fully formed, AI-powered answer.

This integration empowers developers and enterprises to build fully functional, data-backed AI applications with unprecedented speed and security.

What This Means for You

This two-part solution is a game-changer for our customers:

• For developers: You can add powerful, accurate AI features faster than ever. No more plumbing, just simple APIs.
• For AI engineers: You can build more powerful and capable tools that are securely grounded in real-time enterprise data.
• For DBAs & architects: You get to deliver more value from your data with a security-first solution (data never leaves your control) that lowers TCO by building on your existing MariaDB deployment and ensures core database stability.
• For the business: You get trustworthy AI, faster innovation, and the ability to finally unlock the true value of your proprietary data.

This is more than just a new feature set; it’s a new foundation for the future. We are committed to making MariaDB the most trusted, secure and developer-friendly database for the enterprise AI revolution.

Thank you for being on this journey with us. We can’t wait to see what you’ll build.