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Quantitative Researcher MCP Server

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

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Overview

The Quantitative Researcher MCP Server is a tool designed for managing quantitative research contexts through a knowledge graph, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.

Users can start a new research session, load context for specific entities, and manage their research knowledge through various commands such as creating, deleting, and retrieving information from the knowledge graph.

  • Persistent research context across sessions - Study session management with unique IDs - Hypothesis testing and tracking - Dataset management and statistical analysis - Data visualization and model performance monitoring
  1. Organizing and tracking quantitative research projects
  2. Managing datasets and their descriptive statistics
  3. Documenting statistical analyses and results
  4. Visualizing data relationships and findings

Add to your AI client

Use these steps to connect Quantitative Researcher MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

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

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

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

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

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

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "quantitativeresearch-tejpalvirk": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-quantitativeresearch-tejpalvirk"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

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

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

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

FAQ

Can I track multiple research sessions?

Yes! The server allows you to maintain a structured knowledge graph across multiple sessions.

Is there support for hypothesis testing?

Yes! You can track hypotheses and their associated tests and results.

How can I visualize my data?

The server provides tools to document visualizations created from datasets and results.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":3855,"uuid":"625362cd-1614-4e46-b6e8-461575e1397f","name":"quantitativeresearch","title":"Quantitative Researcher MCP Server","description":"Manage quantitative research context across sessions via knowledge graph based MCP Server","avatar_url":"https://avatars.githubusercontent.com/u/29261990?v=4","created_at":"2025-03-22T02:38:03.711Z","updated_at":"2025-03-22T02:44:59.771Z","status":"created","author_name":"tejpalvirk","author_avatar_url":"https://avatars.githubusercontent.com/u/29261990?v=4","tags":"[]","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/tejpalvirk/quantitativeresearch","target":"_self","content":"$29","summary":"$2a","img_url":null,"type":null,"metadata":"{\"star\":\"1\",\"license\":\"\",\"language\":\"TypeScript\",\"is_official\":false,\"latest_commit_time\":\"2025-04-02 18:03:20\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Research and data