Nice, but can somebody tell me if this performs better than my simple Postgres MCP using npx? My current setup uses the LLM to search through my local Postgres in multiple steps. I guess this Pgmcp is doing multiple steps in the background and returns the final result to the LLM calling the MCP tool?
Shameless plug: I literally built a desktop app that does the exact same thing, but, with any data file you throw at it. CSV, Json, Excel and Parquet... all supported. And processing happens without your files being uploaded to LLM provider.
cahaya|5 months ago
Codex: ``` [mcp_servers.postgresMCP] command = "npx" args = ["-y", "@modelcontextprotocol/server-postgres", "postgresql://user:password@localhost:5432/db"] ```
Cursor: ``` "postgresMCP": { "command": "npx", "args": [ "-y", "@modelcontextprotocol/server-postgres", "postgresql://user:password@localhost:5432/db" ] }, ```
With my setup i can easily switch between LLM's
oulipo2|5 months ago
eg the agent could actively monitor memory/cpu/time usage of a query and cancel it if it's taking too long?
freakynit|5 months ago
https://zenquery.app
coderinsan|5 months ago
mistrial9|5 months ago
fosk|5 months ago