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
基本信息
An MCP server that delivers crypto ETF flow data to power AI agents' decision-making.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"etf-flow-mcp": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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