Funding Rates MCP
@kukapay
关于 Funding Rates MCP
An MCP server that provides real-time funding rate data across major crypto exchanges.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"funding-rates-mcp": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具
3Compares current funding rates for multiple symbols across specified exchanges, returning a pivoted Markdown table with a `Divergence` column showing the maximum funding rate difference for each symbol.
A Markdown table with symbols as rows, exchanges as columns, funding rates as values (formatted as percentages), and a `Divergence` column.
See the Examples section below.
概览
What is Funding Rates MCP?
An MCP server that provides real-time funding rate data across major crypto exchanges (Binance, OKX, Bybit, Bitget, Gate, CoinEx). It enables agents to detect arbitrage opportunities by comparing funding rates in a pivoted table with a Divergence column.
How to use Funding Rates MCP?
Install with Python 3.10+, uv, and optionally Claude Desktop. Clone the repository, run uv sync, then configure Claude Desktop by adding the server to claude_desktop_config.json. Use the compare_funding_rates tool with required symbols parameter and optional exchanges and params to get a Markdown table.
Key features of Funding Rates MCP
- Real-time funding rates from six major exchanges
- Pivoted table output with Divergence column
- Claude Desktop integration for interactive queries
- Optional exchange filtering per query
- Tool and prompt support via MCP
Use cases of Funding Rates MCP
- Compare funding rates across exchanges for arbitrage detection
- Monitor funding rate divergence for multiple trading pairs
- Query funding rates for specific symbols on chosen exchanges
FAQ from Funding Rates MCP
What exchanges are supported?
Binance, OKX, Bybit, Bitget, Gate, and CoinEx.
How do I use the compare_funding_rates tool?
Call it with a list of trading pairs and optionally specify exchanges and parameters. It returns a Markdown table with funding rates and a Divergence column.
What are the prerequisites for installation?
Python 3.10+, uv for dependency management, and optionally Claude Desktop for interactive use.
What output format does the server return?
A pivoted Markdown table with
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