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.
- MCP (Model Context Protocol) implementation
- TypeScript-based architecture
- Monorepo structure using pnpm workspaces
- Environment-based configuration
- Node.js (LTS version recommended)
- pnpm (Package manager)
- Clone the repository:
git clone https://github.com/yourusername/instructa-ai.git
cd instructa-ai
- Install dependencies:
pnpm install
- Set up environment variables:
cp packages/mcp/.env.dist packages/mcp/.env
# Edit .env file with your configuration
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
.
├── packages/
│ └── mcp/ # MCP implementation package
│ ├── src/ # Source code
│ └── .env # Environment configuration
├── package.json # Root package.json
└── pnpm-workspace.yaml
Contributions, issues, and feature requests are welcome! Feel free to check the issues page.
- X/Twitter: @kregenrek
- Bluesky: @kevinkern.dev
This repository is open-source under the MIT license. You're free to use, modify, and distribute it under those terms. Enjoy building!