MCP Key Server

Name: MCP Key Server
Author: suchetaslalom-sf

@suchetaslalom-sf

リポジトリ

MCP Key Server について

MCP server for storing API keys and providing npm installation

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

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

suchetaslalom-sf

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from MCP Key Server

What is MCP Key Server used for?

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

What are the dependencies?

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

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.

How do I deploy to AWS?

Run ./deploy.sh from the deployment directory.

What technology stack does it use?

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

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