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    Promptmanager

    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.).

    0 stars
    Python
    Updated Jun 11, 2025

    Table of Contents

    • Overview
    • Features
    • Quick Start
    • Usage
    • API Endpoints
    • Prompt Management
    • Directory Management
    • WebSocket Interface
    • Configuration
    • MCP Integration
    • Development & Testing
    • License

    Table of Contents

    • Overview
    • Features
    • Quick Start
    • Usage
    • API Endpoints
    • Prompt Management
    • Directory Management
    • WebSocket Interface
    • Configuration
    • MCP Integration
    • Development & Testing
    • License

    Documentation

    Prompt Manager

    A standalone system for managing AI prompts with composable elements.

    Overview

    Prompt Manager provides a web interface and API for creating, organizing, and managing prompts for AI interactions. It supports composable templates, prompt directories, and real-time editing. There is a focus on keyboard shortcuts and efficient workflow- directory listing and prompt embedding support tab completion, most interactions can be navigated using keyboard shortcuts, etc.

    Features

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

    Quick Start

    1. Clone the repository:

    bash
    git clone 
       cd prompt_manager

    2. Set up the environment (choose one):

    bash
    # Using Taskfile (recommended for full dev setup)
       task setup:py
       task setup:js
       task setup:e2e
       # Or using Makefile
       make setup

    3. Run the application:

    bash
    ./bin/start_prompt_manager.sh
       # Or
       bin/restart_prompt_manager.sh

    4. Open your browser to http://localhost:8081

    Usage

    The prompt manager can be used in two ways:

    1. Web Interface: Access the web UI at http://localhost:8081

    2. API: Use the RESTful API endpoints to programmatically manage prompts

    API Endpoints

    Prompt Management

    • GET /api/prompts/all: List all prompts
    • GET /api/prompts/{prompt_id}: Get a specific prompt
    • POST /api/prompts: Create a new prompt
    • PUT /api/prompts/{prompt_id}: Update a prompt
    • DELETE /api/prompts/{prompt_id}: Delete a prompt
    • POST /api/prompts/expand: Render a template with inclusions expanded
    • POST /api/prompts/rename: Rename a prompt

    Directory Management

    • GET /api/prompts/directories/all: List all prompt directories
    • POST /api/prompts/directories: Add a new directory
    • DELETE /api/prompts/directories/{directory_path}: Remove a directory
    • POST /api/prompts/reload: Reload all prompts from all directories

    WebSocket Interface

    • Connect to /api/prompts/ws/{prompt_id} for real-time prompt editing
    • Uses standard WebSocket protocol with JSON messages for updates

    Configuration

    The system uses several directories for prompt storage:

    • Project data directory: prompt_manager/data/prompts/
    • User config directory: ~/.prompt_manager/prompts/

    MCP Integration

    Prompt Manager supports integration with the Model Context Protocol (MCP) for advanced prompt workflows and Claude Desktop compatibility. See mcp_server/ and related scripts for details.

    Development & Testing

    • Run tests with pytest or using the provided Taskfile/Makefile targets.
    • See CHANGES.md for recent updates and protocol fixes.
    • See README.md in mcp_server/ for MCP-specific details.

    License

    Apache License 2.0. See LICENSE.

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