"A database management system named MySQL" matching MCP servers:

Enables secure MySQL database operations through natural language with built-in safety features. Supports SELECT queries by default while providing configurable restrictions for INSERT, UPDATE, and DELETE 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 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.

Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.

MCP server for multiple databases (PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis) with tools for schema inspection, querying, performance diagnostics, and safe write operations, featuring access modes, PII masking, and audit logging.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

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.

Enables LLM agents to perform CRUD operations across multiple databases including PostgreSQL, MySQL, and SQL Server using SQLAlchemy. It features configurable permission management and secure connection handling with automatic password redaction.

MCP server for querying and managing multiple databases (SQLite, PostgreSQL, MySQL) with read-only mode and schema inspection.

A SQL Server CLI and MCP server for Claude Code that supports standard SQL Server authentication for database interaction and management. It enables users to perform schema exploration, execute queries, and manage data records with built-in SQL injection prevention.

Enables LLMs to interact with MySQL databases through standardized protocol, supporting database management, table operations, data queries, and modifications with configurable permission controls.

Offline PostgreSQL diagnostics: reviews SQL, risky migrations, candidate indexes and EXPLAIN JSON plans without database credentials or executing statements.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

Enables interaction with MySQL databases (including AWS RDS and cloud instances) through natural language. Supports database connections, query execution, schema inspection, and comprehensive database management operations.

Governance framework for LLM agents. Exposes seven mechanically-enforced rules plus tools for preflight file protection, audit-chain verification, session handoff and worklog templates, MCP config auditing, and an emergency kill switch.

Connect and interact with MySQL databases seamlessly. Execute SQL queries, manage database connections, and retrieve data directly through AI assistants. Enhance your AI capabilities with structured access to your MySQL data.

Enables interaction with MySQL databases (including AWS RDS and cloud instances) through natural language, supporting query execution, schema inspection, index management, and comprehensive database operations with secure SSL connections.

A Model Context Protocol server that allows AI agents to execute SQL queries against a MySQL database, supporting operations like reading data, creating tables, inserting, updating, and deleting records.

Provides MySQL database connectivity and schema inspection tools, allowing users to connect to MySQL databases and retrieve table structures through configurable connection parameters.

Enables AI models to perform MySQL database operations through a standardized interface, supporting secure connections, query execution, and comprehensive schema management.

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.

A Claude integration that enables updating various database types (PostgreSQL, MySQL, MongoDB, SQLite) from CSV and Excel files through natural language commands.

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 LLMs to inspect MySQL database schemas and execute read-only queries via the Model Context Protocol.

A secure and efficient MCP server for MySQL database operations, enabling LLMs to execute SQL queries with read-only access by default and optional write permissions.

Enables searching and retrieving public-transport feed metadata from MobilityData's open catalogue, including GTFS schedule and realtime feeds with operator URLs, licenses, and bounding boxes.

Enables Claude to query and manage databases (SQLite, SQL Server, PostgreSQL, MySQL) through natural language, supporting read/write operations and schema management.

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 interaction with MySQL databases through MCP, supporting query execution, table operations (insert, update, delete), and schema inspection for natural language database management.

Provides AI assistants with read-only access to inspect database schemas, preview data, and run safe queries across PostgreSQL, MySQL, MongoDB, and SQL Server. It enables AI tools to understand database structures and relationships automatically to generate more accurate code.