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I Stress-Tested Google's Colab MCP Server with a Real Quantum Workflow
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I Stress-Tested Google's Colab MCP Server with a Real Quantum Workflow

via Dev.toNikoloz Turazashvili (@axrisi)

> I used Google's new Colab MCP server to let an AI agent build, run, debug, and submit a quantum chemistry notebook to real IBM Quantum hardware. Google just announced the Colab MCP server, an open-source bridge that lets any MCP-compatible AI agent control a live Google Colab notebook. Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab Jeffrey Mew for Google AI ・ Mar 17 #cloud #agents #mcp #ai That sounds useful on paper. But I wanted to see whether it could handle something more demanding than a typical dataset demo. So I gave an agent a real task: build a quantum chemistry notebook from scratch, install the right dependencies, debug compatibility issues, run a full parameter sweep, and submit a job to real IBM Quantum hardware. It worked. A blank Colab notebook became a fully working quantum chemistry workflow, complete with dependency fixes, a 15-point scan, and a real IBM Quantum job submission. From a blank notebook to a real hardware result, the agent: create

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