Ai Prompts Mcp
What is Ai Prompts Mcp
ai-prompts-mcp is an implementation of the Model Context Protocol (MCP) designed for managing and serving AI prompts through an API.
Use cases
Use cases include building AI applications that need to manage multiple prompts, integrating with other AI services, and developing custom AI solutions.
How to use
To use ai-prompts-mcp, clone the repository, install dependencies using pnpm, set up environment variables, and start the development or production server as needed.
Key features
Key features include a TypeScript-based architecture, MCP implementation, monorepo structure using pnpm workspaces, and environment-based configuration.
Where to use
ai-prompts-mcp can be used in AI development environments, particularly for applications that require dynamic prompt management and serving.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Ai Prompts Mcp
ai-prompts-mcp is an implementation of the Model Context Protocol (MCP) designed for managing and serving AI prompts through an API.
Use cases
Use cases include building AI applications that need to manage multiple prompts, integrating with other AI services, and developing custom AI solutions.
How to use
To use ai-prompts-mcp, clone the repository, install dependencies using pnpm, set up environment variables, and start the development or production server as needed.
Key features
Key features include a TypeScript-based architecture, MCP implementation, monorepo structure using pnpm workspaces, and environment-based configuration.
Where to use
ai-prompts-mcp can be used in AI development environments, particularly for applications that require dynamic prompt management and serving.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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
- 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
🏃♂️ 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
- X/Twitter: @kregenrek
- Bluesky: @kevinkern.dev
📝 License
This repository is open-source under the MIT license. You’re free to use, modify, and distribute it under those terms. Enjoy building!
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
