Browse all content in the Database Integration category
The Apache IoTDB MCP Server enables seamless integration of the IoTDB time-series database into AI workflows, allowing AI assistants and developer tools to execute SQL queries, explore schemas, and handle metadata operations directly from FlowHunt and other LLM-powered environments.
The MotherDuck MCP Server bridges AI assistants and IDEs with DuckDB and MotherDuck databases, enabling powerful SQL analytics through a unified interface. It supports hybrid execution, serverless data exploration, and seamless integration with local and cloud data sources.
The MySQL MCP Server provides a secure bridge between AI assistants and MySQL databases. It enables structured database exploration, querying, and data analysis through a robust Model Context Protocol (MCP) interface, supporting safe integration into AI workflows.
The OceanBase MCP Server bridges secure AI interactions with OceanBase databases, enabling tasks like listing tables, reading data, and executing SQL queries in a controlled environment. It enhances safe database access, analysis, and reporting for AI workflows with robust logging and granular access control.
The XiYan MCP Server enables natural language interaction with databases via advanced text-to-SQL (XiYan-SQL), letting developers and AI assistants query, update, and extract data without direct SQL. Streamline data-driven workflows, automate analysis, and build intelligent applications with seamless language-to-database integration.
The YugabyteDB MCP Server bridges AI assistants and YugabyteDB databases, enabling secure, read-only data exploration and schema analysis through standardized Model Context Protocol (MCP) interfaces. Ideal for developers seeking simple, safe, and powerful AI-driven database access.
