Prompt Library▌

by seungwonme
Prompt Library saves and organizes prompts as local markdown files, creating a personal prompt library across sessions f
Saves and manages prompts locally as timestamped markdown files with chronological organization for building a persistent personal prompt library across sessions.
best for
- / Building a personal prompt library for reuse
- / Tracking prompt iterations and experiments
- / Sharing prompts between different AI sessions
capabilities
- / Save prompts with timestamps to local markdown files
- / List previously saved prompts from the prompts directory
- / Organize prompts chronologically with automatic file naming
- / Access saved prompts across different sessions
what it does
Saves prompts as timestamped markdown files in a local directory and lets you list them later. Builds a persistent personal prompt collection that survives across chat sessions.
about
Prompt Library is a community-built MCP server published by seungwonme that provides AI assistants with tools and capabilities via the Model Context Protocol. Prompt Library saves and organizes prompts as local markdown files, creating a personal prompt library across sessions f It is categorized under productivity. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Prompt Library in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Prompt Library is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
prompt-new-mcp
A Model Context Protocol (MCP) server for saving and managing prompts. This tool allows you to save prompts with timestamps and list previously saved prompts.
Installation
You can run this MCP server directly using npx without installation:
npx prompt-new-mcp
Usage with Claude Desktop
Add this server to your Claude Desktop configuration:
macOS
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"prompt-new-mcp": {
"command": "npx",
"args": ["-y", "prompt-new-mcp"]
}
}
}
Windows
Edit %APPDATA%\Claude\claude_desktop_config.json:
{
"mcpServers": {
"prompt-new-mcp": {
"command": "npx",
"args": ["-y", "prompt-new-mcp"]
}
}
}
Available Tools
save
Saves a prompt with a timestamp to the prompts directory.
Parameters:
name(string): The name for the prompt filecontent(string): The prompt content to save
list
Lists saved prompts in the prompts directory.
Parameters:
limit(number, optional): Maximum number of prompts to return (default: 20)
File Organization
Prompts are saved in the prompts directory with the following naming convention:
YYYYMMDD_HHMMSS_<sanitized-name>.md
Example: 20250125_143022_user-question.md
Requirements
- Node.js 18 or higher
- Compatible with Claude Desktop and other MCP clients
License
MIT
FAQ
- What is the Prompt Library MCP server?
- Prompt Library is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Prompt Library?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Prompt Library is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Prompt Library against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Prompt Library is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Prompt Library reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Prompt Library for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Prompt Library surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Prompt Library has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Prompt Library benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Prompt Library into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Prompt Library is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.