What runtime does the generated project require?
The generated project requires Node.js and npm (or another package manager) to install dependencies and run the server.
@bsmi021
基本信息
A comprehensive architecture for building robust Model Context Protocol (MCP) servers with integrated web capabilities
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"create-advanced-mcp-server": {
"command": "npx",
"args": [
"create-advanced-mcp-server",
"my-mcp-server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
create-mcp-server is a CLI tool that scaffolds a complete Model Context Protocol (MCP) server project with optional web capabilities. It follows the MCP Advanced Node specification and is intended for developers starting a new MCP server from a robust TypeScript foundation.
Install globally with npm install -g create-advanced-mcp-server, then run npx create-advanced-mcp-server my-mcp-server to generate a project interactively. Use flags like --yes for defaults, --skip-install to skip dependency installation, or --verbose for detailed output.
The generated project requires Node.js and npm (or another package manager) to install dependencies and run the server.
You can use `--yes` to accept all defaults, `--skip-install` to skip installing dependencies, and `--verbose` for detailed logs during scaffolding.
The project is distributed under the MIT license.
A curated list of references for MLOps
A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
🚀 The fast, Pythonic way to build MCP servers and clients.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
评论