qualai-mcp
Verified Safeby seanshin0214
Overview
QualAI is an AI-powered qualitative research server that provides automated coding, thematic analysis, grounded theory building, and methodology selection via a community-driven, RAG-enhanced framework, designed for seamless integration with Claude Desktop.
Installation
node dist/index.jsEnvironment Variables
- QDRANT_URL
- OPENAI_API_KEY
- QDRANT_API_KEY
- QUALAI_GITHUB_REPO
- GITHUB_TOKEN
Security Notes
The project demonstrates good security practices by utilizing prepared statements in its SQLite adapter to prevent SQL injection. External API keys for OpenAI, Qdrant, and GitHub are managed via environment variables (process.env) rather than being hardcoded. User research data is stored locally by default, enhancing privacy. There is no visible use of 'eval' or other obviously malicious patterns. Overall, the server appears safe to run.
Similar Servers
UltraRAG
An open-source RAG framework for building, experimenting, and evaluating complex Retrieval-Augmented Generation (RAG) pipelines with low-code YAML configurations and native multimodal support.
ast-mcp-server
Provides an MCP (Model Context Protocol) server for code structure and semantic analysis using ASTs and ASGs, integrated with external AI clients like Claude Desktop.
claude-faf-mcp
Optimizes AI understanding of software projects by providing persistent context, fixing context-drift, and enabling bi-directional synchronization between project metadata and AI documentation.
mcp-raganything
Provides a FastAPI REST API and MCP server for Retrieval Augmented Generation (RAG) capabilities, integrating with the RAG-Anything and LightRAG libraries for multi-modal document processing and knowledge graph operations.