Emfirge

Name: Emfirge
Author: theanshsonkar

by theanshsonkarversion 0.2.1i★ –iRuns on your computer

Registry nameio.github.theanshsonkar/emfirge

Install

Overview

Description from the maker (original English)

Git branch for your cloud. Understand AWS risk, prove fixes, and ship safer changes.

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
UsageiVery new↓ 58/wk · ★ –

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: Runs on your computer
Transport: stdio
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 your computer with your user’s permissions (files, network, apps).
You fill in yourself: EMFIRGE_PRIVACY, EMFIRGE_BASE_URL

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

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

{
  "mcpServers": {
    "emfirge": {
      "command": "npx",
      "args": [
        "-y",
        "@emfirge/mcp"
      ],
      "env": {
        "EMFIRGE_PRIVACY": "your-value",
        "EMFIRGE_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add emfirge --env EMFIRGE_PRIVACY=your-value --env EMFIRGE_BASE_URL=your-value -- npx -y @emfirge/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "emfirge": {
      "command": "npx",
      "args": [
        "-y",
        "@emfirge/mcp"
      ],
      "env": {
        "EMFIRGE_PRIVACY": "your-value",
        "EMFIRGE_BASE_URL": "your-value"
      }
    }
  }
}

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": {
    "emfirge": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@emfirge/mcp"
      ],
      "env": {
        "EMFIRGE_PRIVACY": "your-value",
        "EMFIRGE_BASE_URL": "your-value"
      }
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

EMFIRGE_PRIVACY env
Tokenization mode: strict (default), balanced, or off
EMFIRGE_BASE_URL env
Backend URL — override to point at a self-hosted backend

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account theanshsonkar, which owns the repo
… 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 applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 4924 servers in this category
Published to the registry more recently than 26% of the other 4924 servers in this category
Basic checks equal to or better than 100% of the other 4924 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 Emfirge 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?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.1) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

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

Alternatives

Servers in the same category from other makers, sorted by stars.

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

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.2KUpdated 5 days ago

Computer or cloud

Install

Desktop Commander

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by wonderwhy-erWidely used↓ 709.6K/wk★ 10.2KUpdated 17 days ago

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Install

Cloudflare MCP

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Runs in the cloud✓ mcp.cloudflare.com

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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.

🛡️ Emfirge

Give your agent a branch of your cloud.

AI agents are starting to change real infrastructure.

Emfirge is the harness that lets them try first, on a branch of your live AWS,

judged by lenses that show what the change would actually do.

Get started · Docs · npm

Built by Ansh Sonkar

Your agent wants to "clean up unused databases"

Without Emfirge, it calls DeleteDBInstance and you learn from your on-call channel what that database was for.

With Emfirge, the agent does it on a branch first:

you    ▸ Clean up the unused databases in us-east-1.

agent ▸ I tried it on a branch first. Verdict: BLOCK

✗ recently_used CloudWatch metrics show a deleted resource was used in the last 90 days → orders-db

✗ data_store_deleted_no_recovery_point Deleted data store has no recovery point → orders-db

Branch #2, deleting only legacy-reports-db, passes. Want the exact API call for that one?

Nothing touched production. The agent changed its plan, and the hand-back it gives you is bound by hash to the verdict it passed.

Simplified output. The reason codes and messages are the engine's real ones.

Three layers

🧰 The harness: the product

Where the agent works, what it may see, what it gets back, and what it can't skip.

Read-only, always. Emfirge never writes to your cloud. You or your pipeline apply the approved change.
Private by default. AWS identifiers are tokenized on your machine before the LLM sees them.
No silent passes. A change Emfirge can't model can't pass. A missing check is reported, not hidden.

🌿 The branch: the engine

A Git-style copy of a model of your live AWS: a base snapshot plus an ordered list of changes.

Git-style operations. Fork, roll back, compare and discard, like you would with code.
Many ways in. Feed it typed changes, a Terraform plan, a CloudFormation change set, AWS API calls or AWS CLI commands. The same change gives the same answer whichever way it comes in.
A two-sided diff. See what was added and removed, what became reachable from the internet, and the cost before and after.

🔍 Lenses: what gets measured

Each lens judges the branch from one angle, and together they produce a single pass / warn / block.

	Lens	Asks
✅	Security	Does this expose something, or open a privilege-escalation path?
✅	Dependencies	What breaks if this is removed? Is it still in use? Can it be recovered?
✅	Compliance	Which CIS 1.5 and SOC 2 controls flip? (control lists from Prowler's published data; uncovered controls are never `pass`)
🟡	Cost	What does it cost before and after? (AWS's published Price List, us-east-1 only; no LCUs)
🟡	Limits	Will it hit an AWS quota? (early: AWS default quotas)
🔜	Yours	Bring your own evaluator, run against the same branch contract.

Try it

npx @emfirge/mcp install

Then tell your assistant:

Help me set up Emfirge, then scan arn:aws:iam::123456789012:role/EmfirgeReadOnly in us-east-1

The account ID is a placeholder. Setup gives you a one-click CloudFormation link for a read-only role, and you can delete the stack any time to revoke access.

The installer sets up Claude Desktop, Claude Code, Cursor, Kiro, Cline, Continue and Codex, and you can configure any other MCP client by hand. You can also use the API or the branch CLI. See all the tools in the MCP README.

Built to be trusted

Every behaviour of the engine is pinned by a numbered law, a property test that must always hold. There are 48 so far, for example:

L1: an empty branch scores exactly like the live scan.

L7: the same snapshot and changes always give the same verdict.

L9: your identifiers never appear in free-text output.

L12: evidence can make a verdict stricter, never looser.

L21: a Terraform security-group rule and the equivalent AWS API call get the same verdict.

The checks come from public sources rather than hand-written lists: pathfinding.cloud escalation paths, policy_sentry IAM data, AWS schemas, Prowler's compliance data, and the AWS Price List. Checkov runs on each branch verdict as an advisory scanner (it warns, it does not block on its own); Trivy is off. Every CI run publishes a scorecard.

What Emfirge does not claim: a branch is a model of your cloud, so a pass is evidence, not a guarantee. If any part of the check was skipped, the verdict says so. Today Emfirge is a safe workspace, not a gate that blocks a live apply.

What changes can a branch model today?

Resource type	Add	Modify	Delete
EC2 instance, security group, RDS instance, S3 bucket, Lambda function, network ACL	✅	✅	✅
IAM role (including trust policy)	✅	✅	✅
IAM user, NAT gateway	✅
RDS snapshot	✅		✅
EBS volume	✅		✅
EBS snapshot			✅
Route table	✅	✅
IAM role policy		✅

The live GET /branches/capabilities endpoint is the authoritative list, and GET /branches/field-catalog lists every settable field with the AWS API member it stands for. Most resource types also carry tags; a tag change replaces the complete user tag set. Anything not modeled degrades the verdict rather than passing.

Repository layout and licenses

Path	What it is	License
`backend/`	The engine: collector, graph, branches, input adapters, lenses, verdict, hand-back	AGPL-3.0
`mcp/`	`@emfirge/mcp`, the MCP server and CLI	Apache-2.0
`site/`	Docs at emfirge.cloud/docs	AGPL-3.0
`iam-role.yaml`	The read-only customer role	AGPL-3.0

Built by

Emfirge is designed and built by Ansh Sonkar (@theanshsonkar): the engine, the branch model, the lenses and the MCP.

Building with AI agents on AWS, or want to talk about Emfirge? Email [ansh@emfirge.cloud](mailto:ansh@emfirge.cloud).

Contributing · Security · Privacy

Emfirge

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

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

🛡️ Emfirge

Give your agent a branch of your cloud.

Your agent wants to "clean up unused databases"

Three layers

🧰 The harness: the product

🌿 The branch: the engine

🔍 Lenses: what gets measured

Try it

Built to be trusted

Built by