Safely perform MySQL operations with schema validation, CRUD, and soft deletes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mysql-mcp-toolkit" yet — see the docs or source repo.
After connecting to the MySQL database, first inspect the schema, then generate a read-only SQL query to count orders and revenue by region for the last 30 days, return the top 10 regions by revenue, and explain the fields.
A schema-validated safe query plus a clear summary of the aggregated regional results.
Based on the customers table schema, create a customer record with name 'Li Ming', email '[email protected]', and status 'active'; if the email already exists, update the status and last contact time, then return the execution result.
A schema-compliant insert or update result, with a note on which CRUD action was performed.
Find records in the logs table older than 180 days where environment is 'test'. Do not physically delete them; use a soft delete instead, and return the affected row count and rollback guidance.
A safe soft-delete result including affected scope, deletion flag behavior, and recovery advice.
Securely run MySQL queries and manage schemas with access control and logging.
Securely connect to and operate MySQL databases through the MCP protocol.
Securely connect AI to query, analyze, and manage MySQL databases.
Use natural language to manage databases, files, and GitHub workflows.
Run MySQL queries, manage databases, and switch project environments via MCP.
Interact with MySQL databases using natural language for queries and management.