MariaDB

About

The MariaDB tool offers a Model Context Protocol (MCP) interface to interact with MariaDB databases, facilitating both standard SQL operations and advanced vector-embedding based searches. It is specifically engineered to enable AI assistants to seamlessly manage relational and vector databases, supporting AI-driven data workflows by providing a structured way to access and manipulate data. Users can perform typical database tasks like schema retrieval and query execution, alongside creating and searching vector stores for semantic document similarity.

Key Features

• Manage and query MariaDB databases via a standardized MCP interface
• Support for standard SQL operations (read-only queries, schema retrieval)
• Create and manage vector stores for embedding-based search
• Integrate with multiple embedding providers (OpenAI, Gemini, HuggingFace)
• Perform semantic search on stored documents using embeddings
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Use Cases

• Integrating AI assistants with relational and vector databases for data management
• Enabling AI-driven data workflows that require both structured and unstructured data access
• Performing semantic search over database content for document similarity