MCPServe by @ryaneggz MCP Server

@ryaneggz

Basic information

About MCPServe by @ryaneggz MCP Server

🔌🔄 Simple MCP Server Deployment

#docker #ubuntu #mcp #container #gemini #openai#ngrok#claude#sonnet#langchain #anthropic #deepseek #langgraph #modelcontextprotocol #vibecoding

MCPServe by @ryaneggz MCP Server config

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

{
  "mcpServers": {
    "mcpserve": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCPServe by @ryaneggz MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

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

Overview

What is 🤖 MCPServe by @ryaneggz?

🤖 MCPServe by @ryaneggz is a simple MCP (Model Context Protocol) server with shell execution capabilities. It can be hosted locally, connected to via Ngrok, or deployed as a Docker container running Ubuntu 24. It is designed for developers who need an MCP server that can execute shell commands remotely.

How to use 🤖 MCPServe by @ryaneggz?

Install uv, create a virtual environment, install dependencies from requirements.txt, and start the server with python main.py. For Docker, run docker compose up --build. Configure your MCP client with the SSE transport URL http://localhost:8005/sse and optionally add an x-api-key header if server-side authentication is enabled.

Key features of 🤖 MCPServe by @ryaneggz

Simple MCP server with shell execution
Local hosting via Python or Docker
Ngrok support for remote access
SSE (Server-Sent Events) transport
Optional API key authentication header

Use cases of 🤖 MCPServe by @ryaneggz

Remotely execute shell commands through an MCP client
Set up a local development environment for testing MCP tools
Deploy a containerized MCP server for production or cloud use

Frequently asked questions

What dependencies are required?

Python, uv (install script provided), and the packages listed in `requirements.txt`. For Docker, Docker and Docker Compose are needed.

How do I configure an MCP client?

Use a JSON config with `"transport": "sse"` and `"url": "http://localhost:8005/sse"`. Optionally add `"headers": { "x-api-key": "your-key" }` if authentication is enabled server-side.

Can I run the server without Docker?

Yes. You can install uv, create a virtual environment, install dependencies, and run `python main.py` directly on your local machine.

What transport protocol does it use?

It uses SSE (Server-Sent Events) transport, as shown in the client configuration example.

Is authentication supported?

An optional `x-api-key` header can be added in the client config, but the README notes this requires code changes to the MCP library’s settings to work properly.

Comments

More Other MCP servers

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Next Generation Movers: free moving quotes (remote MCP)

Next Generation Movers

Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Blender

ahujasid

Open-source MCP to use Blender with any LLM

23.6K