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InsideOut (Riley)

作者:luthersystems版本 0.36.3i★ –i电脑或云端
注册名称com.luthersystems.insideout/mcp

安装

概览

作者提供的说明(英文原文)

Designs, prices, and deploys AWS/GCP cloud infrastructure from plain-English requirements.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://app.luthersystems.com/v1/insideout-mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "insideout": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/luthersystems/insideout-mcp:v0.36.3"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http insideout https://app.luthersystems.com/v1/insideout-mcp

或者在你的电脑上运行

claude mcp add insideout -- docker run -i --rm docker.io/luthersystems/insideout-mcp:v0.36.3

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "insideout": {
      "url": "https://app.luthersystems.com/v1/insideout-mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "insideout": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/luthersystems/insideout-mcp:v0.36.3"
      ]
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "insideout": {
      "type": "http",
      "url": "https://app.luthersystems.com/v1/insideout-mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "insideout": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/luthersystems/insideout-mcp:v0.36.3"
      ]
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://app.luthersystems.com/v1/insideout-mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 insideout.luthersystems.com 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1396 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1396 个服务器的 16% 更新
  • 基础检查结果等于或优于此分类中其他 1396 个服务器的 100%

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。

常见问题

InsideOut (Riley) 安全吗?

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。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.36.3)于6个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

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

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

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。

InsideOut by Luther Systems

Cloud infrastructure automation. Describe your application in natural language and InsideOut will design, configure, deploy, and manage production-ready backend infrastructure -- in minutes, not weeks.

Works standalone or integrated directly into AI app builders via MCP.


Quick Install (30 seconds)

npx skills add luthersystems/insideout-agent-skills

Works with Claude Code, Codex, Cursor, Kiro, Windsurf, and 30+ other tools.

[View on Skills.sh](https://skills.sh/luthersystems/insideout-agent-skills/insideout) | [Try the web app](https://insideout.luthersystemsapp.com/) -- no install required.


What Problem Does InsideOut Solve?

Setting up cloud infrastructure is slow, error-prone, and requires deep DevOps expertise. Teams spend weeks on plumbing -- networking, security, storage, scaling configuration -- before writing a single line of product code.

InsideOut eliminates this. You describe your application; InsideOut handles the rest: architecture design, Terraform generation, cost estimation, deployment, and ongoing management.

Before InsideOut: Weeks of manual infrastructure setup, Terraform authoring, and cloud configuration. With InsideOut: Backend infrastructure deployed in minutes, managed continuously.

CapabilityManual TerraformInsideOut
Time to deployDays to weeksMinutes
Security defaultsManualAutomatic
Cost visibilityPost-deploy billingPre-deploy estimates
Observability setupManualDay one
AI app builder integrationNoneNative (Claude Code, Codex, Kiro, Antigravity)
Terraform ownershipYesYes (generated, exportable)

What You Can Do

  • Design AWS/GCP architectures conversationally
  • Get real-time cost estimates before deploying
  • Generate production-ready Terraform
  • Deploy infrastructure directly from your tool
  • Inspect environments and detect drift
  • Monitor logs and manage resources over time

Quick Start

Once installed, just ask:

"Build me a scalable backend for my golang microservices app on AWS with a DB and auth."

InsideOut will:

  1. Propose an architecture (ECS, RDS, Cognito, ALB, VPC...)
  2. Estimate monthly cost
  3. Generate production-ready Terraform
  4. Deploy to your AWS or GCP account
You: "I need infrastructure for an e-commerce platform, 1k monthly users on AWS"

Riley: "I'd recommend ECS for your containers, RDS PostgreSQL for your database, ElastiCache Redis for sessions, and an ALB. Estimated cost: ~$350/month. Want me to adjust anything?"

You: "Looks good, generate the Terraform"

[Generates production-ready Terraform files]

You: "Deploy it"

[Deploys to AWS, streams logs in real-time]


Who Is This For?

UserUse case
Solo developersShip a production backend without DevOps expertise
Startup engineering teamsMove from idea to deployed infrastructure in minutes
AI app buildersIntegrate infrastructure automation directly into AI-native development workflows
Enterprise teamsStandardise infrastructure with best practices and cost controls
DevOps / platform engineersFaster architecture and IaC workflows

If you'd rather describe what you want than manually wire it together -- this is for you.


Choose Your Path

PathBest forInstall
This repo (recommended for Codex)Portable skill across multiple AI toolsnpx skills add luthersystems/insideout-agent-skills
[Claude Code plugin](https://github.com/luthersystems/insideout-claude-code)Best native Claude Code experience/plugin marketplace add luthersystems/insideout-claude-code
[Kiro power](https://github.com/luthersystems/insideout-power)Best native Kiro experienceAdd power from GitHub: luthersystems/insideout-power
[Web app](https://insideout.luthersystemsapp.com/)No install requiredOpen in browser

Installation (Detailed)

Recommended: Skills CLI
npx skills add luthersystems/insideout-agent-skills
Claude Code

For the full plugin experience (slash commands, agents, hooks, auto-approve):

/plugin marketplace add luthersystems/insideout-claude-code

/plugin install insideout

Codex
npx skills add luthersystems/insideout-agent-skills --agent codex

Activate by typing $insideout -- Codex will detect the missing MCP server and prompt you to install it automatically.

Fallback: If the auto-install doesn't trigger, run: codex mcp add insideout --url https://app.luthersystems.com/v1/insideout-mcp

Cursor
npx skills add luthersystems/insideout-agent-skills --agent cursor

Then add the MCP server to your Cursor MCP config:

{

"mcpServers": { "insideout": { "type": "http", "url": "https://app.luthersystems.com/v1/insideout-mcp" } } }

Windsurf
npx skills add luthersystems/insideout-agent-skills --agent windsurf

Add MCP via Windsurf MCP Marketplace or manually in settings.

Kiro

For the full power experience (steering files, design pattern guides, auto-approve):

  1. Open the Powers panel
  2. Click Add power from GitHub
  3. Enter: luthersystems/insideout-power
Antigravity
npx skills add luthersystems/insideout-agent-skills --agent antigravity

Then add the MCP server in Antigravity: "..." menu → MCP Servers → Manage MCP Servers → View raw config:

{

"mcpServers": { "insideout": { "serverUrl": "https://app.luthersystems.com/v1/insideout-mcp" } } }

Note: Antigravity uses serverUrl, not url.

Manual Installation
git clone https://github.com/luthersystems/insideout-agent-skills.git

cp -r insideout-agent-skills ~/.agents/skills/insideout

The ~/.agents/skills/ directory is the standard cross-tool location. Most AI coding tools will detect skills here automatically.


Supported Services (60+)

CategoryAWSGCP
ComputeEC2, ECS, EKS, LambdaCompute Engine, Cloud Run, GKE, Cloud Functions
DatabaseRDS PostgreSQL, DynamoDB, ElastiCache, OpenSearchCloud SQL, Firestore, Memorystore
NetworkingVPC, ALB, CloudFront, API GatewayVPC, Load Balancing, Cloud CDN, API Gateway
StorageS3Cloud Storage
SecurityWAF, KMS, Secrets Manager, CognitoCloud Armor, Cloud KMS, Secret Manager, Identity Platform
MessagingSQS, MSK (Kafka)Pub/Sub
ObservabilityCloudWatch, Managed GrafanaCloud Logging, Cloud Monitoring
AI/MLBedrockVertex AI
CI/CDCodePipeline, GitHub ActionsCloud Build
BackupAWS BackupGCP Backups

Architecture patterns: AI Stack, Microservices, Serverless. Azure support is upcoming.


Core Capabilities

Infrastructure from Description

Describe your application in natural language. InsideOut generates the architecture, configuration, and Terraform. Review, tweak, and deploy -- all from one place.

Cost Visibility Before Deployment

Get cost estimates for your exact stack before committing. No surprise bills; pricing is surfaced at design time.

Secure and Observable by Default

Security best practices applied automatically. Observability configured from day one -- no retroactive setup needed.

Full Terraform Ownership

You own the generated Terraform files. Use InsideOut defaults or override any setting. No lock-in; the output is standard infrastructure-as-code.

Managed Operations

Luther Systems sets up and manages critical infrastructure. Ongoing updates and operational support included.


How It Works

InsideOut uses a multi-agent AI system behind a single MCP server:

AgentRole
RileyInfrastructure advisor -- leads the design conversation
HippoCost estimation and pricing optimization
JoyUser experience and requirement gathering
EtchTerraform code generation
CoreArchitecture validation and best practices
AxelDeployment orchestration

From your perspective, you're talking to Riley. The other agents work behind the scenes. These capabilities are exposed as tools inside your AI environment, so you use them conversationally.

Security & Auth Model

  • No API key required to install or use the skill
  • The MCP server runs remotely over HTTPS -- no local binary needed
  • Cloud credentials are only required at deployment time, via a browser-based connect flow
  • You control what gets deployed into your cloud accounts
  • You can review all generated Terraform before deploying

See SECURITY.md for detailed data flow documentation.


Terraform Presets and Modules

InsideOut uses a library of battle-tested, standard Terraform modules composed for common infrastructure patterns.


FAQ

Can I use InsideOut without the InsideOut UI? Yes. InsideOut integrates with Claude Code, Codex, Kiro, Antigravity, and any MCP-compatible AI development environment, allowing you to design, price, and deploy infrastructure directly from your editor without opening the InsideOut interface.

Do I own the generated Terraform? Yes. InsideOut generates standard Terraform files that you own and can export, modify, or use independently of the platform.

Can I override the default configuration? Yes. InsideOut applies best-practice defaults but every setting is overridable. You control the final configuration before deployment.

What clouds does InsideOut support? AWS and Google Cloud Platform. AWS has the deepest support with the widest range of resource types. Azure support is upcoming.

Is InsideOut suitable for AI application backends? Yes. InsideOut explicitly supports AI stack architectures and is designed to work within AI-native development environments like Claude Code, Codex, Kiro, Antigravity, and other MCP-compatible tools.

How does pricing work? Cost estimates for your exact stack are surfaced before deployment. Contact Luther Systems for platform pricing: contact@luthersystems.com


Resources


About Luther Systems

Luther Systems is an enterprise infrastructure and automation company founded in 2015, headquartered in London, UK. Our mission is to accelerate the advent of the automated enterprise.

Founded by a team who spent years automating complex processes for some of the world's largest financial institutions, Luther Systems builds platforms that bring enterprise-grade infrastructure and operations to teams of every size.


Get Help

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