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.
@tejpalvirk
基本情報
Manage qualitative research context across sessions using knowledge graph based MCP Server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"qualitativeresearch": {
"command": "npx",
"args": [
"-y",
"github:tejpalvirk/qualitativeresearch"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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.
It requires Node.js (to use npx or npm) or Docker. The server is typically run with Claude Desktop or any MCP-compatible host.
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`.
Use the `startsession` tool. It generates a unique session ID and displays current projects, recent data collection, emergent themes, and previous sessions.
Yes, by setting the `MEMORY_FILE_PATH` and `SESSIONS_FILE_PATH` environment variables to absolute or relative paths when starting the server.
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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