home / mcp / drakoxw mcp server

Drakoxw MCP Server

Exposes MCP endpoints via HTTP or stdio for running commands, managing data sources, and interacting with MCP clients.

Installation

Add the following to your MCP client configuration file.

Configuration

{
  "mcpServers": {
    "drakoxw-mcp-server": {
      "url": "http://0.0.0.0:8000/mcp/"
    }
  }
}

A lightweight MCP server lets you run and expose MCP endpoints locally or remotely, so you can connect MCP clients to your own server logic, run commands, and manage MCP workflows with ease.

How to use

You can connect to the MCP server in two primary ways: use the HTTP endpoint that serves MCP requests over the network, or run a local process that communicates through the standard input/output (stdio) channel. In both cases, you can start by provisioning the server, then point your MCP client at the available URL or start the local process that runs the server logic.

To use the HTTP option, start the docker-based server or any deployed instance and use the exposed HTTP URL ending with /mcp/ as your MCP endpoint. To use the stdio option, launch the local process with the provided uv command and path to the server script, which connects MCP client requests directly through the process I/O.

How to install

uv sync

Start the application locally using Python-based server logic.

uv run server.py

Additional setup and options

If you prefer containerized deployment, you can build and run the MCP server with Docker.

docker build -t mcp-server-demo .

docker run -p 8000:8000 --name app-mcp-server mcp-server-demo

Other useful commands

Install additional libraries if needed and enable MCP-related tooling.

pip install "any"

Install and prepare MCP tooling for your environment.

uv run mcp install server.py

If you want to inspect MCP setup, run the MCP inspector command.

uv run mcp install server.py