Funding Rates MCP

Name: Funding Rates MCP
Author: kukapay

@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

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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