# kaist-beast-baseball-mcp

> Use this tool when you need to analyze baseball team performance, generate lineup recommendations, or develop opponent strategies through natural language inputs. It collects baseball league data from gameone.kr and provides outputs in a format suitable for team analysis and strategic decision-making. Ideal for baseball enthusiasts, coaches, or analysts seeking data-driven insights to inform their game-day decisions.

Canonical page: https://skillsregistry.net/skills/mw-jeong-kaist-beast-baseball-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mw-jeong-kaist-beast-baseball-mcp

## Description

Collects baseball league data from gameone.kr and enables Claude Desktop to perform team analysis, lineup recommendations, and opponent strategy through natural language.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p8u9pnl4rd)
- **Repository:** <https://github.com/mw-jeong/kaist-beast-baseball-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mw-jeong-kaist-beast-baseball-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mw-jeong-kaist-beast-baseball-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mw-jeong-kaist-beast-baseball-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt