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MCP Key Server

@suchetaslalom-sf

About MCP Key Server

MCP server for storing API keys and providing npm installation

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

suchetaslalom-sf

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-key-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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).

Comments

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