0f871d79fd
Key optimizations: - Short-circuit 'initialize' and 'notifications/initialized' requests with pre-built static responses, avoiding McpServer/Transport/DB auth creation for every new MCP session (~2 requests saved per session) - Add LRU+TTL in-memory cache for API key authentication (5 min TTL) - Cache read-only DB queries: prompt list, prompt get, search prompts, get skill, search skills (60-120s TTL depending on operation) - Pre-serialize GET /api/mcp discovery JSON at module level (once per cold-start instead of per-request) - Add Vercel-CDN-Cache-Control and CDN-Cache-Control headers for the GET endpoint to ensure proper Vercel Edge Network caching - Add framework-level cache headers in next.config.ts for /api/mcp - Move rate limiting before server creation so rejected requests never incur DB auth or server setup costs - Move body parsing before server creation to enable method inspection for short-circuiting Co-authored-by: Fatih Kadir Akın <fka@fka.dev>
prompts.chat
The world's largest open-source prompt library for AI
Works with ChatGPT, Claude, Gemini, Llama, Mistral, and more
formerly known as Awesome ChatGPT Prompts
🌐 Browse Prompts • 📖 Read the Book • 📄 View on GitHub • 🚀 Self-Host
🏆 Featured in Forbes ·
🎓 Referenced by Harvard, Columbia ·
📄 40+ academic citations ·
❤️ Most liked dataset on Hugging Face
⭐ 143k+ GitHub stars ·
🏅 GitHub Staff Pick ·
🚀 First prompt library (Dec 2022)
Loved by AI pioneers:
Greg Brockman (OpenAI Co-Founder) ·
Wojciech Zaremba (OpenAI Co-Founder) ·
Clement Delangue (Hugging Face CEO) ·
Thomas Dohmke (Former GitHub CEO)
What is this?
A curated collection of prompt examples for AI chat models. Originally created for ChatGPT, these prompts work great with any modern AI assistant.
| Browse Prompts | Data Formats |
|---|---|
| prompts.chat | prompts.csv |
| PROMPTS.md | Hugging Face Dataset |
Want to contribute? Add prompts at prompts.chat/prompts/new — they sync here automatically.
📖 The Interactive Book of Prompting
Learn prompt engineering with our free, interactive guide — 25+ chapters covering everything from basics to advanced techniques like chain-of-thought reasoning, few-shot learning, and AI agents.
🎮 Prompting for Kids
An interactive, game-based adventure to teach children (ages 8-14) how to communicate with AI through fun puzzles and stories.
🚀 Self-Hosting
Deploy your own private prompt library with custom branding, themes, and authentication.
Quick Start:
npx prompts.chat new my-prompt-library
cd my-prompt-library
Manual Setup:
git clone https://github.com/f/prompts.chat.git
cd prompts.chat
npm install && npm run setup
The setup wizard configures branding, theme, authentication (GitHub/Google/Azure AD), and features.
📖 Full Self-Hosting Guide • 🐳 Docker Guide
🔌 Integrations
CLI
npx prompts.chat
Claude Code Plugin
/plugin marketplace add f/prompts.chat
/plugin install prompts.chat@prompts.chat
MCP Server
Use prompts.chat as an MCP server in your AI tools.
Remote (recommended):
{
"mcpServers": {
"prompts.chat": {
"url": "https://prompts.chat/api/mcp"
}
}
}
Local:
{
"mcpServers": {
"prompts.chat": {
"command": "npx",
"args": ["-y", "prompts.chat", "mcp"]
}
}
}
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👥 Contributors
📜 License
CC0 1.0 Universal (Public Domain) — Copy, modify, distribute, and use freely. No attribution required.