Codepromptmanagermcp

🚀 Layer Prompt Manager

Save, version control, and manage custom AI prompts for your code repositories. Seamlessly integrate with AI-driven IDEs like Cursor and GitHub Copilot.

🚀 Quick Start

The Layer Prompt Manager allows you to save, version control, and manage custom AI prompts for your code repositories. It integrates seamlessly with AI-driven IDEs such as Cursor and GitHub Copilot.

✨ Features

1. Save Prompts from Your IDE

Create and save custom prompts directly from your AI-driven IDE. The MCP server connects your development environment to Layer, enabling you to build an effective prompt library tailored to specific codebases.

2. Version Control for Prompts

Track prompts as they evolve over time. Compare different versions to see which one works best. Easily roll back to previous versions when needed.

3. Layer Prompts

• Access all Layer prompts
• Edit existing prompts
• Create new AI-driven code assistant prompts
• Manage prompt versions

4. Templates

• Use ready-made templates
• Create your own templates
• Standardize AI interactions across your development team
• Share and reuse common prompt patterns

5. Modern UI

• Matrix-inspired design
• Dark mode interface
• Responsive layout
• Interactive components

📚 Documentation

Project Structure

├── frontend/
│   ├── app/
│   │   ├── prompts/      # Prompt management page
│   │   ├── templates/    # Template management page
│   │   ├── tools/        # Tool-related components
│   │   └── docs/         # Documentation page
│   ├── components/       # Reusable UI components
│   └── lib/             # API and utility functions
├── backend/
│   └── main.py          # FastAPI backend server

Setup Instructions

Prerequisites

• Node.js (v16 or higher)
• Python 3.8+
• pip
• SQLite

Backend Setup

1. Create a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env file in the root directory:

LAYER_API_KEY=your_layer_api_key
LAYER_BASE_URL=https://api.buildwithlayer.com

4. Start the backend server:

uvicorn main:app --reload

Frontend Setup

1. Install dependencies:

cd frontend
npm install

2. Create a .env.local file:

NEXT_PUBLIC_API_URL=http://localhost:8000

3. Start the development server:

npm run dev

Usage

1. Create Prompts

   • Navigate to "Layer Prompts".
   • Click "New Prompt".
   • Fill in prompt details, steps, and parameters.
   • Save and version control your prompts.

2. Manage Templates

   • Go to "Templates".
   • Create new templates or use existing ones.
   • Edit and customize templates for your team.

3. Version Control

   • Each prompt can have multiple versions.
   • Add change comments to track versions.
   • Compare and restore previous versions.

Environment Variables

Backend (.env):

LAYER_API_KEY=your_layer_api_key
LAYER_BASE_URL=https://api.buildwithlayer.com

Frontend (.env.local):

NEXT_PUBLIC_API_URL=http://localhost:8000

.gitignore

# Dependencies
node_modules/
venv/
__pycache__/

# Environment Variables
.env
.env.local
.env.development.local
.env.test.local
.env.production.local

# Build Output
.next/
build/
dist/

# IDE
.vscode/
.idea/

# Databases
*.db
*.sqlite3

# Logs
*.log
*.txt

# Others
.DS_Store