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Rubens Rafael
Rubens Rafael

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

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.

Demo

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.

Try it

It's live at 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.

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