# Prompt management

An AI prompt management server based on Rust, following the Model Context Protocol standard, providing prompt storage, retrieval, template variable support, and multi - backend storage functions.

An AI agent server based on the Model Context Protocol, providing system prompt and tool management functions

Layer Prompt Manager is a tool for saving, versioning, and managing custom AI prompts in code repositories, which can be seamlessly integrated with AI-driven IDEs.

The MCP Prompts Server is a service system for managing and applying AI prompt templates, supporting multi-format conversion, variable replacement, and resource integration. It can work in collaboration with other MCP services.

An AI prompt management server connected to the Notion database, supporting multi - prompt library management, search and retrieval, and cross - library operations

mcpn.ai is a tool that helps users create, organize, and share AI workflows and prompts, similar to a dynamic prompt library that can be shared and version - controlled across MCP tools and servers.

An AI agent server based on the Model Context Protocol (MCP), providing system prompt management and tool expansion functions, supporting the creation, management, and version control of AI agents.

The MCP server of MLflow Prompt Registry enables access to and management of prompt templates from MLflow.