a year ago
research-and-dataManage quantitative research context across sessions via knowledge graph based MCP Server
Overview
What is Quantitative Researcher MCP Server?
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.
How to use Quantitative Researcher MCP Server?
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.
Key features of Quantitative Researcher MCP Server?
- 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
Use cases of Quantitative Researcher MCP Server?
- Organizing and tracking quantitative research projects
- Managing datasets and their descriptive statistics
- Documenting statistical analyses and results
- Visualizing data relationships and findings
FAQ from Quantitative Researcher MCP Server?
- 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.