mysql-mcp
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- AlicenseNot gradedqualityDmaintenanceEnables AI tools to interact with MySQL databases through natural language, including schema browsing, queries, CRUD operations, with destructive actions gated behind user approval.14 npmMIT
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- AlicenseNot gradedqualityDmaintenanceEnables read-only access to MySQL databases through natural language queries. Provides automatic table schema discovery and executes SELECT, SHOW, DESCRIBE, and EXPLAIN statements within secure read-only transactions.MIT
- AlicenseCqualityDmaintenanceEnables monitoring and administration of MySQL databases through natural language, supporting multiple simultaneous connections, health checks, and full DDL/DML/DCL operations.3911 npmMIT
- FlicenseNot gradedqualityBmaintenanceEnables AI clients to securely access and query MySQL databases using natural-language prompts, converting them into structured queries and returning clean results.-
- AlicenseNot gradedqualityCmaintenanceEnables users to ask plain-English questions against MySQL, PostgreSQL, SQLite, SQL Server, Oracle, and MariaDB databases by auto-detecting schemas and converting requests into safe, read-only SQL queries.MIT
TDQS
Scored across 14 tools
Each tool has a clearly distinct purpose, from listing databases and tables to describing schemas, querying, writing, and executing DDL or transactions. No two tools overlap in functionality.
All tool names follow a consistent verb_noun snake_case pattern (e.g., list_databases, describe_table, write_query), making it easy for an agent to predict functionality.
With 14 tools covering database introspection, data manipulation, schema changes, and transaction support, the set is well-scoped for a MySQL MCP server—neither too few nor too many.
The toolset provides comprehensive coverage for common MySQL operations: listing objects, describing schemas, read/write queries, DDL, transactions, and explain plans. No obvious gaps for typical usage.