XcodeBuildMCP
Overview
XcodeBuildMCP is a Model Context Protocol (MCP) server and CLI tool for agent use in iOS and macOS project development.
Capabilities
- • prompt templates
- • github integration
- • mcp client integration
- • workflow automation support
Best For
XcodeBuildMCP: MCP server and CLI for agent tools in iOS/macOS projects.
Decision Snapshot
Install
detected in docs
Usage
detected in docs
Docs
8 links
Config
2 strong hints
Capabilities
4 key capabilities detected
- • GitHub stars: 5206
- • Forks: 245
- • Source provenance count: 1
- • Active signal: Updated this week from lifecycle signals.
- • Last seen: 4/15/2026
- • Published: 3/15/2026
Features
- • Getting started: docs/GETTING_STARTED.md
- • CLI usage: docs/CLI.md
- • Configuration and options: docs/CONFIGURATION.md
- • Tools reference: docs/TOOLS.md
- • Troubleshooting: docs/TROUBLESHOOTING.md
- • Privacy: docs/PRIVACY.md
- • Skills: docs/SKILLS.md
- • Contributing: docs/dev/CONTRIBUTING.md
Use Cases
- • Capability coverage: prompt templates; github integration.
Supported Clients / Integrations
- • prompt templates
- • github integration
- • mcp client integration
- • workflow automation support
Compatibility Signals
- • GitHub: supports (Detected in parser config/capability hints.)
Notes / Requirements
- • Primary language: TypeScript
- • License: MIT
- • Documentation coverage: high
- • Parser coverage score: 1.00
- • Source provenance includes GitHub discovery
- • Source feeds: GitHub Search API
- • Topic cluster: general
Official Links
Source Information
You can verify all information on this page against the source repository above.
Related MCP Tools
metamcp
metamcp is an MCP aggregator, orchestrator, middleware, and gateway packaged in a Docker container.
mcp-for-beginners
An open-source curriculum introducing Model Context Protocol (MCP) fundamentals through cross-language examples, focusing on practical techniques for building modular, scalable, and secure AI workflows.
firecrawl-mcp-server
Firecrawl MCP Server is the official integration of Firecrawl's web scraping and search capabilities into the MCP ecosystem. It enables AI assistants to search the web, scrape individual pages (including JavaScript-rendered content), and extract structured data from websites. Editor's Review: This is one of the most capable MCP servers for web data retrieval. Firecrawl's strength is handling modern websites that rely on client-side JavaScript rendering—a common pain point with traditional HTTP-based scraping. The MCP integration makes these capabilities accessible to any MCP-compatible AI assistant. For AI research workflows that need to gather information from the live web, firecrawl-mcp-server is an essential tool. Configuration requires a Firecrawl API key, and rate limits depend on your subscription tier.
exa-mcp-server
Exa MCP Server provides AI-native web search capabilities to MCP-compatible assistants. Unlike traditional search APIs that return keyword-matched results, Exa uses neural search to understand query intent and retrieve semantically relevant content. Editor's Review: Exa is particularly valuable for AI research and discovery workflows where you need to find conceptually relevant information rather than exact keyword matches. The neural search approach surfaces results that traditional search would miss, making it excellent for exploratory research tasks. Setup is straightforward with an Exa API key. The server handles rate limiting and pagination automatically. For AI assistants that need to research topics, generate reports, or find relevant resources across the web, Exa MCP Server is a significant capability upgrade over basic keyword search.
What To Do Next
Continue from this tool into a workflow and a learn guide to shorten implementation time.