GPT QualMaster MCP Server
AI-powered assistant for qualitative research and conceptual paper writing, providing 12 specialized tools for methodology guidance, coding methods, journal submission support, and revision strategies across major research paradigms and traditions.
README
GPT QualMaster MCP Server
AI-Powered Qualitative Research & Conceptual Paper Writing Assistant for ChatGPT Desktop
Overview
Dr. QualMaster는 질적연구자와 개념논문 작성자를 위한 GPT Desktop MCP 서버입니다.
Features
- 12개 전문 도구 - 질적연구 지원 특화
- 4대 패러다임 - 실증주의, 후기실증주의, 비판이론, 구성주의
- 5대 질적연구 전통 - 현상학, 근거이론, 문화기술지, 내러티브, 사례연구
- 코딩 가이드 - 개방/축/선택 코딩, 주제분석
- 저널 가이드 - AMR, ASQ 스타일
- R&R 지원 - 리젝션 패턴 진단 및 수정 전략
Installation
# Clone
git clone https://github.com/seanshin0214/gpt-qualmaster-mcp.git
cd gpt-qualmaster-mcp
# Install dependencies
pip install -r requirements.txt
# Run
python server.py
Usage
1. 서버 시작
python server.py
# Server running on http://127.0.0.1:8780
2. ngrok 터널 (개별 사용 시)
ngrok http 8780
3. ChatGPT Desktop 설정
| 항목 | 값 |
|---|---|
| Name | QualMaster |
| Description | 정성연구 방법론 전문가. 질적 연구 패러다임, 연구 전통(현상학, 근거이론, 문화기술지 등), 코딩 가이드, 논문 심사 및 수정, 저널 투고 전략을 지원합니다. |
| URL | https://[your-ngrok-url]/mcp (개별) 또는 https://[gateway-ngrok-url]/qualmaster/mcp (게이트웨이) |
Gateway 사용 시
gpt-mcp-launcher 게이트웨이를 통해 여러 MCP 서버를 하나의 ngrok URL로 관리할 수 있습니다.
12 MCP Tools
| Tool | Description |
|---|---|
search_knowledge |
질적연구 지식 검색 |
get_paradigm |
연구 패러다임 상세 |
get_tradition |
질적연구 전통 상세 |
suggest_methodology |
방법론 추천 |
get_coding_guide |
코딩 방법 가이드 |
assess_quality |
품질 평가 기준 |
get_journal_guide |
저널 투고 가이드 |
diagnose_rejection |
리젝션 패턴 진단 |
conceptualize_idea |
아이디어 개념화 |
develop_proposition |
명제 개발 |
review_paper |
논문 리뷰 |
guide_revision |
R&R 수정 가이드 |
Supported Methodologies
Paradigms
- Positivism (실증주의)
- Post-positivism (후기실증주의)
- Critical Theory (비판이론)
- Constructivism (구성주의)
Qualitative Traditions
- Phenomenology (현상학)
- Grounded Theory (근거이론)
- Ethnography (문화기술지)
- Narrative Inquiry (내러티브)
- Case Study (사례연구)
Coding Methods
- Open/Axial/Selective Coding
- In Vivo Coding
- Thematic Analysis (Braun & Clarke)
License
MIT License - see LICENSE
Author
Sean Shin - Qualitative Research & AI Integration
Built for qualitative researchers worldwide
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
E2B
Using MCP to run code via e2b.