Serverless MCP Cli

@eleva

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

eleva

关于 Serverless MCP Cli

暂无概览

#serverless #aws #cli

Serverless MCP Cli 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Serverless MCP Cli 工具

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。

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 serverless-mcp-cli?

A command-line tool that scaffolds a new serverless Model Context Protocol (MCP) project on AWS, allowing developers to choose their preferred framework.

How to use serverless-mcp-cli?

Install globally via npm: npm install -g serverless-mcp-cli. Then run serverless-mcp-cli init with optional flags -d <directory> for custom output directory or -s for silent mode.

Key features of serverless-mcp-cli

Initializes a serverless MCP project on AWS
Supports choosing a preferred framework
Provides a simple init command
Allows custom directory via -d flag
Offers silent mode via -s flag
Includes built-in help command

Use cases of serverless-mcp-cli

Quickly bootstrap a new MCP server project on AWS
Standardize MCP project setup across teams
Integrate MCP into serverless workflows with a chosen framework

常见问题

What does serverless-mcp-cli do?

It initializes a serverless MCP project on AWS with your preferred framework.

How do I install serverless-mcp-cli?

Install globally via npm: `npm install -g serverless-mcp-cli`.

What commands are available?

The main command is `serverless-mcp-cli init`; also `serverless-mcp-cli help`.

Can I specify the output directory?

Yes, use the `-d <directory>` flag.

Is there a silent mode?

Yes, use the `-s` flag to suppress the welcome message.

开发工具分类下的更多 MCP 服务器

GripForge

gripforgeai

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U

OrangePro

Aamir Siddiqui

OrangePro local-first CLI + MCP server for behavior mapping, grounded test generation, and dynamic proof.

CircleCI MCP Server

CircleCI

Manage CI/CD pipelines, debug failed builds, and optimize test suites directly from your AI agents - no terminal required. The CircleCI MCP Server is a remote server hosted by CircleCI that connects AI tools and agents

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.

FARPY

mangomunchr

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP