Alper Hoca ile MCP Server
@altudev
关于 Alper Hoca ile MCP Server
Next.js ile oluşturulmuş MCP Server projesi
基本信息
配置
工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Alper Hoca ile MCP Server?
It is an MCP Server project built with Next.js 14. The README describes a standard Next.js web application setup using Tailwind CSS and TypeScript, with no details on the actual MCP protocol or data integration.
How to use Alper Hoca ile MCP Server?
Install dependencies with npm install, then start the development server with npm run dev. The application is accessible at http://localhost:3000.
Key features of Alper Hoca ile MCP Server
- Built with Next.js 14
- Styled using Tailwind CSS
- Supports TypeScript
Use cases of Alper Hoca ile MCP Server
—
FAQ from Alper Hoca ile MCP Server
What is this project?
It is an MCP Server project created with Next.js.
How do I install the project?
Run npm install to install all dependencies.
How do I start the development server?
Run npm run dev and open http://localhost:3000 in your browser.
What technologies are used?
Next.js 14, React, Tailwind CSS, and TypeScript.
其他 分类下的更多 MCP 服务器
Inbox Zero AI MCP
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
Mcp
browsermcpBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
Peekaboo MCP – lightning-fast macOS screenshots for AI agents
steipetePeekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.
评论