Prompt Manager MCP Server

@appositeit

代码仓库

基本信息

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开发工具

许可证

View license

传输方式

stdio

作者

appositeit

关于 Prompt Manager MCP Server

A web and API-based system for managing, composing, and organizing AI prompts, with an MCP server for intetgration with common AI pltforms (Claude Desktop, Cursor, Windsurf, etc.).

#promptmanager#ai-prompts #prompt-management

Prompt Manager MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Prompt Manager MCP Server 工具

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概览

What is Prompt Manager?

Prompt Manager is a standalone system for managing AI prompts with composable elements. It provides a web interface and RESTful API for creating, organizing, and editing prompts, and integrates with the Model Context Protocol (MCP) for advanced prompt workflows. It targets users who need efficient, keyboard-driven prompt management.

How to use Prompt Manager?

Clone the repository, set up the environment using the provided Taskfile (recommended) or Makefile, then run the startup script. Access the web UI at http://localhost:8081 or use the REST API endpoints programmatically. For real-time editing, connect via WebSocket to /api/prompts/ws/{prompt_id}.

Key features of Prompt Manager

Create and manage standard and composite prompts
Compose templates with prompt inclusions and expansions
Real-time editing via WebSocket
Access prompts via RESTful API
Organize prompts in directories
Integrates with Model Context Protocol (MCP)

Use cases of Prompt Manager

Managing a library of reusable prompt templates for AI interactions
Building composite prompts that include and expand other prompts
Editing prompts collaboratively in real time via WebSocket
Automating prompt retrieval and updates through the REST API
Leveraging MCP integration for Claude Desktop compatibility

常见问题

How do I install and run Prompt Manager?

Clone the repository, then set up the environment using `task setup:py`, `task setup:js` (or `make setup`), and run `./bin/start_prompt_manager.sh`. Open `http://localhost:8081` in a browser.

Where are prompts stored?

Prompts are stored in the project data directory (`prompt_manager/data/prompts/`) and the user config directory (`~/.prompt_manager/prompts/`).

What transports and APIs are available?

Prompt Manager offers a RESTful API for CRUD operations on prompts and directories, a WebSocket interface for real-time editing, and integration with the Model Context Protocol (MCP) for advanced workflows.

Does Prompt Manager require authentication?

The README does not mention any authentication mechanism for the web interface or API.

What are the runtime dependencies?

The setup requires Python and JavaScript environments, managed via a Taskfile or Makefile. The application runs on localhost port 8081 by default.

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