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Qualitative Researcher MCP Server

@tejpalvirk

基本情報

カテゴリ

その他

トランスポート

stdio

作者

tejpalvirk

Qualitative Researcher MCP Server について

Manage qualitative research context across sessions using knowledge graph based MCP Server

Qualitative Researcher MCP Server の設定

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"
      ]
    }
  }
}

Qualitative Researcher MCP Server のツール

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。

概要

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

よくある質問

1

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.

2

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`.

3

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.

4

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.

5

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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