Swift Developer MCP Server

The Swift Developer MCP Server bridges the gap between AI assistants and real‑world Swift development environments. By exposing a rich set of build, test, debugging, package management, and toolchain operations through the Model Context Protocol, it allows assistants to orchestrate complete Swift workflows without leaving the conversational interface. This eliminates repetitive shell commands, centralizes context about a project’s structure, and gives AI agents the same level of control that developers have in Xcode or the terminal.

At its core, the server offers a suite of tool endpoints that map directly to Swift tooling commands. Build tools such as and let an assistant compile projects or run tests with fine‑grained configuration—choosing targets, toggling debug/release modes, or enabling verbose output. Debugging tools (, , etc.) provide a full interactive debugging experience: the assistant can launch a target, set conditional breakpoints, step through code, and inspect variables. Package‑management tools expose dependency trees and public APIs, enabling AI agents to reason about third‑party libraries or suggest refactors that preserve external contracts.

Beyond tooling, the server exposes resources that represent static project metadata: gives a snapshot of the current package layout, while and provide real‑time status feeds. These resources allow an assistant to answer questions like “What is the build history of this module?” or “Which breakpoints are active in the current session?” without needing to parse logs manually.

Real‑world use cases abound. A developer can ask an assistant, “Run the unit tests for in release mode and show me any failures,” and the server will execute the appropriate command, stream results back, and even invoke the prompt to surface common failure patterns. In a continuous‑integration scenario, an AI bot could monitor , trigger rebuilds on code changes, and automatically open a debugging session when a test crashes. For teams managing multiple Swift toolchains, , , and related commands let the assistant switch Swift versions on demand, ensuring consistent environments across macOS and Linux hosts.

What sets this MCP server apart is its full‑stack Swift focus. Unlike generic build servers, it understands the nuances of Swift’s package manager, Xcode toolchains, and the intricacies of debugging across platforms. Coupled with intelligent prompts such as and , it turns an AI assistant into a proactive development partner that can not only execute commands but also provide context‑aware guidance, error analysis, and best‑practice recommendations—all within the conversational flow.