Python Server MCP - Cryptocurrency Price Service
LocalAbout Python Server MCP - Cryptocurrency Price Service
Python Server MCP - Cryptocurrency Price Service is a Python MCP server for retrieving cryptocurrency prices through the CoinMarketCap API. It is intended for MCP clients that need price data, with environment-based configuration and optional Docker execution.
Key features
- 01Real-time cryptocurrency price retrieval
- 02CoinMarketCap API integration
- 03Environment-based configuration
- 04Optional Docker deployment
Use cases
- 01Retrieve cryptocurrency prices through an MCP client
- 02Run the server in local or staged environments
- 03Launch the server in a Docker container
MCP support
Provides cryptocurrency price information to MCP clients through a server that communicates over stdio. Its tools can be extended by defining and registering functions.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPython 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
.envfile 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__.pyfile - 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
Comments
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