A unified MCP server for querying and managing multiple database types (PostgreSQL, MySQL, SQL Server, etc.) via natural language through AI assistants.
An MCP server that enables AI assistants to interact with Kubernetes clusters by translating natural language into kubectl and Helm operations. It allows users to query, manage, and diagnose Kubernetes resources and cluster states through a seamless integration.
A production-ready MCP server for MySQL database integration with AI agents, enabling database exploration, CRUD operations, schema management, and performance monitoring through natural language.
A Model Context Protocol (MCP) Server that allows AI models to securely interact with data hosted in Azure Database for PostgreSQL. It enables natural language querying, schema exploration, and data management through MCP clients like Claude Desktop and Visual Studio Code.
A universal MCP server enabling AI assistants to query and manage six database engines (Postgres, Redis, Elasticsearch, MySQL, MongoDB, LDAP) through 113+ tools with read-only safety and fault tolerance.