Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
A LocalStack MCP Server providing essential tools for local cloud development & testing
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
LOCALSTACK_AUTH_TOKEN, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN, AWS_DEFAULT_REGION, AWS_REPLICATOR_SOURCE_AWS_ACCESS_KEY_ID, AWS_REPLICATOR_SOURCE_AWS_SECRET_ACCESS_KEY, AWS_REPLICATOR_SOURCE_AWS_SESSION_TOKEN, AWS_REPLICATOR_SOURCE_REGION_NAME, AWS_REPLICATOR_SOURCE_ENDPOINT_URL, APP_INSPECTOR标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"localstack": {
"command": "npx",
"args": [
"-y",
"@localstack/localstack-mcp-server"
],
"env": {
"LOCALSTACK_AUTH_TOKEN": "your-value",
"AWS_ACCESS_KEY_ID": "your-value",
"AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_SESSION_TOKEN": "your-value",
"AWS_DEFAULT_REGION": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_ACCESS_KEY_ID": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_SESSION_TOKEN": "your-value",
"AWS_REPLICATOR_SOURCE_REGION_NAME": "your-value",
"AWS_REPLICATOR_SOURCE_ENDPOINT_URL": "your-value",
"APP_INSPECTOR": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add localstack --env LOCALSTACK_AUTH_TOKEN=your-value --env AWS_ACCESS_KEY_ID=your-value --env AWS_SECRET_ACCESS_KEY=your-value --env AWS_SESSION_TOKEN=your-value --env AWS_DEFAULT_REGION=your-value --env AWS_REPLICATOR_SOURCE_AWS_ACCESS_KEY_ID=your-value --env AWS_REPLICATOR_SOURCE_AWS_SECRET_ACCESS_KEY=your-value --env AWS_REPLICATOR_SOURCE_AWS_SESSION_TOKEN=your-value --env AWS_REPLICATOR_SOURCE_REGION_NAME=your-value --env AWS_REPLICATOR_SOURCE_ENDPOINT_URL=your-value --env APP_INSPECTOR=your-value -- npx -y @localstack/localstack-mcp-server运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"localstack": {
"command": "npx",
"args": [
"-y",
"@localstack/localstack-mcp-server"
],
"env": {
"LOCALSTACK_AUTH_TOKEN": "your-value",
"AWS_ACCESS_KEY_ID": "your-value",
"AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_SESSION_TOKEN": "your-value",
"AWS_DEFAULT_REGION": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_ACCESS_KEY_ID": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_SESSION_TOKEN": "your-value",
"AWS_REPLICATOR_SOURCE_REGION_NAME": "your-value",
"AWS_REPLICATOR_SOURCE_ENDPOINT_URL": "your-value",
"APP_INSPECTOR": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"localstack": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@localstack/localstack-mcp-server"
],
"env": {
"LOCALSTACK_AUTH_TOKEN": "your-value",
"AWS_ACCESS_KEY_ID": "your-value",
"AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_SESSION_TOKEN": "your-value",
"AWS_DEFAULT_REGION": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_ACCESS_KEY_ID": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_REPLICATOR_SOURCE_AWS_SESSION_TOKEN": "your-value",
"AWS_REPLICATOR_SOURCE_REGION_NAME": "your-value",
"AWS_REPLICATOR_SOURCE_ENDPOINT_URL": "your-value",
"APP_INSPECTOR": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
AWS_DEFAULT_REGION envAWS_REPLICATOR_SOURCE_REGION_NAME envAWS_REPLICATOR_SOURCE_ENDPOINT_URL envAPP_INSPECTOR env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 localstack 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:LOCALSTACK_AUTH_TOKEN, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN, AWS_REPLICATOR_SOURCE_AWS_ACCESS_KEY_ID, AWS_REPLICATOR_SOURCE_AWS_SECRET_ACCESS_KEY, AWS_REPLICATOR_SOURCE_AWS_SESSION_TOKEN
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.5.0)于5个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, Dechonet MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Let an AI agent manage and interact with LocalStack on your machine.
[!IMPORTANT]
The LocalStack MCP server is currently available as an experimental public preview. For questions, issues or feedback, please utilize the LocalStack Community slack or submit a GitHub Issue
LocalStack emulates the cloud on your local machine so software teams and AI agents can validate security, quality, and reliability faster and more safely than the cloud allows. This Model Context Protocol (MCP) server lets any MCP client (Cursor, Claude, VS Code, and more) start LocalStack, deploy infrastructure, and debug your local cloud in natural language.
Set up the server in your MCP client with the interactive wizard:
npx -y @localstack/localstack-mcp-server init
The wizard detects your installed clients, asks how you want to run the server, and writes the configuration for you. You need a LocalStack Auth Token; the wizard reads LOCALSTACK_AUTH_TOKEN from your environment or asks for it. For the full options, prerequisites, and manual setup, see Installation.
Once the server is configured, talk to LocalStack through your agent in natural language:
./infra, then tell me which resources came up."./data/sample.csv to a new blob container."The server connects MCP-compatible apps directly to your local LocalStack environment and its emulated AWS services, so your assistant can operate the stack securely without custom scripts or manual setup.
This server eliminates custom scripts and manual LocalStack management. Your agent can:
This server provides your AI with dedicated tools for managing your LocalStack environment:
[!NOTE]
All tools in this MCP server require
LOCALSTACK_AUTH_TOKEN.
| Tool Name | Description | Key Features |
|---|
| localstack-management | Manages LocalStack runtime operations for AWS, Snowflake and Azure stacks | - Execute start, stop, restart, and status checks
| localstack-deployer | Handles infrastructure deployment to LocalStack for AWS environments | - Automatically run CDK, Terraform, and SAM tooling to deploy infrastructure locally
cdklocal, tflocal, or samlocal installed in your system path || localstack-logs-analysis | Analyzes LocalStack for AWS logs for troubleshooting and insights | - Offer multiple analysis options including summaries, errors, requests, and raw data
| localstack-iam-policy-analyzer | Handles IAM policy management and violation remediation | - Set IAM enforcement levels including enforced, soft, and disabled modes
| localstack-chaos-injector | Injects and manages chaos experiment faults for system resilience testing | - Inject, add, remove, and clear service fault rules
| localstack-cloud-pods | Manages remote LocalStack Cloud Pods for development workflows | - Save current state as a Cloud Pod
| localstack-state-management | Manages local file-based LocalStack state export/import workflows | - Export LocalStack state to a local file on disk through the LocalStack State REST API
| localstack-extensions | Installs, uninstalls, lists, and discovers LocalStack Extensions | - Manage installed extensions (list, install, uninstall) inside the running container
available)| localstack-ephemeral-instances | Manages cloud-hosted LocalStack Ephemeral Instances | - Create temporary cloud-hosted LocalStack instances and get an endpoint URL
| localstack-aws-client | Runs AWS CLI commands inside the LocalStack for AWS container | - Executes commands via awslocal inside the running container
| localstack-azure-client | Runs Azure CLI (`a
只显示了开头部分;其余内容请在仓库中阅读