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You can build CLIs for both humans and AI agents by using a typed, envelope-based framework that enforces type-safety for command schemas and supports agent discovery across multiple transports like HTTP and MCP.

Agent discovery in a command-line framework allows automated agents to dynamically find and interact with CLI tools via Skills, MCP integrations, and HTTP/Fetch transports, enabling cross-environment usage without manual endpoint configuration.

Yes, you can enforce type safety for CLI arguments and options by defining typed command schemas that validate inputs and outputs at the framework level, preventing runtime errors before command execution begins.

Yes, the framework provides built-in tooling for MCP integration and fetch gateways, enabling cross-transport capabilities so your CLI commands can be executed over HTTP or MCP alongside standard command-line execution.

To generate router-style CLIs with structured outputs, use a middleware-driven command execution framework that supports typed schemas, enabling reliable single-command and router-style workflows with agent-discovery features.

No, you do not need additional dependencies for shell completions because the framework provides streamlined tooling for skill generation and shell completions directly within its core feature set.