Cloudflare's Matt Carey isn't just building tools; he's re-architecting how AI agents interact with the world. MCP, it turns out, might have been misunderstood all along.
Forget blind trust. One API provider is airing its dirty laundry, publishing a startlingly low 11% hit rate to its AI agent clientele.
Exposing internal services often means wrestling with firewalls and NAT. Caddy-mcp offers a clever way to tunnel private MCP servers securely, entirely over QUIC, with fine-grained access control.
Forget the flashy keynotes for a moment. Google Cloud just made connecting AI agents to your production databases shockingly simple, potentially solving a massive pain point for developers.
Google's Gemini CLI promises smooth MCP dev on AWS EKS. But after 20 years watching Valley smoke, I smell AWS meter running. Here's the no-fluff path.
Claude Code hides a smart three-layer extension system. Hooks enforce basics; MCP plugs tools; Skills craft workflows—pick wrong, and you're debugging chaos.
Three weeks in, 107 downloads per week isn't exploding — but it's telling. Thicket's MCP calculators expose a hunger for precise, deterministic tools inside Claude and Cursor.
Picture this: You tell an AI to sift through your sales CSV, create a GitHub issue, or query your Postgres DB — and it just does it. MCP makes that real for TypeScript builders, slashing integration hell.