Mentioned in the social links section with a connection to the developer's profile (@kevinkern.dev), suggesting potential Bluesky integration or compatibility.
Used for environment configuration management, allowing customization of the server through environment variables.
Used for repository cloning as part of the installation process, indicating Git integration for source control management.
Repository is hosted on GitHub as indicated in the cloning instructions and license link, providing integration with GitHub's platform for project hosting.
Required as a prerequisite for running the server, providing the JavaScript runtime environment.
Used as the package manager for the project's monorepo structure, managing dependencies and workspaces.
Used as the primary programming language for the project, providing type safety and modern JavaScript features.
Used for the workspace configuration with pnpm-workspace.yaml mentioned in the project structure.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Instructa AI Prompts MCP show me the top trending AI prompts for this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: SupaUI MCP Server
Node.js (LTS version recommended)
pnpm (Package manager)
Clone the repository:
git clone https://github.com/yourusername/instructa-ai.git
cd instructa-aiInstall dependencies:
pnpm installSet up environment variables:
cp packages/mcp/.env.dist packages/mcp/.env
# Edit .env file with your configurationTo 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.yamlContributions, 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!
This server cannot be deployed
A Model Context Protocol server for Wix AI tools
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
A Model Context Protocol (MCP) application for automated GitHub PR analysis and issue management.…
Share one project context across ChatGPT, Claude, Telegram and any MCP client.
