
Python Server MCP - Cryptocurrency Price Service
A template repository for MCP
what is Python Server MCP?
Python Server MCP is a cryptocurrency price service that implements an MCP (Model Context Protocol) server to provide real-time cryptocurrency price information through an API.
how to use Python Server MCP?
To use Python Server MCP, clone the repository, set up a virtual environment, install dependencies, and run the server locally or via Docker.
key features of Python Server MCP?
- Real-time cryptocurrency price retrieval
- Environment-based configuration (development, production, staging, local)
- CoinMarketCap API integration
- Docker container deployment
use cases of Python Server MCP?
- Retrieving live cryptocurrency prices for applications.
- Integrating cryptocurrency data into financial dashboards.
- Building trading bots that require real-time price updates.
FAQ from Python Server MCP?
- What programming language is used for Python Server MCP?
Python 3.12+ is required to run the server.
- Is Docker necessary to run the service?
No, Docker is optional; you can run the server locally without it.
- How do I configure the API key?
Create a
.env
file in the project root with your CoinMarketCap API key.
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
- 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
- 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:
- Define the function in the
src/__init__.py
file - Register the tool in the
main()
function - 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