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Quantitative Researcher MCP Server

@tejpalvirk

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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

tejpalvirk

Quantitative Researcher MCP Server について

Manage quantitative research context across sessions via knowledge graph based MCP Server

Quantitative Researcher 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": {
    "quantitativeresearch": {
      "command": "npx",
      "args": [
        "-y",
        "github:tejpalvirk/quantitativeresearch"
      ]
    }
  }
}

Quantitative Researcher 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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Quantitative Researcher MCP Server?

Quantitative Researcher MCP Server is an MCP server that provides tools for managing quantitative research knowledge graphs. It enables structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results, helping quantitative researchers organize data, track analyses, evaluate hypotheses, and generate insights from numerical data.

How to use Quantitative Researcher MCP Server?

The server is configured with Claude Desktop by adding a JSON entry to claude_desktop_config.json, using either npx, a global npm install, or Docker. Once connected, users invoke tools such as startsession, loadcontext, endsession, buildcontext, deletecontext, and advancedcontext to manage research entities, relationships, and sessions.

Key features of Quantitative Researcher MCP Server

  • Persistent research context across multiple analysis sessions
  • Study session management with unique IDs and progress tracking
  • Hypothesis testing with associated tests and conclusions
  • Dataset management with descriptive statistics and variables
  • Statistical analysis recording for tests, models, and results
  • Variable relationship tracking (correlations, predictions, etc.)
  • Research question and finding documentation with supporting evidence
  • Model performance monitoring and methodology documentation

Use cases of Quantitative Researcher MCP Server

  • Maintain analytical continuity across multiple research sessions
  • Organize statistical evidence linking hypotheses to tests and results
  • Document variable relationships and model development over time
  • Track research progress and prioritize tasks using status and priority entities
  • Prepare research reports by connecting statistical findings to research questions

よくある質問

1

What data storage does Quantitative Researcher MCP Server use?

The server stores knowledge graph data in a JSON file configured via `MEMORY_FILE_PATH` (default `./quantitativeresearch/memory.json`) and session data via `SESSIONS_FILE_PATH` (default `./quantitativeresearch/sessions.json`).

2

What are the system requirements for Quantitative Researcher MCP Server?

The server requires Node.js to run. It can be invoked via npx, a global npm installation, or Docker.

3

How does Quantitative Researcher MCP Server handle authentication?

The README does not mention any authentication mechanisms; the server is intended for local or trusted environments.

4

How can I use Quantitative Researcher MCP Server with Claude Desktop?

Add the server configuration to `claude_desktop_config.json` using either npx, global install, or Docker, as detailed in the Configuration section of the README.

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