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"Queries for MySQL Database" matching MCP servers:

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    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.
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    Enables interaction with a MySQL database via JSON commands, supporting read-only queries, test execution of write queries, and table information retrieval through Docker.
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    MIT
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    A Model Context Protocol server that enables AI models to interact with both MySQL and MongoDB databases through a standardized interface, supporting comprehensive database operations including queries, schema management, and CRUD operations.
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    MIT
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    MySQL MCP Server enables Claude Desktop and Claude Code to execute SQL queries, explore databases, Webview to add or enable Databases, Connections, and interact with your MySQL data - all through a secure, permission-controlled interface.
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    MIT
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    A server that provides MySQL database operations through SSE (Server-Sent Events) based on the MCP (Model-Controller-Provider) framework, enabling real-time data transmission from MySQL databases.
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    MIT
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    A Model Context Protocol server that provides read-only access to MySQL databases, enabling LLMs to inspect database schemas and execute read-only queries.
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    MIT
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    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.
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    MIT
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    Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.
    Last updated
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    1,332
    MIT
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    Read-only MCP server for querying PostgreSQL, MySQL, and SQLite from AI agents — multi-database, safe by default.
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    Enables AI assistants to interact with both local SQL Server and Azure SQL Database through natural language, supporting queries, data manipulation, and schema operations with built-in security features.
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    Enables connecting to and querying multiple database types (PostgreSQL, MySQL, SQLite) through a unified interface. Supports managing multiple concurrent database connections with connection pooling and SQL query execution through MCP tools.
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    MIT
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    Enables AI models to perform MySQL database operations through a standardized interface, supporting secure connections, query execution, and comprehensive schema management.
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    MIT
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    Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.
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    3
    GPL 3.0