Hello everyone!
I’m searching for Model Context Protocol (MCP) implementations that can handle database operations with MySQL and PostgreSQL. My main goal is to enable Roo to retrieve data from these databases and perform updates as needed.
I’ve been exploring different options but haven’t found a solid recommendation yet. The setup needs to support both read operations (SELECT queries) and write operations (INSERT, UPDATE, DELETE) across both database systems.
Has anyone worked with MCPs for database connectivity before? What solutions have you found reliable for this type of integration? Any suggestions or experiences you could share would be greatly appreciated.
Thanks in advance for your help!
i’ve tried fastmcp too - it works great! also, mcp-database-server is a good option as it supports both mysql and postgres. but keep an eye on connection pooling when traffic is high.
Been there with a similar setup. Those MCP packages work, but I wasted too much time managing connections, timeouts, and debugging queries.
Switching to Latenode changed everything for my database ops. No more wrestling with MCP configs - I just set up automated workflows that handle MySQL and PostgreSQL seamlessly.
Latenode handles connection pooling automatically. No timeout headaches or connection limit issues. I built flows for read/write operations across multiple databases with built-in error handling and retries.
For audit logging - Latenode tracks everything by default. Every database operation gets logged with timestamps and results. You can set up notifications for slow or failed queries too.
The visual workflow builder makes complex database operations easy without tons of code. I have flows that pull from PostgreSQL, transform data, then update MySQL tables - all automated.
Best part? Rock solid reliability. Been running database workflows in production for months without the maintenance headaches from traditional MCP setups.
Check it out: https://latenode.com
I just tried the mcp-db-connector package with MySQL and PostgreSQL - worked pretty well. Setup was easy, but I hit some timeout issues at first. Had to tweak the connection settings to fix that. Watch out for transaction handling though - your MCP needs to handle rollbacks properly when things go wrong. I’d recommend testing with a small dataset before going full scale. Performance has been solid for us. Handles simple queries and complex joins without breaking a sweat. Docs aren’t great but the community’s helpful when you get stuck.
We’ve been running database-mcp in production for 8 months with MySQL and PostgreSQL backends. Setup was a pain - authentication and SSL configs took forever to get right, but it’s been rock solid since. Do yourself a favor and validate queries on the MCP side first. We didn’t and got burned by poorly formed queries that killed performance. Also watch your connection management - don’t let idle connections pile up. Write operations work great, but definitely add audit logging for INSERTs/UPDATEs/DELETEs. It’s handled our workload fine overall. Just keep an eye on query execution times as your data grows.