"MySQL" matching MCP servers:

Governed MySQL + MariaDB DBA operations — slow-query, lock-wait/deadlock, replication, and fragmentation RCA, with unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Provides AI agents a secure MCP interface to a single MySQL or MariaDB database, enabling schema inspection, read-only queries, query planning, and guarded write operations with strict safety controls.

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.

Enables AI agents to safely interact with MySQL/MariaDB databases, supporting read-only queries by default with optional write operations and access control.

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.

Read-only SQL across PostgreSQL, MySQL, S3-compatible buckets and folders of Parquet, CSV and JSON files — and one query can join across all of them, federated in-process by DuckDB. Sources are given as connection strings at startup, and no tool writes: they are absent rather than disabled.

Read-only, PII-masked MCP server for querying data federated through DuckDB — list sources/tables, inspect schemas, and run SQL across Postgres, MySQL, SQLite, Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract. Snowflake, BigQuery, Excel, and files, governed per source/table/column by a charter.yaml contract.

Zero-config data quality monitoring as MCP tools. Profiles a warehouse (Postgres, BigQuery, Snowflake, MySQL, DuckDB), detects anomalies, and gates CI — read-only with the connection resolved server-side, never via the model.

Connect any AI to PostgreSQL, MySQL, or SQL Server — 24 dialect-aware tools for query, schema, optimization, and more.

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.

MCP server for Sqemo, a web-based ERD tool with team naming standards. 34 tools: read/edit entities, attributes, and relationships; generate physical names from a shared glossary and naming rules; SQL (7 dialects) and DBML import/export; ERD lint, diff, and ALTER generation.

Enables AI assistants to interact with multiple SQL databases (PostgreSQL, MySQL, SQL Server, SQLite, Trino) through MCP, reusing existing DBeaver connections for queries, schema management, and transactions, with SSH tunneling and read-only mode support.

An easy-to-use bridge that lets AI assistants like Claude and Cursor IDE directly query and explore Microsoft SQL Server databases. No coding experience required!

Reviewed Postgres and MySQL business actions for MCP agents, without exposing raw execute_sql.

Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.

A read-only MCP server for Microsoft SQL Server that enables metadata discovery, parameterized queries, and query analysis with profile-based configuration and strict no-DML/DDL enforcement.

A Model Context Protocol server that enables natural language queries to MySQL databases, powered by XiYanSQL text-to-SQL technology.