By providing a simple JSON configuration file to describe your data structure, the system generates for you: ā¢ šš®šššš£š šš®š°šøš²š»š±: A full CRUD API implementation based on your JSON schema. ā¢ š£š¼ššš“šæš²š¦š¤š šš®šš®šÆš®šš²: Production-ready, with an Alembic migration system built-in (fully trackable by Git). ā¢ š¦š²š°ššæš¶šš: Production-ready JWT authentication built-in. ā¢ šš¹š¼šš± šš»š³šæš®šššæšš°šššæš²: Fully managed and production-ready with built-in staging and
Cross-referenced across 55 tracked directories
#8616
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
1/25/2026
First Seen
Recently added to the ecosystem
Jeremiah Lowin
The fast, Pythonic way to build MCP servers and clients.
grafana
šļø š š āļø - Search dashboards, investigate incidents and query datasources in your Grafana instance
59b9f352-8cdc-44d3-9dd9-db3bfa521880
No description available
datalayer
š š - Model Context Protocol (MCP) Server for Jupyter.