Qualitative Research

The Qualitative Researcher MCP Server is a powerful tool for organizing and analyzing qualitative research data within a structured knowledge graph. It helps you manage projects, participants, interviews, codes, themes, memos, and findings, while tracking progress across sessions and supporting methodological rigor.

How to use

You interact with the Qualitative Researcher MCP Server through a client that communicates with the server to manage entities, relationships, and analysis activities. Start a new analysis session, load existing context, and then progressively record memos, apply codes, organize themes, and link data to research questions. Use the domain functions to view project overviews, analyze themes, inspect coded data, and explore memos and methodological details. The server keeps track of statuses and priorities to guide your next steps and to ensure a coherent analytical workflow.

How to install

Prerequisites: ensure you have Node.js and npm installed on your system. You may also run the server via Docker if you prefer containerized execution.

## Option A: Run from source (Node environment)\n\n# Clone the repository for Qualitative Researcher MCP Server\ngit clone https://github.com/tejpalvirk/contextmanager.git\ncd contextmanager\\qualitativeresearch\n\n# Install dependencies\nnpm install\n\n# Build the server (if a build step is provided)\nnpm run build\n\n# Run the server from the built entry point\nnode qualitativeresearch_index.js

Additional sections

Configuration and environment variables let you tailor where data is stored and how sessions are managed. The server supports persistent storage for the knowledge graph and session data, and you can adjust these paths via environment variables.

{
  "MEMORY_FILE_PATH": "Path where the knowledge graph data will be stored",
  "SESSIONS_FILE_PATH": "Path where session data will be stored"
}

Available tools

startsession

Starts a new qualitative research session, generating a unique session ID and displaying current research context, including status and priority insights.

loadcontext

Loads detailed context for a specific entity, including status and sequential relationships, to inform your analysis.

endsession

Records the results of a session through a structured, multi-stage process such as summary, interview data, memos, coding activity, themes, and status updates.

buildcontext

Creates new entities, relationships, or observations in the knowledge graph to expand your research data structure.

deletecontext

Removes entities, relations, or observations from the knowledge graph to correct or prune your data.

advancedcontext

Retrieves information from the knowledge graph, including graphs, searches, node details, and relation discovery.

getProjectOverview

Provides a comprehensive view of a project, including research questions, methodology, participants, and data sources.

getParticipantProfile

Delivers a detailed profile of a participant including demographics, interviews, and quotes.

getThematicAnalysis

Analyzes themes with supporting codes and data to reveal patterns across sources.

getCodedData

Shows all data segments tagged with a specific code for review.

getResearchQuestionAnalysis

Organizes data by research questions with related findings for clear mapping.

getChronologicalData

Presents data in temporal sequence to examine development over time.

getCodeCooccurrence

Analyzes where multiple codes appear together to uncover associations.

getMemosByFocus

Retrieves memos related to a specific entity or focus area.

getMethodologyDetails

Reviews methodological approach, sampling, and analysis techniques used in the study.

getRelatedEntities

Finds entities related to a specific entity by a chosen relationship type.

getStatusOverview

Displays entities with a specific status such as active, completed, or pending.

getPriorityItems

Identifies high-priority research tasks and activities.

getAnalysisSequence

Visualizes the sequence of analysis activities based on precedes relationships.