KRA Racing Data Analysis MCP Server

@coyaSONG

代码仓库

基本信息

分类

数据与分析

许可证

MIT license

传输方式

stdio

作者

coyaSONG

关于 KRA Racing Data Analysis MCP Server

한국 마사회의 공공API를 이용한 MCP server 입니다.

#data-analysis#racing#mcp-server

KRA Racing Data Analysis MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "kra-mcp": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "npx",
        "tsx",
        "src/index.ts"
      ]
    }
  }
}

KRA Racing Data Analysis MCP Server 工具

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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。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is KRA Racing Data Analysis MCP Server?

It is an MCP (Model Context Protocol) server that analyzes horse racing data from the Korea Racing Authority (KRA) public API. It provides tools, resources, and prompts for race analysis, horse performance evaluation, jockey statistics, odds analysis, and track condition assessment. It is designed for data analysts, developers, and racing enthusiasts.

How to use KRA Racing Data Analysis MCP Server?

Install Node.js 18+, clone the repository, run npm install, set the KRA_SERVICE_KEY environment variable (obtained from data.go.kr), then run in dev mode with npm run dev or build and start with npm run build and npm start. Register the server in your MCP client (e.g., Cursor) by adding the appropriate command and path in the mcp.json file.

Key features of KRA Racing Data Analysis MCP Server

Analyze races by date, race number, and track.
Evaluate horse performance and form.
Retrieve jockey statistics and performance.
Analyze odds, patterns, and market trends.
Assess track condition and weather impact.
Access race schedules, horse details, and track info via resources.
Generate race predictions and performance reports via prompts.

Use cases of KRA Racing Data Analysis MCP Server

Predict race outcomes using data‑driven analysis.
Build betting strategies with odds and volume patterns.
Evaluate horse, jockey, and trainer performance over time.
Analyze track and weather effects on race results.
Manage investment risk through probability models.

常见问题

What are the runtime requirements?

Node.js 18.0.0 or higher, npm or yarn, and a KRA public API service key.

How do I get the KRA API key?

Apply for the “한국마사회 경주기록 정보” API on the Korean Public Data Portal (data.go.kr), then set the approved service key as the `KRA_SERVICE_KEY` environment variable or in a `.env` file.

Does this server use live KRA data?

Currently it uses mock data; integration with the official KRA API is planned for a future release.

How do I register this server in Cursor IDE?

Add a JSON entry to `~/.cursor/mcp.json` with the command `npx tsx` (dev) or `node` (prod) pointing to the server’s entry file.

What analysis tools are available?

`analyze-race`, `analyze-horse-performance`, `get-jockey-stats`, `analyze-odds`, and `analyze-track-condition`.

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