A Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.
Enables secure interaction with MySQL databases through MCP, offering tools for SQL queries, schema inspection, and data sampling, with support for multiple databases, SSH tunnels, and safe write operations.
Security-hardened, read-only MySQL MCP server that enables safe, read-only access to MySQL databases for running SELECT queries, exploring schemas, and sampling data via MCP clients.
Secure and token-efficient MySQL MCP server built specifically for AI agents. Prevents hallucinations, optimizes context windows and blocks dangerous queries.
A lightweight, multi-environment MySQL MCP server that provides secure, policy-gated database access through simplified query and execution tools. It enables AI agents to interact with multiple database environments safely using environment-based routing and strict security constraints.
Enables read-only MySQL database connectivity, allowing execution of SELECT queries, listing tables, and describing table structures via natural language.
Enables AI assistants to explore MySQL database schema — tables, columns, foreign keys, indexes, and relationships — through structured tools and resources, without any write access.
A read-only MySQL MCP server supporting stdio, SSE, and Streamable HTTP transports, enabling secure querying and schema inspection of MySQL databases from MCP clients.
Enables querying and managing PostgreSQL and MySQL databases through natural language, supporting connection management, query execution, schema inspection, and parameterized queries with connection pooling.
A Model Context Protocol server for MySQL databases that enables AI assistants to query schemas, execute SQL with permission controls, and manage databases through standardized tools.
Enables LLMs to interact with MySQL databases through standardized protocol, supporting database management, table operations, data queries, and modifications with configurable permission controls.
Enables AI agents to query and manage MySQL databases through a structured MCP interface, supporting SQL execution, table inspection, and database operations.
Enables connecting to and querying MySQL databases directly from Cursor IDE, with support for executing SQL queries, listing databases and tables, inspecting schemas, and managing connections with SSL and connection pooling.