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Funding Rates MCP

@kukapay

代码仓库

关于 Funding Rates MCP

An MCP server that provides real-time funding rate data across major crypto exchanges.

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

kukapay

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

3

Compares 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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