Which exchanges are supported?
The server leverages the CCXT library, which supports over 100 cryptocurrency exchanges. Any exchange supported by CCXT can be used.
@jcwleo
基本情報
概要はまだありません
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": {
"ccxt-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that exposes functions from the CCXT library as tools for Large Language Models (LLMs). It enables LLMs to interact with cryptocurrency exchanges for tasks like fetching balances, market data, and creating orders in a standardized, asynchronous way.
Clone the repository, create a virtual environment, install dependencies from requirements.txt, then run the server with uv run uvicorn mcp_server:app. Configure your MCP client (e.g., Claude desktop) with a JSON entry pointing to http://127.0.0.1:8000/mcp/ using npx mcp-remote.
The server leverages the CCXT library, which supports over 100 cryptocurrency exchanges. Any exchange supported by CCXT can be used.
For public data tools (e.g., ticker, OHLCV) no authentication is required. Private tools (e.g., account balance, order creation) require an API key, secret, and optionally a passphrase.
Install dependencies (Python, uvicorn, etc.)

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
Painless E2E Automation for Mobile and Web

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

Model Context Protocol Servers
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
コメント