MySQL MCP Server Pro
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- FlicenseNot gradedqualityDmaintenanceEnables comprehensive MySQL database operations including cross-database queries, performance analysis, health monitoring, and AI-assisted database management with role-based access control.-
- AlicenseAqualityDmaintenanceEnables comprehensive MySQL database operations including CRUD, performance optimization, health monitoring, index analysis, lock detection, and SQL execution plan analysis with role-based permission control.9MIT
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- AlicenseCqualityDmaintenanceEnables monitoring and administration of MySQL databases through natural language, supporting multiple simultaneous connections, health checks, and full DDL/DML/DCL operations.3926 npmMIT
- AlicenseAqualityCmaintenanceEnables 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.813 npm8MIT
- AlicenseBqualityDmaintenanceEnables 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.1512 npm1MIT
TDQS
Scored across 9 tools
Most tools have distinct purposes, such as execute_sql for running queries, get_table_desc for table structures, and optimize_sql for performance tuning. However, some tools like get_db_health_index_usage and get_db_health_running could be confused as both relate to database health, though their specific focuses differ (index usage vs. general health status).
The naming follows a consistent verb_noun pattern with snake_case, such as execute_sql, get_table_desc, and optimize_sql. There is a minor deviation with get_chinese_initials, which uses a different verb style (get_chinese instead of something like convert_chinese_initials), but overall the pattern is clear and readable.
With 9 tools, the count is well-scoped for a MySQL database management server. Each tool serves a specific function, from basic SQL execution to advanced health monitoring and optimization, covering essential operations without being overwhelming or sparse.
The toolset provides strong coverage for database operations, including query execution, schema exploration, health monitoring, and performance optimization. A minor gap exists in CRUD operations for data manipulation (e.g., insert, update, delete), but the core database management and analysis workflows are well-supported.