Prompt Manager
About
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.).
Details
- License
- View license
Explore
- 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
1. Clone the repository:
git clone <repository-url>
cd prompt_manager
2. Set up the environment (choose one):
```bash
task setup:py
task setup:js
task setup:e2e
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 workflowsQuick Start
1. Clone the repository: git clone <repository-url>
cd prompt_manager
2. Set up the environment (choose one):
# 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:
./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 promptsAPI 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. Seemcp_server/ and related scripts for details.
Development & Testing
- Run tests withpytest 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.Sign in to leave a review
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