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Connect to MySQL and PostgreSQL and run SQL queries dynamically.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SQL MCP Server" yet — see the docs or source repo.
Connect to a PostgreSQL database using my connection details, then run this SQL: SELECT date_trunc('day', created_at) AS day, COUNT(*) AS orders, SUM(amount) AS revenue FROM orders WHERE created_at >= CURRENT_DATE - INTERVAL '7 days' GROUP BY 1 ORDER BY 1;Returns daily order counts and revenue for the last 7 days.
Connect to a MySQL database and run this SQL: SELECT id, email, status, created_at FROM users ORDER BY created_at DESC LIMIT 20;
Returns the latest 20 records from the users table for quick inspection.
Use a runtime connection to PostgreSQL and run a simple query: SELECT NOW();
Returns the current database time to confirm connectivity and query execution.
Developers or data analysts can connect to MySQL or PostgreSQL when needed and run SQL queries directly to retrieve business data or investigate issues.
When an AI assistant needs structured data, this MCP tool provides runtime database connections and query execution, reducing manual export steps.
DevOps engineers or developers can dynamically connect to different database instances across environments and use SQL tools for checks and validation.
The provided description says it supports MySQL and PostgreSQL. No additional database support is stated.
Yes. The original description explicitly says it allows runtime database connections and SQL queries via tools.
No installation or configuration details are provided here. For setup steps, credentials, or runtime requirements, see the source repository.
Manage MySQL databases with natural language for queries, CRUD, and monitoring.
Connect to PostgreSQL and MySQL, run SQL, and manage database transactions.
Connect AI to MySQL for safe querying, SQL execution, and database management.
Securely query and analyze multiple databases with natural language across systems.
Securely connect AI assistants to SQL Server for queries, analysis, and admin tasks.
Use natural language to query and modify MySQL databases automatically.