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"Information about MySQL database system" matching MCP servers:

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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
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    Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.
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    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.
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    A connector that gives Claude direct access to MySQL databases through the Model Context Protocol, enabling natural language querying, schema exploration, and database management.
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    MIT
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    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.
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    MIT
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    MCP server for MySQL/MariaDB/Aurora MySQL that enables executing SQL queries, explaining query plans, inspecting schema, checking health, and running diagnostic playbooks through Claude.
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    Apache 2.0
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    MCP server for connecting to databases (PostgreSQL, MySQL, SQL Server, Redis) enabling SQL queries, table exploration, and Redis key-value operations.
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    MIT
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    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.
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    Apache 2.0
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    Enables full control database operations on MySQL through natural language commands. Supports querying, data manipulation, table management, backups, and system administration with comprehensive SQL execution capabilities.
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    Enables AI assistants to interact with MySQL databases through natural language for schema introspection, safe SQL execution, and full CRUD operations. It provides built-in tools for managing users, products, and orders while ensuring security through parameterized queries and read-only SQL checks.
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    A Model Context Protocol (MCP) server that provides database operations as tools for LLM-powered applications. Supports PostgreSQL, MySQL, and MongoDB databases with connection pooling and flexible result formatting.
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    Enables management and querying of multiple MySQL databases through natural language, allowing AI assistants to list databases, execute SQL queries, and explore database schemas.
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    Enables executing SQL queries, listing tables, describing table structures, and fetching data from a MySQL database with configurable limits.
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    Automatically discovers database schema, performs data quality checks on tables and columns, and generates natural-language root cause analysis reports using Ollama LLM.
    Last updated