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.
@RoystonDAlmeida
基本情報
This repository contains files for Crypto Price Tracker MCP Server using Coingecko API.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"crypto-price-tracker-mcp": {
"command": "uv",
"args": [
"pip",
"install",
"-e",
"."
]
}
}
}Get the current watchlist of tracked cryptocurrencies.
Fetch the latest prices for all coins in the watchlist.
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.
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.
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.
The server communicates over stdio (standard input/output), making it compatible with MCP clients like GitHub Copilot.
The README describes building and running the server exclusively as a Docker container; no alternative installation method is provided.
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.
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.
Amazon MCP server for real-time Amazon product data. Give Claude, ChatGPT, Cursor, or any AI agent live access to the Amazon Product Data API: search products, look up ASINs and UPC/EAN/ISBN codes, track prices and Buy B
AML/compliance screening MCP server for AI agents — a verdict with verifiable evidence before money moves. Free tools, no key. npm: oceanalt-aml-mcp

Banks to AI gives any MCP-compatible agent (Claude, Cursor, or your own) secure, read-only access to real bank data — 12,000+ financial institutions across the US, Canada and beyond. How it works: authenticate via OAuth
Look up HS headings, check listing requirements across 12 commerce channels, and flag environmental claims in product copy. Runs offline with no account or API key.
Live Proof-of-Work mining data for AI agents: difficulty, hashrate, solo-mining odds, cost of production and hardware profitability for 126+ networks and 770+ ASIC/GPU/CPU models. Read-only, no API key.
コメント