PythonServerMcp MCP Server

This project implements an MCP (Model Context Protocol) server that provides cryptocurrency price information. The server is built using Python and

Local serverstdioPython

What is the PythonServerMcp MCP server?

PythonServerMcp MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. This project implements an MCP (Model Context Protocol) server that provides cryptocurrency price information. The server is built using Python and the MCP framework to create an API that can be consumed by different clients.

What you get

  • Real-time cryptocurrency price retrieval
  • Environment-based configuration (development, production, staging, local)
  • CoinMarketCap API integration
  • Docker container deployment

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Configuration and credentials

You will need 2 environment variables: ENVIRONMENT, COINMARKETCAP_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python 3.12+ - uv (package and virtual environment manager) - Docker (optional, for container execution)

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the pythonservermcp mcp server does with a few real requests.

Choosing this one

Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by stevearagonsite; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

How to install the PythonServerMcp MCP server

{
  "mcpServers": {
    "python-server-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-p",
        "8000:8000",
        "-e",
        "ENVIRONMENT",
        "-e",
        "COINMARKETCAP_API_KEY",
        "mcp/python-server-mcp"
      ],
      "env": {
        "ENVIRONMENT": "PRODUCTION",
        "COINMARKETCAP_API_KEY": "your-api-key",
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.12+ - uv (package and virtual environment manager) - Docker (optional, for container execution)
VariableDescriptionRequired
ENVIRONMENTConfiguration value read at startup.Optional
COINMARKETCAP_API_KEYCredential the server authenticates with.Yes

Frequently asked questions

It connects PythonServerMcp to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with PythonServerMcp directly.