What are the prerequisites for using the server?
Node.js 18+, Xcode, and an iOS Simulator (or physical device). SwiftLint is optional for linting.
@a-25
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"ios-mcp-code-quality-server": {
"command": "npx",
"args": [
"-y",
"ios-mcp-code-quality-server@0.1.4",
"server"
],
"type": "stdio"
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Ios Mcp Code Quality Server is a dual‑mode tool for analyzing iOS code quality. It runs Xcode tests and SwiftLint linting, producing structured, actionable reports. It operates as a direct CLI tool for developers or as an MCP (Model Context Protocol) server for AI assistant integration.
Use npx ios-mcp-code-quality-server to run CLI commands (e.g., test, lint) with arguments, or start the MCP server by providing no arguments. The server listens on http://localhost:3000 and can be configured via environment variables. AI assistants connect using a JSON configuration that points to the server URL.
Node.js 18+, Xcode, and an iOS Simulator (or physical device). SwiftLint is optional for linting.
If command‑line arguments are provided, it runs as a CLI tool. If no arguments are given, it starts as an MCP server.
Yes, use `npx ios-mcp-code-quality-server` – no global install is needed and you always get the latest version.
The server listens on HTTP at `localhost:3000` (port configurable via the `PORT` environment variable).
The README lists environment variables for `ALLOWED_HOSTS`, `RATE_LIMIT_WINDOW_MS`, and `RATE_LIMIT_MAX_REQUESTS`, but no authentication mechanism is described.

Verified cyber-physical AI tools. 25 MCP tools, x402-payable on Base.

DrUrls audits websites for SEO, and its MCP server lets Claude, ChatGPT, Claude Code, Cursor or VS Code work with those audits directly: list your sites with their latest score and grade, read each issue across SEO, perf

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.
コメント