Qualitative Researcher MCP Server

Name: Qualitative Researcher MCP Server
Author: tejpalvirk

@tejpalvirk

リポジトリ

Qualitative Researcher MCP Server について

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

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

tejpalvirk

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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

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).