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Qualitative Researcher MCP Server

@tejpalvirk

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

tejpalvirk

关于 Qualitative Researcher MCP Server

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

Qualitative Researcher MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "qualitativeresearch": {
      "command": "npx",
      "args": [
        "-y",
        "github:tejpalvirk/qualitativeresearch"
      ]
    }
  }
}

Qualitative Researcher MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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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