
Miko leads growth at Metorial, where he helps enterprises give their teams one governed way to connect AI to their systems. He looks at growth from the engineering side, and spends most of his time with IT and security leaders turning stalled AI rollouts into adoption people can actually trust.
I built an internal agent to clean up our CRM. It worked great — until a friend asked me what it was actually authorized to do. When I went and looked, I realized I had handed an autonomous process admin credentials with no expiry, no scoping, and no audit log. This is that story, written down plainly.
Metorial and Composio both help developers connect AI agents to real-world tools, but they optimize for different things. Composio is strong for broad, fast connectivity. Metorial is the stronger choice for teams that want easy prototyping, open-source flexibility, and a better long-term platform for MCP-powered integrations in production.
The Model Context Protocol (MCP) has become the standard for connecting AI agents to enterprise systems, with 62% of organizations already experimenting with AI agents. However, hosting MCP servers presents significant infrastructure challenges. This guide explores the critical requirements for enterprise-grade MCP hosting—scalability, security, observability, and cost-efficiency—and introduces Metorial as the leading serverless platform designed to solve these challenges, offering over 600 pre-built MCP servers and a robust, scalable, and secure environment for your AI applications.