What data sources does ETF Flow MCP use?
It fetches historical ETF flow data from the CoinGlass API, requiring a CoinGlass API key for access.
@kukapay
基本情報
An MCP server that delivers crypto ETF flow data to power AI agents' decision-making.
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": {
"etf-flow-mcp": {
"command": "uv",
"args": [
"sync"
]
}
}
}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。
ETF Flow MCP is a Model Context Protocol server that delivers crypto ETF flow data, specifically for Bitcoin (BTC) and Ethereum (ETH), to power AI agents' decision-making. It integrates with the CoinGlass API to fetch historical ETF flow data.
Install by cloning the repository, then run uv sync to install dependencies. Configure it in Claude Desktop by adding the server to claude_desktop_config.json with your CoinGlass API key. After restarting Claude Desktop, query the ETF flow data using natural language prompts like "Show me the latest BTC ETF flow data in a table."
etf_flow_prompt) to streamline LLM interactions.It fetches historical ETF flow data from the CoinGlass API, requiring a CoinGlass API key for access.
Python 3.10 or higher and the `uv` package manager are required. Optional: Claude Desktop for interactive querying.
The tool outputs data as a Markdown table with ETF tickers as columns, dates as rows, and a total column for summed flows.
Yes, the `get_etf_flow` tool dynamically fetches data for either BTC or ETH based on the request.
Add the server configuration to `claude_desktop_config.json` with the command `uv` and arguments pointing to the server directory, along with your CoinGlass API key in the environment variables.
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