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miyamamoto

JVLink MCP Server

by miyamamoto

get_feature_by_category

Retrieve horse racing data features by category such as past performance, aptitude, human factors, or pedigree for analysis through the JVLink MCP Server.

Instructions

カテゴリ別に特徴量を取得

Args:
    category: カテゴリ名(過去成績、適性、人的要因、血統など)

Returns:
    該当カテゴリの特徴量リスト

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryYes

Implementation Reference

  • The `get_feature_by_category` tool handler is defined in `src/jvlink_mcp_server/server.py`. It filters `FEATURE_IMPORTANCE_DATA` by the provided category and returns the matching features along with a count.
    @mcp.tool()
    def get_feature_by_category(category: str) -> dict:
        """カテゴリ別に特徴量を取得
    
        Args:
            category: カテゴリ名(過去成績、適性、人的要因、血統など)
    
        Returns:
            該当カテゴリの特徴量リスト
        """
        features = [
            f for f in FEATURE_IMPORTANCE_DATA["important_features"]
            if f["category"] == category
        ]
        return {
            "category": category,
            "features": features,
            "count": len(features)
        }

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