XcodeBuildMCP
Enables AI agents to directly interact with Xcode build systems, reducing manual intervention loops and accelerating iOS/macOS development cycles by automati…
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
- Automate iOS app builds and capture compilation errors for debugging.
- Generate build logs and analyze test failures across multiple macOS targets.
- Ask Claude to identify performance issues in Xcode project build configuration.
Enables AI agents to directly interact with Xcode build systems, reducing manual intervention loops and accelerating iOS/macOS development cycles by automating build configuration and dependency management tasks.
iOS and macOS development teams integrating AI-assisted coding workflows into their Xcode-based projects.
https://github.com/getsentry/XcodeBuildMCP
By getsentry
How to Get It
claude mcp add XcodeBuildMCP -- npx -y xcodebuildmcp@latest
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me automate iOS app builds and capture compilation errors for debugging
Trust Signals Auto-scanned
Data & Access
Community Pulse Active
Discussed on Hacker News, Reddit
- Complete Claude Code setup guide for iOS/Swift development - Extended thinking, — Reddit · 116 pts
- How does XCode 26.3's built in MCP server compare to XCodeBuildMCP? — Reddit · 38 pts
- I created a comprehensive Claude Code setup guide for iOS development - PRD work — Reddit · 29 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 6,248 GitHub stars; 49 contributors; last commit 6d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 6,248 GitHub stars; 49 contributors; last commit 6d ago; license MIT.