Manage qualitative research context across sessions using knowledge graph based MCP Server
Manage qualitative research context across sessions using knowledge graph based MCP Server. That is what the qualitative researcher mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
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. This server helps qualitative researchers organize their data, track their analysis process, develop themes, and generate insights from rich textual data.
The server publishes 14 tools. What each one is for:
getProjectOverview — Comprehensive view of a project including research questions, methodology, participants, data sourcesgetParticipantProfile — Detailed profile of a participant including demographics, interviews, and quotesgetThematicAnalysis — Analysis of themes with supporting codes and datagetCodedData — View all data segments tagged with a specific codegetResearchQuestionAnalysis — Organize data by research questions with related findingsgetChronologicalData — View data in temporal sequencegetCodeCooccurrence — Analyze where multiple codes appear togethergetMemosByFocus — Retrieve all memos related to a specific entitygetMethodologyDetails — Review methodological approach, sampling, and analysis techniquesgetRelatedEntities — Find entities related to a specific entity by relationship typegetStatusOverview — View all entities with a specific status (active, completed, pending, abandoned)getPriorityItems — Identify high-priority research tasks and activitiesThe server ships on npm as github, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Configuration is passed through the environment: MEMORY_FILE_PATH, SESSIONS_FILE_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Qualitative Researcher's toolset — getProjectOverview, getParticipantProfile, getThematicAnalysis and 11 more — is a fair guide to whether it matches your workflow. It is maintained by tejpalvirk; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Qualitative Researcher's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| getProjectOverview | Comprehensive view of a project including research questions, methodology, participants, data sources |
| getParticipantProfile | Detailed profile of a participant including demographics, interviews, and quotes |
| getThematicAnalysis | Analysis of themes with supporting codes and data |
| getCodedData | View all data segments tagged with a specific code |
| getResearchQuestionAnalysis | Organize data by research questions with related findings |
| getChronologicalData | View data in temporal sequence |
| getCodeCooccurrence | Analyze where multiple codes appear together |
| getMemosByFocus | Retrieve all memos related to a specific entity |
| getMethodologyDetails | Review methodological approach, sampling, and analysis techniques |
| getRelatedEntities | Find entities related to a specific entity by relationship type |
| getStatusOverview | View all entities with a specific status (active, completed, pending, abandoned) |
| getPriorityItems | Identify high-priority research tasks and activities |
| getAnalysisSequence | Visualize the sequence of analysis activities based on precedes relations |
| startsession | Starts a new qualitative research session, generating a unique session ID and displaying current research projects, recent data collection, emergent themes, and previous sessions. Shows status information via has_status |
{
"mcpServers": {
"qualitativeresearch": {
"command": "npx",
"args": [
"-y",
"github:tejpalvirk/qualitativeresearch"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MEMORY_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
| SESSIONS_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.