InsideOut (Riley)

Name: InsideOut (Riley)
Author: luthersystems

by luthersystemsversion 0.36.3i★ –iComputer or cloud

Registry namecom.luthersystems.insideout/mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet
DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://app.luthersystems.com/v1/insideout-mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Or run it on your computer

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://app.luthersystems.com/v1/insideout-mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain insideout.luthersystems.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Developer toolsi

More stars than 0% of the other 1396 servers in this category
Published to the registry more recently than 16% of the other 1396 servers in this category
Basic checks equal to or better than 100% of the other 1396 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is InsideOut (Riley) safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.36.3) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

Capability	Manual Terraform	InsideOut
Time to deploy	Days to weeks	Minutes
Security defaults	Manual	Automatic
Cost visibility	Post-deploy billing	Pre-deploy estimates
Observability setup	Manual	Day one
AI app builder integration	None	Native (Claude Code, Codex, Kiro, Antigravity)
Terraform ownership	Yes	Yes (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:

Propose an architecture (ECS, RDS, Cognito, ALB, VPC...)
Estimate monthly cost
Generate production-ready Terraform
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?

User	Use case
Solo developers	Ship a production backend without DevOps expertise
Startup engineering teams	Move from idea to deployed infrastructure in minutes
AI app builders	Integrate infrastructure automation directly into AI-native development workflows
Enterprise teams	Standardise infrastructure with best practices and cost controls
DevOps / platform engineers	Faster architecture and IaC workflows

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

Choose Your Path

Path	Best for	Install
This repo (recommended for Codex)	Portable skill across multiple AI tools	`npx 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 experience	Add power from GitHub: `luthersystems/insideout-power`
[Web app](https://insideout.luthersystemsapp.com/)	No install required	Open 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):

Open the Powers panel
Click Add power from GitHub
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+)

Category	AWS	GCP
Compute	EC2, ECS, EKS, Lambda	Compute Engine, Cloud Run, GKE, Cloud Functions
Database	RDS PostgreSQL, DynamoDB, ElastiCache, OpenSearch	Cloud SQL, Firestore, Memorystore
Networking	VPC, ALB, CloudFront, API Gateway	VPC, Load Balancing, Cloud CDN, API Gateway
Storage	S3	Cloud Storage
Security	WAF, KMS, Secrets Manager, Cognito	Cloud Armor, Cloud KMS, Secret Manager, Identity Platform
Messaging	SQS, MSK (Kafka)	Pub/Sub
Observability	CloudWatch, Managed Grafana	Cloud Logging, Cloud Monitoring
AI/ML	Bedrock	Vertex AI
CI/CD	CodePipeline, GitHub Actions	Cloud Build
Backup	AWS Backup	GCP 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:

Agent	Role
Riley	Infrastructure advisor -- leads the design conversation
Hippo	Cost estimation and pricing optimization
Joy	User experience and requirement gathering
Etch	Terraform code generation
Core	Architecture validation and best practices
Axel	Deployment 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.

Terraform Presets -- the pre-built modules InsideOut composes
Standard Modules -- underlying Luther Enterprise infrastructure modules

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

Skills.sh -- skill listing on the Skills registry
InsideOut Platform
Web App -- try InsideOut without any IDE
Demo Video
Documentation
Terraform Presets
Agent Skills Standard
Subreddit
llms.txt -- machine-readable product summary for LLM discovery

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

[Discord](https

Only the beginning is shown; read the rest in the repo

InsideOut (Riley)

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

InsideOut by Luther Systems

Quick Install (30 seconds)

What Problem Does InsideOut Solve?

What You Can Do

Quick Start

Who Is This For?

Choose Your Path

Installation (Detailed)

Recommended: Skills CLI

Claude Code

Codex

Cursor

Windsurf

Kiro

Antigravity

Manual Installation

Supported Services (60+)

Core Capabilities

Infrastructure from Description

Cost Visibility Before Deployment

Secure and Observable by Default

Full Terraform Ownership

Managed Operations

How It Works

Security & Auth Model

Terraform Presets and Modules

FAQ

Resources

About Luther Systems

Get Help