Shipshots MCP Server: Claude Designs App Store Screenshots and Preview Videos

What Shipshots Does
Shipshots is a visual editor integrated with an MCP (Model Context Protocol) server that enables Claude to design marketing materials for app releases. The tool addresses the common bottleneck developers face when creating store screenshots, preview videos, and social media visuals after building an app.
How It Works
You describe what you want in text, Claude calls the MCP tools, and the designs build themselves automatically in the editor. The source shows a video demonstration where Claude builds marketing material for a fitness app, handling elements like gradients, device frames, 3D effects, and text styling entirely through MCP tool calls.
Specific Features from Source
- Generates app store screenshots
- Creates animated preview videos
- Produces social media visuals
- Visual editor with automatic design generation
- MCP server integration (shipshots-mcp on npm)
- Free tier: one project with single-size exports
- Pro tier: multiple apps, all export sizes, video rendering
Technical Details
The MCP server is available as "shipshots-mcp" on npm. The tool is accessible at shipshots.app where users can try it for free. The free tier supports one project with single-size exports, which the creator notes is "enough to get one app out the door."
The creator is actively adding more features and soliciting feedback on what would help developers actually launch their apps.
📖 Read the full source: r/ClaudeAI
👀 See Also

Qwen 3.6 27B hits 2.5x speed with MTP speculative decoding on llama.cpp
A Reddit user reports 2.5x faster inference on Qwen 3.6 27B using MTP speculative decoding with a custom llama.cpp PR, achieving 28 tok/s on Mac M2 Max 96GB. Includes pre-converted GGUF quants and fixed chat templates.

cortex-engine MCP server adds persistent memory and multi-agent support
cortex-engine v0.4.0 is an open-source MCP server that gives AI agents persistent long-term memory with tools like observe(), query(), believe(), and dream(). It now supports multiple agents with isolated memory namespaces.
Multi-Agent Memory: Open Source Shared Memory System for AI Agents
Multi-Agent Memory is an open source project that provides a shared memory system for AI agents across different machines, tools, and frameworks. It supports four distinct memory types with specific behaviors and includes features like credential scrubbing, agent isolation, and LLM consolidation.

MatchKit: Design System Generator for Claude Code Projects
MatchKit is a tool that generates complete branded design systems for projects built with Claude Code. It extracts brand colors from uploaded logos and generates customizable components, layouts, and design tokens to avoid the generic look common with AI coding tools.