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MCP Server

@kattatzu-resources

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

kattatzu-resources

MCP Server について

A clean architecture MCP server implementation with support for multiple transports (SSE and STDIO). Provides extensible tools, resources, and prompts following SOLID principles for real-time AI model communication.

MCP Server の設定

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-server-kattatzu-resources": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "node",
        "build/index.js"
      ]
    }
  }
}

MCP Server のツール

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。

概要

What is MCP Server?

A robust, standard-compliant implementation of the Model Context Protocol (MCP) supporting SSE and STDIO transport for real-time communication with AI models. Built on Clean Architecture and SOLID principles, it enables extensible tools, resources, and prompts for developers.

How to use MCP Server?

Clone the repository, install dependencies with yarn, and build the project. Start the server with yarn start (or yarn rebuild for dev). Configure port via the PORT environment variable (default 3001). Use the MCP Inspector for testing: run npx @modelcontextprotocol/inspector node build/index.js and access http://127.0.0.1:6274.

Key features of MCP Server

  • Full, standard-compliant Model Context Protocol implementation
  • Dual transport support: SSE (HTTP) and STDIO (CLI)
  • Clean Architecture with SOLID principles
  • Extensible tools, resources, and prompts
  • Comprehensive logging, error handling, and testing support
  • Developer-friendly API with TypeScript and dependency injection

Use cases of MCP Server

  • Building real-time communication channels between AI models and web applications via SSE
  • Integrating MCP into CLI tools or local applications using STDIO transport
  • Rapidly prototyping and testing MCP-based services with the MCP Inspector
  • Extending AI model interactions with custom tools, resources, and prompts
  • Creating maintainable, scalable server architectures for MCP-based systems

よくある質問

1

What runtime does MCP Server require?

Node.js 18 or higher, with Yarn or npm as package manager.

2

How do I change the server port?

Set the `PORT` environment variable before starting; the default port is 3001.

3

How can I test my MCP Server implementation?

Use the official MCP Inspector tool: build and start the server, then run `npx @modelcontextprotocol/inspector node build/index.js` and access the Inspector UI at http://127.0.0.1:6274.

4

What transport methods are supported?

SSE (Server-Sent Events) for web applications/browser clients, and STDIO for CLI tools and local applications.

5

How do I extend the server with custom functionality?

Implement the `ITool`, `IResource`, or `IPrompt` interfaces and register them on the MCP server instance. Code examples are provided in the README for each extension type.

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