Quantitative Researcher MCP Server

Name: Quantitative Researcher MCP Server
Author: tejpalvirk

@tejpalvirk

Repository

About Quantitative Researcher MCP Server

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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.