https://github.com/instructa/ai-prompts-mcp
Model Context Protocl for AI Prompts API
https://github.com/instructa/ai-prompts-mcp
Last synced: 7 months ago
JSON representation
Model Context Protocl for AI Prompts API
- Host: GitHub
- URL: https://github.com/instructa/ai-prompts-mcp
- Owner: instructa
- Created: 2025-03-03T06:08:29.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-14T12:03:26.000Z (7 months ago)
- Last Synced: 2025-03-14T13:22:59.149Z (7 months ago)
- Language: TypeScript
- Size: 32.2 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-mcp-servers - Ai Prompts Mcp - A Model Context Protocol implementation for managing and serving AI prompts with a TypeScript architecture, showcasing MCP server capabilities for AI prompt management. ([Read more](/details/ai-prompts-mcp.md)) `mcp` `prompt-management` `typescript` `ai-integration` `open-source` (AI Integration MCP Servers)
- mcp-index - Instructa AI Prompts API - 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. (Developer Tools)
README
# 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:
```bash
git clone https://github.com/yourusername/instructa-ai.git
cd instructa-ai
```
2. Install dependencies:
```bash
pnpm install
```
3. Set up environment variables:
```bash
cp packages/mcp/.env.dist packages/mcp/.env
# Edit .env file with your configuration
```
## 🏃♂️ Development
To start the development server:
```bash
# 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
- X/Twitter: [@kregenrek](https://x.com/kregenrek)
- Bluesky: [@kevinkern.dev](https://bsky.app/profile/kevinkern.dev)
## 📝 License
[MIT License](https://github.com/instructa/ai-prompts/blob/main/LICENSE)
This repository is open-source under the MIT license. You're free to use, modify, and distribute it under those terms. Enjoy building!