Ai Prompts Mcp

Manage and serve AI prompts using a TypeScript-based API that implements the Model Context Protocol. This server streamlines prompt handling and enhances AI applications through environment-based configuration and a monorepo structure.

Author

Ai Prompts Mcp logo

instructa

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Quick Info

GitHub GitHub Stars 15
NPM Weekly Downloads 0
Tools 1
Last Updated 14/8/2025

Tags

developer ai development developer tools ai prompts workflow environment

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.

🚀 Features

  • MCP (Model Context Protocol) implementation
  • TypeScript-based architecture
  • Monorepo structure using pnpm workspaces
  • Environment-based configuration

📋 Prerequisites

  • Node.js (LTS version recommended)
  • pnpm (Package manager)

🛠️ 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

🏃‍♂️ 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

🏗️ Project Structure

.
├── packages/
│   └── mcp/          # MCP implementation package
│       ├── src/      # Source code
│       └── .env      # Environment configuration
├── package.json      # Root package.json
└── pnpm-workspace.yaml

🤝 Contributing

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

🌐 Social

📝 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!