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"Information about MySQL database system" matching MCP servers:

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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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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    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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    Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.
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    Secure and token-efficient MySQL MCP server built specifically for AI agents. Prevents hallucinations, optimizes context windows and blocks dangerous queries.
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    MIT
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    Enables AI assistants to explore MySQL database schema — tables, columns, foreign keys, indexes, and relationships — through structured tools and resources, without any write access.
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    MIT
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    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.
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    A production-grade MySQL MCP Server that enables AI assistants to securely and efficiently operate MySQL databases through a standardized protocol.
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    Comprehensive Model Context Protocol server for MySQL databases featuring 191 specialized tools for CRUD operations, JSON functions, spatial/GIS, schema management, performance monitoring, and advanced features like OAuth 2.1 authentication and connection pooling.
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    Enables AI applications to interact with MySQL databases through a secure interface, allowing database exploration, querying, and analysis with proper error handling and logging.
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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.
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    MIT