Qualitative Researcher MCP Server
@tejpalvirk
About Qualitative Researcher MCP Server
Manage qualitative research context across sessions using knowledge graph based MCP Server
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"qualitativeresearch": {
"command": "npx",
"args": [
"-y",
"github:tejpalvirk/qualitativeresearch"
]
}
}
}Tools
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Overview
What is Qualitative Researcher MCP Server?
The Qualitative Researcher MCP Server provides tools for managing qualitative research knowledge graphs, enabling structured representation of research projects, participants, interviews, observations, codes, themes, and findings. It helps qualitative researchers organize data, track analysis processes, develop themes, and generate insights from rich textual data.
How to use Qualitative Researcher MCP Server?
Install the server via npx (npx -y github:tejpalvirk/qualitativeresearch), npm global install, or Docker. Add the configuration to Claude Desktop's claude_desktop_config.json. Use tools such as startsession, loadcontext, endsession, buildcontext, deletecontext, and advancedcontext to interact with the knowledge graph. Optionally set environment variables MEMORY_FILE_PATH and SESSIONS_FILE_PATH to customize data storage locations.
Key features of Qualitative Researcher MCP Server
- Persistent research context across multiple analysis sessions
- Study session management with unique session IDs
- Hierarchical coding framework and code application tracking
- Thematic analysis organization and tracking
- Participant, data source, and research question management
- Memo writing, chronological data analysis, and code co-occurrence analysis
Use cases of Qualitative Researcher MCP Server
- Maintain analytical continuity across research sessions
- Build and refine coding frameworks on qualitative data
- Track thematic emergence and evolution during analysis
- Organize interview transcripts, field notes, and documents
- Connect findings to supporting evidence and research questions
FAQ from Qualitative Researcher MCP Server
What runtime does the Qualitative Researcher MCP Server require?
It requires Node.js (to use npx or npm) or Docker. The server is typically run with Claude Desktop or any MCP-compatible host.
Where does the Qualitative Researcher MCP Server store data?
Data is stored in local JSON files specified by the MEMORY_FILE_PATH and SESSIONS_FILE_PATH environment variables. Default paths are ./qualitativeresearch/memory.json and ./qualitativeresearch/sessions.json.
How do I start a new research session?
Use the startsession tool. It generates a unique session ID and displays current projects, recent data collection, emergent themes, and previous sessions.
Can I customize where data is saved?
Yes, by setting the MEMORY_FILE_PATH and SESSIONS_FILE_PATH environment variables to absolute or relative paths when starting the server.
What entity types and relationships does the server support?
The server supports 16 entity types (project, participant, interview, code, theme, memo, finding, etc.) and 18 relationship types (e.g., codes, supports, precedes, has_status, has_priority).
Frequently asked questions
What runtime does the Qualitative Researcher MCP Server require?
It requires Node.js (to use npx or npm) or Docker. The server is typically run with Claude Desktop or any MCP-compatible host.
Where does the Qualitative Researcher MCP Server store data?
Data is stored in local JSON files specified by the `MEMORY_FILE_PATH` and `SESSIONS_FILE_PATH` environment variables. Default paths are `./qualitativeresearch/memory.json` and `./qualitativeresearch/sessions.json`.
How do I start a new research session?
Use the `startsession` tool. It generates a unique session ID and displays current projects, recent data collection, emergent themes, and previous sessions.
Can I customize where data is saved?
Yes, by setting the `MEMORY_FILE_PATH` and `SESSIONS_FILE_PATH` environment variables to absolute or relative paths when starting the server.
What entity types and relationships does the server support?
The server supports 16 entity types (project, participant, interview, code, theme, memo, finding, etc.) and 18 relationship types (e.g., codes, supports, precedes, has_status, has_priority).
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