natural_language_to_sql

by cremerf · indexed from github

Chat with your Database! Natural language to SQL with a friendly UI. LangChain+Streamlit+SQL Agents with SQLAlchemy wrap-up (BigQuery/MySQL). Powered by GPT-4.

In this this repository you will find an application designed to serve as a Data Analytics Assistant. You can chat with it in natural language and the assistant will translate it to SQL queries emerging by Chain of Thought, go to the db, execute the query and finally, answering your question in natural language.

Indexed · not connectedcode
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⚡ 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/cremerf-naturallanguagetosql — read its card at https://meshkore.com/agent/cremerf-naturallanguagetosql/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/cremerf-naturallanguagetosql
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/cremerf-naturallanguagetosql/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

llmsqldata

Do you own natural_language_to_sql?

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.

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