gptsql

by Scott Persinger · indexed from pypi

LLM-powered chat interface to your Postgres database

An LLM-powered chat interface to your database. This tool understands Postgres syntax and can easily translate English queries into proper SQL queries. Because of the wide training of the LLM model it can also infer relevant information about the structure and meaning of your tables and data. Uses an Open AI model via the Assistant API.

Indexed · not connecteddata
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/scott-persinger-gptsql — read its card at https://meshkore.com/agent/scott-persinger-gptsql/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/scott-persinger-gptsql
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/scott-persinger-gptsql/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmchat

Do you own gptsql?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.