XcodeBuildMCP and mac_messages_mcp

These are ecosystem siblings within the macOS automation space—one provides build and project management capabilities for iOS/macOS development while the other enables LLM access to system data (iMessages), both operating as MCP servers that can be composed together in agent workflows.

XcodeBuildMCP
85
Verified
mac_messages_mcp
70
Verified
Maintenance 23/25
Adoption 20/25
Maturity 25/25
Community 17/25
Maintenance 10/25
Adoption 17/25
Maturity 25/25
Community 18/25
Stars: 4,681
Forks: 222
Downloads: 73,599
Commits (30d): 40
Language: TypeScript
License: MIT
Stars: 248
Forks: 37
Downloads: 1,449
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

About XcodeBuildMCP

getsentry/XcodeBuildMCP

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.

Exposes granular build introspection tools—project parsing, scheme enumeration, build logs, and diagnostics—via stdio transport to integrate with AI agents in Cursor, Claude, VS Code, and Xcode's native assistants. Operates as both a standalone CLI and MCP server, eliminating the need for separate installations. Built on Node.js with native Xcode 16+ integration for accurate project metadata and real-time build feedback to LLM-powered coding workflows.

About mac_messages_mcp

carterlasalle/mac_messages_mcp

An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.

Implements stdio-based MCP transport with direct SQLite access to macOS Messages database, requiring Full Disk Access permissions. Supports cross-platform delivery through intelligent iMessage/SMS detection and automatic fallback, plus Docker container integration via mcp-proxy for HTTP bridging. Built with Python 3.10+ and distributed via PyPI for seamless installation with the uv package manager.

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