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Extreme P Value MCP Server

@koido

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

koido

投稿者

Masaru Koido

Extreme P Value MCP Server について

概要はまだありません

#mathgpt#math-solver#math-assistant

Extreme P Value MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "extreme-p-mcp": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

Extreme P Value MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Extreme P Value MCP Server?

This MCP server provides an API interface for extreme p-value calculations (z, t, F, chi‑square, SAIGE, Wald) that are implemented in the R script extreme-P.R, accessed via Python using pyper and served with FastMCP. It is intended for researchers and statisticians who need high‑precision p‑values for extreme test statistics.

How to use Extreme P Value MCP Server?

Install dependencies with uv sync, then start the server with uv run server.py. API endpoints such as /pvalue_extreme_z(z: float) are available, and the helper class ExtremePHelper in extreme_p_helper.py provides a direct Python interface.

Key features of Extreme P Value MCP Server?

  • Extreme p‑value computations for z, t, F, chi‑square, SAIGE, and Wald.
  • Returns results as mantissa and exponent.
  • Built with FastMCP for easy API access.
  • Integrates R calculations via the pyper bridge.
  • Simple setup using uv and a single pyproject.toml.

Use cases of Extreme P Value MCP Server?

  • Computing extremely small p‑values in genome‑wide association studies.
  • Evaluating statistical significance in fixed‑effect meta‑analyses.
  • Handling p‑values beyond standard floating‑point precision.
  • Using the SAIGE method for case‑control study p‑values.
  • Automating p‑value calculations in a server‑based workflow.

よくある質問

1

What dependencies are required?

You need `uv`, `pyper`, `fastmcp`, and `mcp[cli]`. All are defined in `pyproject.toml`.

2

Is the server stable and ready for production?

No — the project is under active development and its APIs and features may change without notice.

3

How do I start the server?

Run `uv sync` to install dependencies, then `uv run server.py`.

4

What API endpoints does the server provide?

Endpoints include `/pvalue_extreme_z`, `/pvalue_extreme_t`, `/pvalue_extreme_f`, `/pvalue_extreme_chisq`, `/pvalue_extreme

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