Go MCP Server Ecosystem
Collection of production MCP servers in Go — iCloud, Todoist, Notion, Home Assistant — connecting AI agents to real tools and data.
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$ whoami
Roy Gabriel
DevOps Architect · Applied AI Engineer
From embedded firmware to AI agent orchestration, I ship systems that keep working — under pressure.
01.
What I Build
AI Agent Systems
Production LLM systems and multi-agent orchestration in Go. MCP servers that connect AI to real tools and data.
Infrastructure & Platform
Kubernetes, GitOps, and SRE at scale. The foundation production AI runs on.
Architecture & Strategy
Two decades of systems design across multiple domains — building at every layer of the stack.
Featured Work
Cruvero — AI Agent Ecosystem Platform
Production multi-agent orchestration platform built in Go, coordinating LLM-powered agents for complex business workflows.
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Temporal Workflow Systems for SRE
Durable workflow orchestration using Temporal for SRE automation — incident response, infrastructure provisioning, and operational runbooks.
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Kubernetes & GitOps Infrastructure
Production Kubernetes platform with GitOps delivery, automated scaling, and comprehensive observability across multiple environments.
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03.
The Journey
2004 – 2008
Embedded Foundations
Where software meets hardware. Firmware that had to work the first time, every time.
Embedded Systems
Military Service
2008 – 2014
Software Engineering
Full-stack engineering across security and fintech. Learned what production systems actually need.
Security
Fintech
Software Engineering
2014 – 2018
Technical Product Ownership
Crossed from engineering into product — learned to align architecture with real outcomes.
Product
Business Services
2018 – 2022
Senior Software Architecture
Designed platforms at enterprise scale — built systems teams build on.
Architecture
Security
Fintech
2022 – Present
DevOps Architecture & Applied AI
Bringing two decades together — production AI, Go systems, and reliable platforms.
AI/LLM
DevOps
Go
MCP
Roy Gabriel
DevOps Architect · Applied AI Engineer
I've spent 20 years building systems across embedded firmware, security platforms, fintech, and enterprise architecture. Today I focus on production AI systems in Go — multi-agent orchestration, MCP server ecosystems, and the DevOps platforms that keep them running. I care about systems that work under pressure: observable, recoverable, and built to last.
05.
Most AI prototypes ship in Python. I ship production AI systems in Go.
Prototypes are cheap. Production is expensive — latency budgets, deploy footprint, operational load, and failure modes matter.
Go’s concurrency model, performance profile, and single-binary deploy story make it a strong fit for production AI systems that must run continuously and predictably.
My work lives where AI meets production reality: reliable platforms, durable workflows, and tooling that can take real traffic.
06.
Contact
If you have a question or want to connect, send a message here.