I built a no-code backend that gives AI agents an MCP tool for real business logic

A developer built Calamo, a no-code backend that lets users define Postgres tables and workflows visually, then publish them as MCP tools or REST endpoints for AI agents. The tool aims to bridge the gap between raw database access and real business logic, allowing agents to perform actions like checking inventory or processing orders without writing server code.

I kept running into the same annoyance building agent side projects: giving an agent DB access is easy, but the moment it needs real business logic — check inventory, process an order, apply a rule — I was back to writing and hosting a small server just for that one action. So I built Calamo : you define objects Postgres tables and actions workflows visually, then publish an action as an MCP tool your agent can call directly, or as a plain REST endpoint if you'd rather call it from regular code. https://www.youtube.com/watch?v=6l4rlK88wrg https://www.youtube.com/watch?v=6l4rlK88wrg In the video: I create an object, build a query action, publish it as an MCP tool, and connect it to Claude — which calls the tool live and returns real data. No servers, no code. Most tools that give agents database access Supabase's MCP server, for example stick to raw SQL — this is meant for the layer above that. It's live at calamo.dev https://calamo.dev . Mostly curious if this is solving a real problem for people building agent workflows, or if I'm missing something obvious — feedback and skepticism welcome.