About
A Model Context Protocol server that builds and tests Xcode workspaces or projects, enabling seamless integration with Visual Studio Code extensions such as Cline or Roo Code.
Capabilities
The xcodebuild MCP Server bridges the gap between AI assistants and iOS development workflows. It exposes a lightweight, protocol‑compliant interface that allows tools such as Claude or other MCP‑enabled assistants to invoke Xcode’s build and test commands directly from within a code editor like Visual Studio Code. By packaging the complex logic of behind a simple, declarative API, the server removes friction for developers who want to automate or script their iOS build pipelines without leaving their AI‑augmented environment.
At its core, the server offers two primary tools: and . Each tool accepts a single required parameter, , which points to the directory containing the Xcode workspace or project. When invoked, the server runs the corresponding command against that folder, capturing output, exit codes, and any build artifacts. The results are then returned to the AI client in a structured format that can be parsed or displayed inline. This abstraction is especially valuable when working on large workspaces, as the server handles path resolution and command execution transparently.
Key capabilities include:
- Seamless integration with Visual Studio Code extensions such as Cline or Roo Code, enabling developers to trigger builds or tests from the editor’s command palette while an AI assistant interprets logs or suggests fixes.
- Consistent output handling, ensuring that build failures, warnings, and test results are reported in a machine‑readable form for downstream processing or summarization by the assistant.
- Cross‑platform support via a simple Python package, so teams can run the same MCP server on macOS, Linux, or Windows environments where Xcode is available.
Real‑world scenarios that benefit from this server are plentiful. A mobile engineer can ask an AI assistant to “build the current project and report any errors,” receiving an instant, concise summary. A continuous‑integration pipeline can invoke the tool to run unit tests on a pull request, with the AI assistant automatically generating issue tickets for failing cases. In pair‑programming sessions, the assistant can suggest code changes that resolve compilation errors identified by the server’s output.
What sets xcodebuild MCP apart is its minimal footprint and zero configuration overhead for the end user. Once installed, the server can be hooked into any MCP‑compatible client with a single JSON entry, making it a drop‑in solution for teams that already use AI assistants. Its open‑source MIT license further encourages customization—developers can extend the toolset to support additional Xcode commands or integrate with other CI services without licensing constraints.
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