What are the prerequisites for running the server?
Python 3.9+ and pip are required. No other runtime dependencies are needed beyond the installed Python packages.
@Frostbite22
Basic information
An MCP client and server for cryptogecko using fastMCP library and Starlette
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"cryptogecko-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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.
This guide walks through setting up a Model Context Protocol (MCP) server and client to retrieve cryptocurrency data using the CoinGecko API. It is intended for developers building Python‑based MCP servers with a TypeScript client and a React frontend.
After installing Python 3.9+ and pip, create a virtual environment, install dependencies (starlette, uvicorn, httpx, mcp-server, python-dotenv), and optionally add a CoinGecko API key in a .env file. Save the server code to server.py and start it with python server.py --port 8000 --debug. The server runs at http://localhost:8000. Host and port can be customized with --host and --port arguments.
@mcp_app.tool() decoratorPython 3.9+ and pip are required. No other runtime dependencies are needed beyond the installed Python packages.
Run `python server.py --port 8000 --debug` from the project root. You can customize the host and port with `--host` and `--port` arguments.
Install `starlette`, `uvicorn`, `httpx`, `mcp-server`, and `python-dotenv` via pip.
The server fetches data from the CoinGecko API. An API key is optional; the free tier can be used without one.
No authentication is required by default. An optional CoinGecko API key can be added to a `.env` file for higher rate limits.
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