The risk of letting AI do more than autocomplete? It can quickly spin out of control.
On this episode of AI Native Dev, Steve Manuel (
@nilslice), founder and CEO of
@dylibso, unpacks MCP, the protocol that keeps AI extensions safe and predictable, and dives into
mcp.run, his framework for tapping into shared MCP servers without losing control.
With
@sjmaple he shares:
• why plugin-safe AI might be the most significant shift in developer tooling this decade
• how
mcp.run isolates compute to prevent AI-driven code from being unpredictable, letting developers experiment without risk
• the practical and surprising ways web-connected agents expand what applications can do, from automating workflows to integrating new capabilities
• why first-party code remains essential even in an AI-native world
(00:00) Trailer
(01:32) Deep Dive into MCP Architecture
(04:50) Trust and Security in MCP Servers
(21:11) Managed vs. Self-Hosted MCP Servers
(26:48) Understanding Serverless and MCP Servers
(29:10) Developing and Deploying on
mcp.run
(33:20) Security and Authentication in MCP
(38:31) Future of MCP and AI Innovations