Memecub
Search reaction memes, GIFs, and Chinese 表情包 by emotion or automatically place contextual imagery into articles for AI agents.
Memecub bridges the gap between text generation and visual humor by offering AI agents access to a comprehensive library of Western reaction memes, GIFs, and Chinese 表情包. Designed to integrate smoothly via Streamable HTTP MCP, Agent Skills, CLI, or REST API, it allows LLMs such as Claude Code, Cursor, and Codex to search memes conceptually by emotion or feeling rather than just keywords. Beyond basic retrieval, Memecub's specialized article-matching capability analyzes full pieces of writing, identifies natural comedic beats, and inserts license-aware Markdown image snippets directly into the text.
主な機能
0136 GitHub stars
02Search reaction memes and stickers by feeling, emotion, or character across English and Chinese libraries
03Automatically read full articles and insert matching memes after relevant sentences
04Filter search results by commercial licensing compliance, media type, and attribution requirements
05Default content filtering to exclude profanity and inappropriate captions for agent safety
06Zero-install setup using remote MCP over Streamable HTTP, Agent Skills, CLI, or REST API
ユースケース
01Enhancing technical blog posts or newsletters with contextual reaction memes automatically
02Enabling AI coding assistants like Claude Code and Cursor to share reaction GIFs and memes in chats
03Finding commercially cleared reaction imagery and attribution snippets for marketing content