Documentation and guides from the team at Fly.io.

Fly.io offers insights into edge computing, serverless architecture, and global content delivery network (CDN), providing documentation, tutorials, and best practices for deploying and scaling applications at the network edge. By exploring Fly.io's curated content, developers can learn about Fly's edge computing platform, distributed application runtime, and HTTP/2 load balancing for building fast, secure, and scalable web applications. Whether you're optimizing latency for global users, offloading compute-intensive tasks, or deploying microservices, Fly.io offers resources to supercharge your application performance and reliability.

Fly.io

Fly.io has added MCP (Model Context Protocol) support to Sprites, their disposable cloud VM product, allowing AI agents like Claude, Gemini, and Codex to spin up and manage Sprites directly. The post is candid that MCP is not the preferred integration method — the team argues CLI tools and discoverable APIs are more efficient because they reveal capabilities progressively and avoid bloating agent context with unused tool descriptions. MCP is offered as a fallback for agents that can't run shell commands. The post also advocates for giving agents real computers with persistent filesystems over stateless sandboxes, and includes guardrails like org-scoped authentication, Sprite count caps, and name prefixes to keep agent-created VMs manageable.

Unfortunately, Sprites Now Speak MCP