Laurent Broudoux

Today, we're shipping reShapr 1.0.0, 202 days and 20 releases after our first commit.

1.0.0 isn't a release stuffed with new features. It's a stability gate: the point where we're confident enough in reShapr's API, its security posture, and its behavior under load to make a promise: from here on, we won't break you without a major version bump.

A few months ago, we started experimenting with a new idea through a project called Micepe. The idea was simple but powerful: What if existing APIs could instantly become MCP tools usable by AI agents without writing glue code?

How reShapr Makes the Model Context Protocol Production-Ready?​

If you’re aiming to build AI‑native applications faster without sacrificing security or overhauling existing infrastructure, reShapr offers a transformative edge. Here are six compelling use cases showcasing how organizations leverage reShapr to streamline API enablement, accelerate prototyping, and securely integrate AI into production.

Why Enterprises Shouldn’t Build MCP Servers from Scratch, and What to Do Instead​

The AI-native era is here. Whether you’re integrating copilots into internal workflows, building LLM-powered agents for customer service, or exposing organizational knowledge to a retrieval-augmented generation (RAG) stack, the foundation is the same: (your) APIs.

But there’s a major roadblock that nearly every enterprise hits.