Best used with an AI agent

40+ live apps, open data APIs, MCP servers, and 200+ guides - more than anyone wants to click through. Point your AI here and it reads the whole map and does the work: finds the tool, pulls the data, runs the analysis, and hands you the links.

Here for the open-source code? Your agent finds the right repo for you - and can even clone and deploy it.

Prefer to explore on your own? Go right ahead.

Paste this to Claude Code, Codex, or any AI agent:
Go to tigzig.com and read tigzig.com/llms.txt. It is a practitioner toolkit - 40+ analytics apps, open no-auth data APIs, MCP servers, open-source repos (github.com/amararun), and 200+ build guides. Help me [your task]. Surface the exact links; where there is an API or MCP, call it directly; and if I want to self-host, find the repo and help me deploy it.

Database AI & SQL Agent - Connect to any database on-the-fly. Live. Open Source

Published: September 1, 2025

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A short demo of the core text-to-SQL workflow in my DATS-4 suite (open source). Connect to any database (MySQL/Postgres) on-the-fly, explore, and analyze with natural language.

DATS-4 is live at www.tigzig.com

Path: Database AI & SQL Apps -> DATS-4 (Database AI Suite -v4.)

The process is direct:

  1. Dump your credentials into the text box. The format doesn't matter; a credential-parsing AI step standardizes it to a valid JSON object.

  2. Start asking questions in natural language.

  3. Transform the data: summarize, merge, create new tables, and export the results.

The agent flow is designed for full transparency. It shows its work: the complete reasoning, the SQL it generated, and the final results in tables and charts. It's an auditable process.

Live app, source codes and field guide at link above