MariaDB
0
Exposes MariaDB databases and vector stores through a Model Context Protocol (MCP) interface for AI assistant integration.
概要
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.
主な機能
- 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
- 0 GitHub stars
ユースケース
- 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