qualitativeresearch
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An MCP server implementation that provides tools for managing qualitative research knowledge graphs, enabling structured representation of research projects, participants, interviews, observations, codes, themes, and findings.
The Qualitative Researcher MCP Server is designed to assist qualitative researchers in organizing and analyzing their data through a structured knowledge graph. It supports the management of research projects, participants, interviews, observations, and more, allowing researchers to track their analysis process, develop themes, and generate insights from rich textual data. The server offers features such as persistent research context, study session management, thematic analysis, and participant management. It also provides tools for coding frameworks, data source organization, research question tracking, memo writing, chronological data analysis, code co-occurrence analysis, and methodology documentation. By maintaining analytical continuity and supporting theoretical development, the server enhances methodological rigor and helps researchers prepare their findings effectively.
Features
- 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.
- Thematic Analysis: Organize and track emergent themes across data sources.
- Coding Framework: Manage hierarchical coding structures and track code applications.
- Participant Management: Track participant data, demographics, and contributions.
Tools
startsession
Start a new research session to display the current project and status
loadcontext
Loading a detailed context for a specific entity
endsession
Record session results, including summary, memo, coding activities, etc.
buildcontext
Create a new entity, relationship, or observation
deletecontext
Delete entities, relationships, or observations
advanced context
Search information from the knowledge graph
