Development · MODEL CONTEXT PROTOCOL

stevearagonsite PythonServerMcp

A template repository for MCP

WHAT IT CONNECTS

What stevearagonsite PythonServerMcp gives an AI Agent

  • Real-time cryptocurrency price retrieval
  • Environment-based configuration (development, production, staging, local)
  • CoinMarketCap API integration
  • Docker container deployment
  • Python 3.12+
  • uv (package and virtual environment manager)
  • Docker (optional, for container execution)
  • Create a `.env` file in the project root with the following variables:
  • You can also create specific environment files for each environment:
  • `.dev.env` - For development environment
  • `.staging.env` - For staging environment
  • `.prod.env` - For production environment
  • Define the function in the `src/__init__.py` file
  • Register the tool in the `main()` function
  • Document the tool with docstrings

SECURITY

An MCP listing is not a security review

An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.

README

Repository documentation

MseeP.ai Security Assessment Badge

Python Server MCP - Cryptocurrency Price Service

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.

Docker

Docker build: docker build -t mcp/python-server-mcp -f Dockerfile .

Add the following to your mcp.json file:

{
  "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",
      }
    }
  }
}

Features

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

Requirements

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

Installation

Using uv (recommended)

# Clone the repository
git clone <repository-url>
cd PythonServerMcp

Create and activate virtual environment with uv

uv venv
source .venv/bin/activate

Install dependencies

uv sync

Configuration

  1. Create a .env file in the project root with the following variables:
ENVIRONMENT=DEV  # Options: LOCAL, DEV, STAGING, PROD
COINMARKETCAP_API_KEY=your_api_key_here
  1. You can also create specific environment files for each environment:
    • .dev.env - For development environment
    • .staging.env - For staging environment
    • .prod.env - For production environment

Usage

Local Execution

python main.py

This will start the MCP server that will listen for requests through standard input/output (stdio).

Using Docker

# Build the image
docker build -t test-mcp -f Dockerfile --platform linux/amd64 .

# Run the container
docker run -it test-mcp

Project Structure

.
├── main.py
└── src
    ├── __init__.py
    ├── core
    │   ├── common
    │   │   ├── crypto_schema.py
    │   │   └── schema.py
    │   ├── config.py
    │   ├── settings
    │   │   ├── __init__.py
    │   │   ├── base.py
    │   │   ├── development.py
    │   │   ├── environment.py
    │   │   ├── local.py
    │   │   ├── production.py
    │   │   └── staging.py
    │   └── utils
    │       ├── datetime.py
    │       ├── extended_enum.py
    │       ├── filename_generator.py
    │       ├── passwords.py
    │       ├── query_utils.py
    │       └── redis.py
    ├── mcp_server.py
    ├── resources
    │   ├── __init__.py
    │   └── coinmarketcap_resource.py
    ├── server.py
    ├── services
    │   ├── __init__.py
    │   └── coinmarketcap_service.py
    └── tools
        ├── __init__.py
        └── prices.py

Development

Adding New Tools to the MCP Server

To add a new tool to the MCP server, follow these steps:

  1. Define the function in the src/__init__.py file
  2. Register the tool in the main() function
  3. Document the tool with docstrings

Example:

@server.add_tool
def my_new_tool(parameter1: str, parameter2: int) -> str:
    """
    Description of what the tool does.
    
    Args:
        parameter1: Description of parameter 1
        parameter2: Description of parameter 2
        
    Returns:
        Description of what is returned
    """
    # Tool implementation
    return result
View README on GitHub

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