Stitch MCP Practical Guide — From Installation to UI Generation
Google Stitch MCP setup, platform configs, and practical usage. A more hands-on guide than the official docs.
Stitch MCP Practical Guide — From Installation to UI Generation
Google Stitch generates UI designs and frontend code from text prompts. Stitch MCP connects it to AI coding agents (Claude Code, Cursor, Gemini CLI, etc.) as an MCP server.
The official docs list setup steps but skip the practical stuff. This guide covers installation through actual UI generation in one place.
What Stitch MCP Is
Stitch is an experimental tool from Google Labs. Powered by Gemini 2.5 Pro, it takes a prompt and generates UI design + HTML/CSS code.
Related Posts
Build Your Own autoresearch — Applying Autonomous Experimentation to Any Domain
Apply the autoresearch pattern to text classification, image classification, and RAG pipelines. Includes a universal experiment runner and program.md template.
Running autoresearch Hands-On — Overnight Experiments on a Single GPU
From environment setup to agent execution and overnight results analysis. Tuning guide for smaller GPUs and practical tips.
Inside Karpathy's autoresearch — Building an AI Research Lab in 630 Lines
A code-level deep dive into Karpathy's autoresearch. Dissecting train.py, BPE tokenizer, MuonAdamW optimizer, and the agent protocol design.