XcodeBuildMCP
MCP ServerFreeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Capabilities17 decomposed
dual-mode tool invocation with unified implementation
Medium confidenceExposes 77 tools across 15 workflows through both MCP JSON-RPC server mode (for AI agents) and CLI mode (for direct invocation), with a shared implementation layer in build/cli.js that ensures identical behavior regardless of interface. The tool registry uses manifest-driven discovery to map workflow names to executable implementations, eliminating code duplication between modes.
Implements a single codebase that serves both MCP JSON-RPC and CLI interfaces through a shared tool registry, eliminating the need for separate implementations while maintaining environment-specific output formatting (JSON for agents, ANSI for terminals)
Unlike separate MCP servers and CLI tools that diverge over time, XcodeBuildMCP guarantees feature parity and consistent behavior across both interfaces through unified implementation
ios simulator lifecycle management with workflow automation
Medium confidenceProvides comprehensive simulator control through a dedicated Simulator Workflows module that handles device creation, booting, shutdown, and state management. The system tracks simulator state across sessions using session management tools and integrates with the background daemon to maintain long-running simulator instances without blocking agent execution.
Integrates simulator lifecycle management with session-based state tracking and background daemon support, allowing agents to boot simulators once and reuse them across multiple tool invocations without repeated initialization overhead
More efficient than invoking xcodebuild directly for each test because it maintains simulator state across invocations and provides high-level lifecycle abstractions rather than requiring agents to manage raw xcrun commands
ui automation and accessibility testing with xcuitest integration
Medium confidenceProvides tools to write and execute UI automation tests using XCUITest framework, with integration for accessibility testing and screen recording. The system captures test output, screenshots, and accessibility audit results in structured format.
Integrates XCUITest execution with accessibility auditing and screen recording, providing structured output that includes both test results and accessibility issues in a single workflow
More comprehensive than raw XCUITest because it combines test execution, accessibility auditing, and screen recording in a single tool, and provides structured output that agents can analyze programmatically
code coverage analysis and trend tracking
Medium confidenceGenerates code coverage reports from test execution, parses coverage data (line, branch, function coverage), and tracks coverage trends across builds. The system integrates with coverage tools like llvm-cov and provides JSON output with per-file and per-function coverage metrics.
Integrates coverage measurement with threshold enforcement and trend tracking, providing structured JSON output that allows agents to understand coverage gaps and enforce coverage policies in CI/CD
More actionable than raw coverage reports because it provides per-file coverage metrics, threshold enforcement, and structured output that agents can use to identify and fix coverage gaps
xcode ide integration and workspace navigation
Medium confidenceProvides tools to open projects in Xcode IDE, navigate to specific files and line numbers, and trigger Xcode actions (build, test, run) from the command line. The system uses AppleScript and Xcode's command-line tools to control the IDE programmatically.
Uses AppleScript to programmatically control Xcode IDE, allowing agents to open files at specific line numbers and trigger IDE actions without requiring manual user interaction
Enables hybrid workflows that combine automated CLI tools with interactive IDE development, whereas pure CLI tools cannot integrate with the IDE
project scaffolding and template generation
Medium confidenceProvides tools to generate new iOS and macOS projects from templates, with customizable project structure, dependencies, and build configurations. The system uses manifest-based templates to define project structure and automatically generates boilerplate code.
Uses manifest-based templates to generate new projects with customizable structure and dependencies, allowing agents to create new projects programmatically without manual Xcode interaction
More flexible than Xcode's built-in templates because it supports custom templates and programmatic generation, enabling agents to create projects with specific architectures and dependencies
swift package manager integration and dependency management
Medium confidenceProvides tools to manage Swift package dependencies, resolve package versions, and integrate SPM packages into Xcode projects. The system parses Package.swift files, queries package registries, and handles dependency resolution conflicts.
Integrates SPM dependency management with Xcode project integration, providing tools to add, update, and resolve package dependencies programmatically while maintaining compatibility with Xcode's dependency system
More comprehensive than raw swift package commands because it integrates with Xcode projects, handles version conflict resolution, and provides structured output for dependency analysis
environment-aware output formatting and platform detection
Medium confidenceAutomatically detects execution environment (CLI terminal, MCP JSON-RPC, CI/CD system) and formats output accordingly (ANSI colors for terminals, JSON for agents, plain text for CI/CD logs). The system uses environment variables and output stream detection to choose appropriate formatting.
Implements automatic environment detection and output formatting that adapts to execution context (CLI, MCP, CI/CD) without requiring explicit configuration, providing human-readable output in terminals and structured JSON for agents
More user-friendly than tools that require explicit output format flags because it automatically detects the execution context and formats output appropriately, improving usability across different environments
error recovery and retry logic with exponential backoff
Medium confidenceImplements automatic error recovery for transient failures (network timeouts, simulator crashes, device disconnections) using exponential backoff retry logic. The system classifies errors as transient or permanent and applies appropriate recovery strategies.
Implements error classification and exponential backoff retry logic that distinguishes between transient and permanent failures, automatically recovering from transient failures without requiring agent intervention
More resilient than tools without retry logic because it automatically recovers from transient failures, reducing manual intervention and improving overall workflow reliability
schema-validated tool parameter binding with type safety
Medium confidenceImplements schema validation and type safety through manifest-driven tool definitions that specify parameter schemas, input/output types, and platform constraints. The system validates all tool invocations against these schemas before execution, catching parameter mismatches early and providing structured error messages to agents.
Uses manifest-driven schema definitions to enforce type safety and parameter validation at the MCP boundary, preventing invalid tool invocations before they reach Xcode while maintaining a single source of truth for tool contracts
More robust than runtime parameter checking because validation happens before tool execution, and more maintainable than hardcoded validation because schemas are declarative and reusable across CLI and MCP modes
project discovery and xcode workspace introspection
Medium confidenceAutomatically discovers Xcode projects, workspaces, and Swift packages in the current directory and subdirectories, parsing project metadata (targets, schemes, build settings) without requiring manual configuration. The system maintains a project cache and provides tools to query available build targets, test schemes, and configuration options.
Combines filesystem scanning with Xcode project file parsing to automatically discover and cache project metadata, eliminating the need for agents to manually specify project paths or targets while maintaining a queryable project index
More comprehensive than xcodebuild -list because it discovers projects recursively, caches results for performance, and integrates with session management to remember project context across tool invocations
build execution with structured output and error capture
Medium confidenceWraps xcodebuild invocations with structured output parsing that captures build logs, compiler errors, warnings, and test results in JSON format. The system parses xcodebuild's unstructured output using regex patterns and structured logging, converting it into machine-readable JSON that agents can analyze and act upon.
Implements multi-layer output parsing (regex + structured logging) to convert xcodebuild's unstructured text into JSON with file/line/column precision, enabling agents to understand and fix compilation errors without manual log parsing
More actionable than raw xcodebuild output because it extracts structured error information with file paths and line numbers, and more reliable than simple regex parsing because it uses Xcode's structured logging when available
test execution with coverage and result aggregation
Medium confidenceOrchestrates test execution through xcodebuild test, capturing test results in JSON format with per-test pass/fail status, execution time, and failure reasons. The system integrates with code coverage tools to generate coverage reports and aggregates results across multiple test targets and schemes.
Integrates test execution, result parsing, and coverage measurement into a single workflow that outputs structured JSON with per-test granularity and coverage metrics, allowing agents to understand test failures and coverage gaps without parsing logs
More comprehensive than xcodebuild test because it aggregates results across multiple test targets, integrates coverage measurement, and provides structured output that agents can analyze programmatically
device and physical device management with provisioning
Medium confidenceProvides tools to list connected physical iOS/macOS devices, manage provisioning profiles, and deploy built apps to devices. The system integrates with Xcode's device management APIs to query device capabilities, installed apps, and provisioning status, and handles the provisioning workflow for code signing.
Abstracts physical device management and provisioning workflows into high-level tools that handle code signing and deployment without requiring agents to manage raw xcodebuild device specifiers or provisioning profile details
More user-friendly than raw xcodebuild device deployment because it provides device discovery, provisioning management, and error handling in a single workflow rather than requiring agents to manually specify device UDIDs and provisioning profiles
macos app building and code signing with entitlements
Medium confidenceProvides specialized build workflows for macOS applications that handle code signing, entitlements configuration, and notarization. The system manages macOS-specific build settings and integrates with Apple's notarization service for distribution-ready builds.
Specializes in macOS-specific build workflows with integrated code signing, entitlements management, and notarization support, handling the complexity of macOS distribution requirements that iOS builds don't require
More complete than generic xcodebuild invocations because it handles macOS-specific code signing, entitlements validation, and notarization in a single workflow rather than requiring separate manual steps
session-based state persistence across tool invocations
Medium confidenceImplements session management that persists tool state (selected project, simulator, device, build configuration) across multiple tool invocations without requiring agents to re-specify context. Sessions are stored in .xcodebuildmcp/sessions/ and automatically loaded based on session ID or environment variables.
Implements filesystem-based session persistence that allows agents to maintain context across invocations without requiring external state stores, using session IDs and environment variables for transparent context loading
More efficient than re-specifying context for each tool invocation because sessions cache project/device/simulator choices, reducing agent prompt complexity and improving tool invocation speed
background daemon for long-running simulator and build processes
Medium confidenceProvides a background daemon (xcodebuildmcp daemon) that runs long-lived processes like simulator instances and build servers without blocking agent execution. The daemon manages process lifecycle, handles signal forwarding, and provides status queries through a socket-based IPC interface.
Implements a background daemon with socket-based IPC that allows agents to boot simulators once and reuse them across multiple invocations, amortizing boot time and reducing overall execution time for multi-test workflows
More efficient than booting simulators for each test because it maintains persistent simulator instances across invocations, reducing total execution time by 30-50% for multi-test workflows
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with XcodeBuildMCP, ranked by overlap. Discovered automatically through the match graph.
XcodeBuildMCP
** - Popular MCP server that enables AI agents to scaffold, build, run and test iOS, macOS, visionOS and watchOS apps or simulators and wired and wireless devices. It has powerful UI-automation capabilities like controlling the simulator, capturing run-time logs, as well as taking screenshots and
XcodeBuildMCP
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
mobile-mcp
Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
xctools
** - 🍎 MCP server for Xcode's xctrace, xcrun, xcodebuild.
xcsimctl
** - 🍎 Manage Xcode simulators.
RocketSimApp
RocketSim — 30+ tools for Xcode's iOS Simulator. Testing, debugging, network monitoring, captures, accessibility, app actions, and AI agent automation via the RocketSim CLI. Used by 80k+ developers.
Best For
- ✓teams integrating AI agents into iOS/macOS development workflows
- ✓CI/CD systems that need both programmatic and agent-based access to build tools
- ✓developers building hybrid human-AI development environments
- ✓iOS developers automating simulator-based testing in CI/CD
- ✓AI agents building and testing iOS apps with minimal human intervention
- ✓teams running parallel simulator instances for multi-device testing
- ✓teams automating UI testing for iOS apps
- ✓developers ensuring accessibility compliance
Known Limitations
- ⚠Dual-mode design adds complexity to tool development — changes must be validated in both CLI and MCP contexts
- ⚠Context window optimization defaults to simulator-only tools; enabling all 77 tools may exceed agent token budgets
- ⚠TypeScript-only implementation — no native Python or Go bindings for alternative MCP clients
- ⚠Simulator management is resource-intensive — running multiple simulators simultaneously requires 8GB+ RAM and can exceed agent context windows
- ⚠Simulator state persistence requires explicit session management; transient agents without session support may lose simulator context between invocations
- ⚠iOS simulator availability is macOS-only; no support for Android or cloud-based simulators
Requirements
Input / Output
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Repository Details
Last commit: Apr 21, 2026
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A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
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