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Case study

ai2026

MCP Server Studio

Visual builder for Model Context Protocol servers. Design tools, resources, and prompts on a drag-and-drop React Flow canvas. Built-in test simulator with parameter validation and batch schema testing. Exports production-ready TypeScript with Docker and Railway deployment bundles. 466 passing tests.

Exploring the boundaries of artificial intelligence

Field notes

Role

Creator

Read order

Evidence first, then constraint → build → proof. Use the chapter rail to jump sections; orbit to adjacent work from the bottom of the case study.

The AI Frontier·✦I-Class Giant
●LIVE
466 tests passing
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Evidence

Interface & evidence

A real surface area—not a mock. Scroll the story below for constraint, build, and outcome.

Signature viewmcp-server-studio.vercel.app
MCP Server Studio application interface
Open Live Site
mcp-server-studio.vercel.app

Story arc

How this shipped

Exploring the boundaries of artificial intelligenceThree beats: what pressed against the work, how the stack answered, and what changed once it was live.

I · Constraint

The brief

Model Context Protocol (Anthropic's AI protocol) requires boilerplate code and manual testing. No visual tools existed for rapid prototyping.

II · Build

The craft

React Flow canvas for visual tool design, Monaco Editor for live code preview, interactive test inspector with structured results, and a TypeScript code generator that outputs Docker + Railway deployment bundles. 8 pre-built templates for common patterns. Shipped MVP in 4 hours.

III · Proof

What moved after launch

466 passing tests. Complete workflow: design → test → export → deploy in one tool. Docker + Railway bundles eliminate deployment friction. 8 templates cut MCP server setup from hours to minutes.

Engine room

At a glance

0
Tests

Inventory

Stack & signals

MCPReact FlowMonaco EditorZustandNext.js 15TypeScript
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Tell me what you're building

If you need someone who can own UI, systems, and AI integration without losing the plot—I'm listening. Contract, advisory, or full-time: we'll find the right shape.

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© 2026 Elizabeth Stein

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