{"repo":"MariaDB/mcp","free":true,"listed":false,"github":"https://github.com/MariaDB/mcp","clone":"git clone https://github.com/MariaDB/mcp.git","description":"MariaDB MCP (Model Context Protocol) server implementation","language":"Python","stars":189,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"MCP MariaDB Server The MCP MariaDB Server provides a Model Context Protocol (MCP) interface for managing and querying MariaDB databases, supporting both standard SQL operations and advanced vector/embedding-based search. Designed for use with AI assistants, it enables seamless integration of AI-driven data workflows with relational and vector databases. --- Table of Contents - Overview - Core Components - Available Tools - Embeddings & Vector Store - Configuration & Environment Variables - Security Considerations - Installation & Setup - Usage Examples - Integration - Claude desktop/Cursor/Windsurf - Logging - Testing --- Overview The MCP MariaDB Server exposes a set of tools for interacting with MariaDB databases and vector stores via a standardized protocol. It supports: - Listing databases and tables - Retrieving table schemas - Executing safe, read-only SQL queries - Creating and managing vector stores for embedding-based search - Integrating with embedding providers (currently OpenAI, Gemini, and HuggingFace) (optional) --- Core Components - server.py : Main MCP server logic and tool definitions. - config.py : Loads configuration from environment and .env files. - embeddings.py : Handles embedding service integration (OpenAI). - tests/ : Manual and automated test documentation and scripts. --- Available Tools Standard Database Tools - list databases - Lists all accessible databases. - Parameters: None - list tables - Lists all tables in a specified database. - Parameters","default_branch":null,"files":null,"tree":[],"storefront":"/r/MariaDB","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MariaDB/mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}