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Redefining-QA-Multi-Agent-AI-Automation-Using-MCP-Protocol
This project demonstrates how to build a multi-agent AI automation framework using the Model Context Protocol (MCP). The setup enables LLMs (Claude AI in this case) to autonomously execute UI flows, API validations, file operations, and cross-system authentication workflows through standardized tool interfaces
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Install
Universal installANY TOOL
$ npx skillcity@latest sarthak1095/Redefining-QA-Multi-Agent-AI-Automation-Using-MCP-ProtocolAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/sarthak1095/Redefining-QA-Multi-Agent-AI-Automation-Using-MCP-Protocol.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
redefining-qa-multi-agent-ai-automation-using-mcp-protocol — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt