What this is. A demo of
schemagate, running entirely in this browser tab on six
invented example schemas. It is not connected to any database and does not call any AI model.
The real thing is pip install schemagate, which runs on your own database.
The one thing to see. A user only gets the tables they are allowed to see — before the model
writes any SQL.
Selected–
Prompt tokens–
Saved vs full schema–
What that is worth
at queries/day and
$/M input tokens:
– → – per month on schema tokens, – saved
your numbers, your prices — this only multiplies the token counts above. Savings grow with schema size: the 260-object test schema is 97%.
pre-written examples of what a model would produce — no model is called on this page. With your own key,
cat.describe(...) generates these for real.
Selected objects
What the model receives
Hidden from this caller
These exist in the catalog but never reach the prompt for this identity. Not de-ranked — absent.
Backup and staging copies demoted
A copy carries the same name words in a shorter document, and cosine similarity rewards exactly that. These are ranked below the object they shadow — unless you name them outright.
Use it from Python
pip install schemagate
from schemagate import Catalog, Principal
cat = Catalog().bootstrap("postgresql://localhost/app")
cat.select("revenue by month",
principal=Principal("okta:jdoe", roles={"finance"}))Use it from Claude Desktop, Cursor, any MCP client
pip install 'schemagate[mcp]' SCHEMAGATE_DATABASE_URL=postgresql://localhost/app \ python -m schemagate.mcp_server
Run this studio on your own database
pip install schemagate schemagate studio --url postgresql://localhost/app
Same page, your schema, nothing leaves your machine. github.com/ashishsinha1602/schemagate · Apache-2.0 · Ashish Sinha