Quantitative Researcher MCP Server

Name: Quantitative Researcher MCP Server
Author: tejpalvirk

@tejpalvirk

リポジトリ

Quantitative Researcher MCP Server について

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

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

tejpalvirk

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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 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

FAQ from Quantitative Researcher MCP Server

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).

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.

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.

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.

「その他」の他のコンテンツ

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Unity MCP ✨

justinpbarnett

Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.

12.2K