What is the purpose of MCP Template?
It serves as a reference implementation and template that can be forked or cloned to jumpstart your own MCP server development, showing how to use `mcp-swift-sdk` in a minimal way.
@adamwulf
基本情報
A barebones MCP server implementation in Swift using loopwork-ai's mcp-swift-sdk.
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": {
"mcp-template": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"<absolute_path_to_your_executable>",
"run"
]
}
}
}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。
MCP Template is a barebones foundation for building Model Context Protocol (MCP) servers using Swift. It demonstrates minimal integration with the mcp-swift-sdk and is intended for macOS applications and command line tools.
Add the package to your Package.swift dependencies, then import EasyMCP to register tools and start the server. The included command-line executable mcpexample offers a hello command for a basic demo and a run command to start a full MCP server with stdio transport. For debugging, use the MCP Inspector by running npx @modelcontextprotocol/inspector <path_to_executable> run.
run commandmcp-swift-sdkIt serves as a reference implementation and template that can be forked or cloned to jumpstart your own MCP server development, showing how to use `mcp-swift-sdk` in a minimal way.
It requires `swift-argument-parser` 1.3.0+ and a custom fork of `mcp-swift-sdk` (branch "feature/wait-for-complete").
Currently it supports stdio transport for MCP interaction. SSE (Server-Sent Events) support is planned but not yet implemented.
It is a barebones example with only a "hello world" tool; SSE server and App Store safe stdio communication are not yet available. It targets macOS and uses a custom SDK fork.
Build the executable in Xcode, locate it via Product → Show Build Folder, then run the MCP Inspector with `npx @modelcontextprotocol/inspector <path> run`. Attach the debugger in Xcode to step through breakpoints.

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

Agent-Native Terminal

Kaiva Bridge turns your API, database or documents into a managed MCP server for Claude, ChatGPT, Cursor and VS Code. Point it at an OpenAPI or Swagger spec, an API docs link, a cURL command, a Postman collection, a Grap

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

Free enterprise-grade due diligence for the app you built, run by your own coding agent: 118 read-only checks plus an 18-dimension review, scored 1-5 with file-and-line evidence and a report page behind an access code. N
コメント