Qualitativeresearch

🚀 Qualitative Research Context Manager MCP Server

This MCP server is specifically designed for qualitative researchers to help them efficiently manage and track various data, coding frameworks, and analysis progress during the research process. The following is the complete documentation for this server.

🚀 Quick Start

This MCP server is tailored for qualitative researchers, offering a comprehensive solution to streamline the management and tracking of research - related data, coding frameworks, and analysis progress.

✨ Features

Function Overview

• Maintain Analysis Continuity: Track analysis progress across multiple research sessions.
• Develop Coding Frameworks: Build, refine, and apply coding structures to qualitative data.
• Track Theme Development: Observe the emergence and evolution of themes during the analysis.
• Manage Rich Data Sources: Organize and connect interview transcripts, field notes, and documents.
• Support Theoretical Development: Record theoretical insights through the memo - writing process.
• Prepare Research Findings: Relate research results to supporting evidence and research questions.
• Enhance Methodological Rigor: Document methodological decisions and analysis processes.
• Track Research Progress: Monitor the status of entities throughout the research lifecycle.
• Prioritize Research Tasks: Identify and focus on high - priority research activities.
• Plan and Visualize Analysis Steps: Plan and visualize the logical sequence of research and analysis steps.

Core Features

Term Definitions

The following are the terms used in the qualitative research context manager and their definitions:

Core Functionalities

1. Create and Manage Code Groups
   • Establish new code groups.
   • Add codes to existing code groups.
   • Update or delete code groups and the codes they contain.
2. Define and Apply Themes
   • Identify and record the core themes in the research.
   • Track the evolution of themes during the analysis.
   • Associate themes with specific data segments.
3. Maintain Memos
   • Record theoretical insights, reflections, and next steps.
   • Associate memos with specific codes or themes.
   • Manage memos by priority or date.
4. Track Session Progress
   • Record detailed information about each analysis session.
   • Monitor the analysis progress.
   • Save and restore previous analysis states.
5. Set Entity Status
   • Mark the status of entities (such as codes, themes, and activities) (e.g., in - progress, completed).
   • Update entity status to reflect research progress.
6. Define Priorities
   • Assign priority levels to different entities.
   • Focus on key tasks or steps based on priorities.
   • Adjust priorities to adapt to changes in research needs.
7. Plan and Visualize Analysis Steps
   • Define the logical sequence of analysis activities.
   • Set dependencies between activities.
   • Visualize the analysis flowchart for better understanding of the overall structure.

💻 Usage Examples

Basic Usage

Basic Usage

# Create a new code group
python3 qual-manager.py code-group create --name "User Behavior"

# Add a code to an existing code group
python3 qual-manager.py code add --code-group "User Behavior" --name "Interaction Pattern"

# Record a theme
python3 qual-manager.py theme create --name "Social Media Usage" --description "Analyze user behavior patterns on social media"

# Maintain a memo
python3 qual-manager.py memo add --content "Need to further study the impact of user privacy issues on interaction patterns"

# Track session progress
python3 qual-manager.py session start --description "Analyze social media usage data"

# Set entity status
python3 qual-manager.py code-group update-status --name "User Behavior" --status "Completed"

# Define priority
python3 qual-manager.py theme update-priority --name "Social Media Usage" --priority "High"

📦 Installation

Installation Methods

1. Install the global package via npm:

npm install -g github:tejpalv/qualitativeresearch-qual-manager

2. Install via Docker (optional):

docker pull qualresearch/qm-server

3. Configure environment variables: Set the following environment variables in the terminal to customize the server behavior:

• QUAL_MANAGER_DB_URL: Database connection URL.
• QUAL_MANAGER_API_KEY: API access key.
• QUAL_MANAGER_LOG_LEVEL: Logging level (e.g., INFO, DEBUG).

📚 Documentation

Environment Variables

The following are the environment variables used in the qualitative research context manager and their functions:

Example Usage

# Set the database connection URL
export QUAL_MANAGER_DB_URL="mongodb://localhost:27017/qual-research"

# Set the API access key
export QUAL_MANAGER_API_KEY="your-secure-api-key-here"

# Set the logging level
export QUAL_MANAGER_LOG_LEVEL="INFO"

📄 License

This MCP server is protected by the MIT license, allowing users to freely use, modify, and distribute the code.

Contact Information

For more help or to report issues, please contact:

• Email: support@qualresearch.org
• GitHub Repository: https://github.com/tejpalv/qual-manager

Through the Qualitative Research Context Manager MCP Server, researchers can more efficiently organize and track their analysis processes, thereby improving the overall quality and reproducibility of the research.