gvasile29/qai-consultant

Overview

An AI-powered QA Architect agent that generates Test Strategies, Risk Registers, Effort Estimates, and Test Plans grounded in ISTQB, OWASP, IEEE, and ISO standards. It uses retrieval-augmented generation and is cloud-hosted through the Mistral API and Pinecone. The project is written in Python.

Best for

Best for
QA engineers and test architects who want standards-based, AI-generated planning documents

Use cases

• Generate standards-aligned test strategies for a project
• Create risk registers and effort estimates for QA planning
• Produce test plans based on recognized QA and security frameworks

How to use

Install

uvx qai-consultant-mcp

Tools exposed

• MISTRAL_API_KEY
• OPENROUTER_API_KEY
• PINECONE_API_KEY
• PINECONE_INDEX_NAME
• retrieve_qa_knowledge
• list_kb_sources
• estimate_qa_effort
• review_qa_document
• analyze_test_results

Tested with

Claude Desktop, Claude Code

Notes

An AI-powered QA Architect agent that generates Test Strategies, Risk Registers, Effort Estimates, and Test Plans grounded in ISTQB, OWASP, IEEE, and ISO standards. It uses retrieval-augmented generation and is cloud-hosted through the Mistral API and Pinecone. The project is written in Python.

4 stars on GitHub. Last updated 2026-09-02.

Use cases

• Generate standards-aligned test strategies for a project
• Create risk registers and effort estimates for QA planning
• Produce test plans based on recognized QA and security frameworks

Pros

• Grounded in multiple established standards
• Structured outputs covering key QA planning artifacts
• RAG-based retrieval for context-aware generation

Cons

• Requires external cloud services for API and vector storage
• Limited community validation with only 4 stars
• Unclear long-term maintenance due to no primary vendor

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.