Quantitative Researcher MCP Server

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

Local serverstdio

What is the Quantitative Researcher MCP Server?

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

What the server does

An MCP server implementation that provides tools for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results. This server helps quantitative researchers organize their data, track their analyses, evaluate hypotheses, and generate insights from numerical data.

  • Persistent Research Context — Maintain a structured knowledge graph of research entities and relationships across multiple analysis sessions
  • Study Session Management — Track research analysis sessions with unique IDs and record progress over time
  • Hypothesis Testing — Track hypotheses, their associated tests, and resulting conclusions
  • Dataset Management — Organize and track descriptive statistics and variables within datasets
  • Statistical Analysis — Record statistical tests, models, and their results
  • Variable Relationships — Track correlations, predictions, and other relationships between variables

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
getProjectOverviewComprehensive view of a project including research questions, methodology, datasets, variables
getDatasetAnalysisAnalysis of dataset contents including variables, descriptive statistics, and data quality
getHypothesisTestsReview of hypothesis tests and their outcomes
getVariableRelationshipsExamine correlations, predictions, and other relationships between variables
getStatisticalResultsSummarize the results of statistical analyses
getVisualizationGalleryView visualizations created for datasets and results
getModelPerformanceAssess performance metrics for statistical models
getResearchQuestionResultsOrganize analyses and results by research questions
getVariableDistributionExamine the distribution and properties of individual variables
getStatusOverviewView all entities with a specific status (active, completed, pending, abandoned)
getPriorityItemsIdentify high-priority research tasks and activities
getResearchSequenceVisualize the sequence of research processes based on precedes relations
startsessionStarts a new quantitative research session, generating a unique session ID and displaying current research projects, datasets, models, visualizations, and previous sessions. Shows status information via has_status relati
loadcontextLoads detailed context for a specific entity (project, dataset, variable, etc.), displaying relevant information based on entity type. Includes status information, priority levels, and sequential process relationships.

How to install the Quantitative Researcher MCP Server

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

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
MEMORY_FILE_PATHFilesystem location the server is allowed to use.Optional
SESSIONS_FILE_PATHFilesystem location the server is allowed to use.Optional

Example prompts to try

  • “Use Quantitative Researcher to getProjectOverview.”
  • “Use Quantitative Researcher to getDatasetAnalysis.”
  • “Use Quantitative Researcher to getHypothesisTests.”

Frequently asked questions

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`).