Quantitative Researcher MCP Server
by tejpalvirk
An MCP server implementation that provides tools for managing quantitative research knowledge graphs. It enables structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.
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What is Quantitative Researcher MCP Server?
The Quantitative Researcher MCP Server is a tool for managing quantitative research knowledge graphs, enabling structured representation of research projects, datasets, variables, hypotheses, statistical tests, models, and results.
How to use Quantitative Researcher MCP Server?
The server can be used via a command-line interface or integrated with tools like Claude Desktop. It provides tools to start sessions, load research context, record session results, build and delete context, and perform advanced context retrieval. Configuration instructions are provided for different installation methods.
Key features of Quantitative Researcher MCP Server
Persistent Research Context
Study Session Management
Hypothesis Testing
Dataset Management
Statistical Analysis
Variable Relationships
Research Question Tracking
Data Visualization
Model Performance
Research Finding Documentation
Research Methodology Documentation
Use cases of Quantitative Researcher MCP Server
Maintain analytical continuity across research sessions
Organize statistical evidence linking hypotheses to tests and results
Document variable relationships and their influence
Track model development and performance
Support result interpretation with research questions and frameworks
FAQ from Quantitative Researcher MCP Server
Where is the knowledge graph data stored?
Where is the knowledge graph data stored?
By default, the knowledge graph data is stored in ./quantitativeresearch/memory.json. This can be customized using the MEMORY_FILE_PATH environment variable.
Where is session data stored?
Where is session data stored?
By default, session data is stored in ./quantitativeresearch/sessions.json. This can be customized using the SESSIONS_FILE_PATH environment variable.
How do I install the server?
How do I install the server?
The server can be installed from GitHub using npx, installed globally using npm, or run using Docker. See the Configuration section in the README for detailed instructions.
What kind of entities can I manage with this server?
What kind of entities can I manage with this server?
The server recognizes entity types such as projects, datasets, variables, hypotheses, statistical tests, results, analysis scripts, visualizations, models, literature, research questions, findings, participants, status, and priority.
What kind of relationships can I create between entities?
What kind of relationships can I create between entities?
Entities can be connected through relationships such as correlates_with, predicts, tests, analyzes, produces, visualizes, contains, part_of, depends_on, supports, contradicts, derived_from, controls_for, moderates, mediates, implements, compares, includes, validates, cites, has_status, has_priority, and precedes.