A lightweight MCP server providing safe, read-only access to MySQL databases. It enables users to query multiple MySQL instances securely while preventing write operations.
A tool that provides simple API to execute SQL queries and manage MySQL databases, designed to integrate with Cursor IDE for AI assistants to directly perform database operations.
A connector that gives Claude direct access to MySQL databases through the Model Context Protocol, enabling natural language querying, schema exploration, and database management.
A specialized MySQL MCP server for Cursor that enables users to query table structures, execute SQL, and generate database documentation. It features multiple security modes to ensure safe interaction while providing tools for database overviews and query caching.
Enables AI assistants to securely connect to and manage MySQL databases with support for multiple database connections, complete CRUD operations, schema inspection, and dynamic connection management through natural language.
Enables interaction with MySQL databases through MCP tools for querying table structures, searching data across single or multiple tables, and managing database information. Built with FastMCP framework for secure database operations using environment-based configuration.
Enables secure interaction with MySQL databases through listing tables, reading data, and executing SQL queries with proper error handling and controlled access.
Enables direct interaction with MySQL databases through SQL queries, table exploration, and schema inspection with support for prepared statements and connection pooling.
Enables AI assistants to securely interact with MySQL databases through tools for query execution, schema inspection, and transaction management. It features built-in safety controls like row limits and query validation to ensure safe and standardized database access.
Enables AI agents to safely interact with MySQL/MariaDB databases, supporting read-only queries by default with optional write operations and access control.
A Model Context Protocol service that enables AI assistants to directly query and manage MySQL databases through natural language. It supports SQL execution, schema inspection, and atomic transactions for comprehensive database interaction.
Enables LLMs to query and analyze data across multiple MySQL databases with enterprise data federation, intelligent caching, cross-system analytics, and automated schema discovery for comprehensive business intelligence.
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.
A Model Context Protocol server that enables agents to execute SQL queries against a MySQL database, supporting operations like SELECT, CREATE TABLE, INSERT, UPDATE, and DELETE with results returned in JSON format.
A lightweight server for executing SQL queries and inspecting schemas across multiple MySQL database connections. It provides tools for managing persistent connection configurations and exploring database structures through natural language.
Enables AI models to interact with MySQL databases through a standardized interface, supporting queries, data manipulation, table inspection, and query performance analysis with secure prepared statements.
A tool that connects to local MySQL databases and enables large language models (LLMs) to execute SQL queries through the Model Context Protocol (MCP).
Provides MySQL database integration for AI assistants and other MCP clients, allowing them to list tables, read table data, and execute SQL queries.
Enables AI assistants to manage MySQL databases through natural language commands. Supports database operations, table management, data queries, and import/export functionality with built-in security features.
An MCP server for MySQL that enables users to execute SQL queries, inspect table structures, and explore database schemas through a clean, SOLID-based architecture. It includes built-in security validations to protect against dangerous operations and ensure safe interaction with database resources.