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Let AI query MySQL data and inspect schema through a standard interface.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mysql-mcp" yet — see the docs or source repo.
Connect to MySQL, list the databases I can access, and show all tables in the sales database.
A list of accessible databases and the tables inside the sales database.
Describe the schema of the users table, including column names, types, and nullability.
A schema description of the users table to help understand the data model.
Run this SQL: SELECT region, COUNT(*) AS order_count FROM orders GROUP BY region ORDER BY order_count DESC;
Query results showing order counts grouped by region.
Developers or analysts can ask AI to list databases, tables, and schemas to quickly understand a MySQL environment. This is useful when inheriting an older project or starting data exploration.
When users know what they want to retrieve but do not want to write every SQL statement manually, they can use AI with this tool to run queries. It fits basic analysis, validation, and ad hoc data lookups.
DevOps or developers can inspect tables and schemas first to verify whether expected columns exist and whether structures match expectations. This reduces back-and-forth manual database inspection.
It lets AI assistants interact with MySQL through a standardized interface. Known capabilities include running SQL queries, listing databases and tables, and describing table schemas.
Based on the provided description, it supports query and schema-inspection tasks such as executing SQL, listing databases and tables, and describing table structures. For more details, see the source repository.
The provided material does not include installation steps or environment requirements. At minimum, a reachable MySQL database is likely needed; for other prerequisites, see the source repository.
Query, inspect, and manage MySQL databases through a structured MCP interface.
Securely query MySQL with natural language, schemas, tables, and read-only SQL.
Read multiple MySQL databases, inspect schemas, and run safe SELECT queries.
Interact with MySQL databases using natural language for queries and data operations.
Query MySQL databases, inspect schemas, and fetch data with configurable limits.
Use natural language to query and modify MySQL databases automatically.