Multi-Cloud MCP: One Protocol to Manage Them All
Using MCP to create a unified interface for managing resources across AWS, GCP, and Azure, eliminating the cognitive overhead of cloud-specific CLIs and consoles
- mcp
- cloud
Applied AI in Autonomous Systems
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Essays on autonomous agents, systems architecture, technical leadership, and the work of making software dependable.
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Using MCP to create a unified interface for managing resources across AWS, GCP, and Azure, eliminating the cognitive overhead of cloud-specific CLIs and consoles
Google's Agent-to-Agent protocol and Anthropic's Model Context Protocol are complementary, not competing, and together they define the agent infrastructure stack
The Model Context Protocol is evolving from a specification into an ecosystem, and the marketplace model will define how AI agents access the world
Introducing Loki Mode, a multi-agent autonomous system for Claude Code with 41 agent types across 8 swarms
MCP marketplaces are emerging as the next platform battleground, and the winner will define how AI agents access the world
How I built 25+ production-grade MCP servers and what I learned about shipping AI infrastructure at speed
A deep dive into the Model Context Protocol and why it is the most important infrastructure standard for the AI agent era
Launching LokiMCPUniverse, a collection of enterprise-grade MCP servers that give AI agents access to real tools and infrastructure
The emergence of structured tool use and function calling in LLMs points toward a protocol-driven future for AI integration