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MCP Key Server

@suchetaslalom-sf

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

suchetaslalom-sf

MCP Key Server について

MCP server for storing API keys and providing npm installation

#mcp-key-server#api-keys#npm-installation

MCP Key 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-key-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP Key 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Key Server?

MCP Key Server is a Model Context Protocol (MCP) server for securely storing API keys and providing npm package installation capabilities. It includes user authentication and authorization, Docker containerization, and AWS deployment support.

How to use MCP Key Server?

Clone the repository, set up the backend with Python and the frontend with Node.js, then start services using docker-compose up -d. For local development, run python app.py in the backend directory and npm start in the frontend directory. AWS deployment is done via ./deploy.sh.

Key features of MCP Key Server

  • Secure API key storage and management
  • NPM package installation service
  • User authentication and authorization
  • Docker containerization
  • AWS deployment support

Use cases of MCP Key Server

  • Securely store and manage API keys in an MCP environment
  • Install npm packages through the MCP server
  • Authenticate and authorize users for access control

よくある質問

1

What is MCP Key Server used for?

It securely stores API keys and provides npm package installation capabilities within the Model Context Protocol.

2

What are the dependencies?

Python 3.9+, Node.js 16+, Docker, and AWS CLI.

3

How can I run MCP Key Server locally?

You can run the backend with `python app.py` and the frontend with `npm start` or use Docker with `docker-compose up -d`.

4

How do I deploy to AWS?

Run `./deploy.sh` from the deployment directory.

5

What technology stack does it use?

React (frontend), Python (backend), PostgreSQL (database), Pydantic (data validation), Docker (containerization), and AWS (cloud).

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