Instructa AI Prompts MCP

by instructa
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2

Integrations

  • Used for environment configuration management, allowing customization of the server through environment variables.

  • Mentioned in the social links section with a connection to the developer's profile (@kevinkern.dev), suggesting potential Bluesky integration or compatibility.

  • Used for repository cloning as part of the installation process, indicating Git integration for source control management.

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!

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security - not tested
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license - not found
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quality - not tested

A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript-based architecture in a monorepo structure.

  1. 🚀 Features
    1. 📋 Prerequisites
      1. 🛠️ Installation
        1. 🏃‍♂️ Development
          1. 🏗️ Project Structure
            1. 🤝 Contributing
              1. 🌐 Social
                1. 📝 License

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