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MCP Prompts API

MCP Prompts API manages AI prompts using the Model Context Protocol with TypeScript and pnpm workspaces for efficient development.

Introduction

Instructa AI - MCP Prompts API

This repository contains a Model Context Protocol (MCP) implementation for managing and serving AI prompts. The project is built using TypeScript and follows a monorepo structure using pnpm workspaces.

šŸš€ Features
  • MCP (Model Context Protocol) implementation
  • TypeScript-based architecture
  • Monorepo structure using pnpm workspaces
  • Environment-based configuration
šŸ“‹ Prerequisites
  • Node.js (LTS version recommended)
  • pnpm (Package manager)
šŸ› ļø Installation
  1. Clone the repository:
git clone https://github.com/yourusername/instructa-ai.git
cd instructa-ai
  1. Install dependencies:
pnpm install
  1. Set up environment variables:
cp packages/mcp/.env.dist packages/mcp/.env
# Edit .env file with your configuration
šŸƒā€ā™‚ļø Development

To start the development server:

# Start MCP development server
pnpm dev:mcp
 
# Build MCP package
pnpm build:mcp
 
# Start MCP production server
pnpm start:mcp
šŸ—ļø Project Structure
.
ā”œā”€ā”€ packages/
ā”‚   ā””ā”€ā”€ mcp/          # MCP implementation package
ā”‚       ā”œā”€ā”€ src/      # Source code
ā”‚       ā””ā”€ā”€ .env      # Environment configuration
ā”œā”€ā”€ package.json      # Root package.json
ā””ā”€ā”€ pnpm-workspace.yaml
šŸ¤ Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

šŸŒ Social
šŸ“ License

MIT License

This repository is open-source under the MIT license. You're free to use, modify, and distribute it under those terms. Enjoy building!

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