Crypto Price Tracker MCP Server

What is Crypto Price Tracker MCP Server?

A Python-based MCP server that allows users to track cryptocurrency prices, manage a watchlist, and export data to Google Sheets. It is built using the FastMCP framework, designed to run as a Docker container, and integrates with MCP clients like GitHub Copilot via stdio.

How to use Crypto Price Tracker MCP Server?

Clone the repository, set up a Python virtual environment, install dependencies with uv, obtain Google Sheets API credentials (service account JSON key), build the Docker image, and run the container mounting the credentials file. For MCP client integration (e.g., GitHub Copilot), add a JSON configuration to VSCode’s settings.json specifying the Docker command and credentials path. Interact with the server through natural language prompts; it exposes tools like add_to_watchlist, fetch_prices, and export_to_sheets.

Key features of Crypto Price Tracker MCP Server

• Watchlist management: add, remove, and view cryptocurrencies.
• Price tracking via the CoinGecko API.
• Export watchlist and price data to Google Sheets.
• Share Google Sheets with a specified user.
• Analyze performance (highest gain/loss) from sheet data.
• MCP tools and prompt generation for natural language interaction.

Use cases of Crypto Price Tracker MCP Server

• Track cryptocurrency prices of a personalized watchlist.
• Export price data to a Google Sheet for further analysis.
• Analyze daily performance leaders from exported sheet data.
• Manage watchlist through natural language commands in GitHub Copilot.

FAQ from Crypto Price Tracker MCP Server

What prerequisites are required to run Crypto Price Tracker MCP Server?

You need Docker, a Google Cloud project with the Google Sheets API enabled, and a service account JSON key file placed at a known path.

How does the server communicate with MCP clients?

The server communicates over stdio (standard input/output), making it compatible with MCP clients like GitHub Copilot.

Can the server be used without Docker?

The README describes building and running the server exclusively as a Docker container; no alternative installation method is provided.

What Google Sheets functions are available?

You can export watchlist and price data to a new sheet, share the sheet with a specific user, and analyze performance (highest gain and loss) from a sheet using the get_sheet_performance_leaders tool.

What tools does the server expose?

The server exposes tools for watchlist management (get_watchlist, add_to_watchlist, remove_from_watchlist), price fetching (fetch_prices), Google Sheets export/share (export_to_sheets), and performance analysis (get_sheet_performance_leaders), plus prompt-generation helpers.