Prompts
Manages and provides prompt templates for large language models, supporting file-based storage, real-time caching, and structured metadata.
About
The Prompts server acts as a centralized Model Context Protocol (MCP) hub for managing and delivering prompt templates to Large Language Models (LLMs) and other AI clients. It enables users and LLMs to effortlessly add, retrieve, list, and delete prompt templates, which are stored as markdown files with robust YAML frontmatter support for structured metadata. Featuring real-time in-memory caching with automatic file change monitoring, the server ensures efficient prompt access and organization, streamlining interactions with AI models.
Key Features
- Comprehensive MCP Toolset: Tools for adding, retrieving, listing, and deleting prompts
- Real-time Caching: In-memory cache with automatic file change monitoring
- File-based Storage: Prompts saved as markdown files with YAML frontmatter
- Structured Prompt Creation: Guided metadata structure and validation for new prompts
- 1 GitHub stars
- Full TypeScript Implementation: Comprehensive type definitions and modular architecture
Use Cases
- Centralizing and sharing a consistent collection of prompt templates across development teams or organizations
- Integrating custom prompt libraries with MCP-compatible AI clients like Claude Desktop, Cline, Continue.dev, and Zed Editor
- Programmatically managing and organizing LLM prompts via a structured API for AI application development
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