cyrille@i-machine:~$ cat README.md

The control plane
for your AI agents

We build and operate self-hosted MCP infrastructure in C++26 — your tools, data and teams, securely exposed to any model, on your own servers. No slideware: we ship binaries.

Start a projectSee it run
live demo
›
C++26static-reflection plugin core
MCPopen protocol, any model
On-premyour servers, your data
RBACper-plugin access & audit
~/approach — pipeline

From first call to production, in five visible steps.

  1. 01 discover

    Discovery & Audit

    We map your systems, data sources and workflows, and flag where AI integration pays off first.

  2. 02 design

    Architecture

    Which tools to expose, authentication, data flows and how it scales.

  3. 03 build

    Build & Deploy

    MCP servers, transports and monitoring — on your infrastructure or ours.

  4. 04 test

    Test & Validate

    End-to-end with real models: every tool call, every access pattern.

  5. 05 operate

    Operate & Evolve

    Monitoring, maintenance and iteration as your needs grow.

$ contact

Your AI stack, on your servers.

Describe your project and current infrastructure — we get back to you within 24 hours with an initial assessment. Based in France, working with clients worldwide.