BackendGen

Name: BackendGen
Author: SiTouhemi

by SiTouhemiversion 0.2.2i★ –iRuns on your computer

Registry nameio.github.SiTouhemi/backendgen

Install

Overview

Description from the maker (original English)

Validate compact backend specs and generate tested NestJS, Prisma, and PostgreSQL repositories.

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: Runs on your computer
Transport: stdio
Category: Databases & datasets

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: BACKENDGEN_ALLOWED_ROOTS

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": {
    "backendgen": {
      "command": "npx",
      "args": [
        "-y",
        "@2hemi/backendgen-mcp"
      ],
      "env": {
        "BACKENDGEN_ALLOWED_ROOTS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add backendgen --env BACKENDGEN_ALLOWED_ROOTS=your-value -- npx -y @2hemi/backendgen-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": {
    "backendgen": {
      "command": "npx",
      "args": [
        "-y",
        "@2hemi/backendgen-mcp"
      ],
      "env": {
        "BACKENDGEN_ALLOWED_ROOTS": "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": {
    "backendgen": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@2hemi/backendgen-mcp"
      ],
      "env": {
        "BACKENDGEN_ALLOWED_ROOTS": "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

BACKENDGEN_ALLOWED_ROOTS env
Optional list of filesystem roots BackendGen may read and write, separated by ';' (or ':' between POSIX absolute paths).

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account SiTouhemi, 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 Databases & datasetsi

More stars than 0% of the other 954 servers in this category
Published to the registry more recently than 21% of the other 954 servers in this category
Basic checks equal to or better than 100% of the other 954 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 BackendGen 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 (0.2.2) 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: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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

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Computer or cloud★ 2,993Apache-2.0Updated yesterday

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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.

BackendGen

BackendGen is a deterministic backend compiler for AI coding agents. Give an agent a compact, versioned YAML or JSON specification and it can generate a structured, tested backend instead of inventing database models, permissions, API routes, and migrations from scratch.

It currently generates NestJS 11 + Prisma 6 + PostgreSQL repositories, including a typed TypeScript client and a small frontend-contract.json for the frontend agent to consume. Generated projects have no BackendGen runtime dependency.

Alpha status: BackendGen is ready for design-partner trials and local

projects. Review generated applications before production use; it has not yet

completed independent security review or three design-partner trials.

npm CLI · npm MCP server · Report an issue · Design-partner program

What it is for

BackendGen is useful when an AI agent needs a real backend behind a frontend:

model entities, relations, filters, sorting, and pagination;
add authentication, roles, row ownership, organizations, and tenant isolation;
generate reservations, notifications, webhooks, durable jobs, and uploads;
preserve a clean boundary between compiler-owned code and application-owned custom code;
safely regenerate after a specification changes, with incremental migrations and explicit review gates for destructive changes.

BackendGen is not a hosted backend service, deployment platform, or frontend builder. It runs locally and produces code that a developer or coding agent can review, customize, test, deploy, and connect to a frontend.

Requirements

Node.js 22 or newer
npm 10 or newer
PostgreSQL only when you want to run a generated project's integration tests

Try it in five minutes

You do not need an npm account or this repository to try BackendGen.

mkdir backendgen-try

cd backendgen-try

npx -y @2hemi/backendgen init backend.yaml --name team-api npx -y @2hemi/backendgen validate backend.yaml npx -y @2hemi/backendgen generate backend.yaml --output ./team-api

cd team-api npm install npm test

The generated project runs prisma generate during installation, so this first-run path does not require a separate Prisma command. From the parent directory, use npx -y @2hemi/backendgen test-generated --output ./team-api --install when an agent should perform installation, validation, build, and unit tests through one bounded compiler command.

init creates a valid starter specification. Edit backend.yaml, then run validate and generate again. Before regenerating an existing project, use diff to preview what would change:

npx -y @2hemi/backendgen diff backend.yaml --output ./team-api

Test a complete SaaS example

The repository includes working specifications from basic CRUD to a full-featured backend. This multi-tenant task example is a good first test:

git clone https://github.com/SiTouhemi/Backendgen.git

cd Backendgen

npx -y @2hemi/backendgen validate examples/saas-tasks/backend.yaml npx -y @2hemi/backendgen generate examples/saas-tasks/backend.yaml --output ./generated/saas-tasks

cd generated/saas-tasks npm install npm test

Browse every example and what it demonstrates in examples/README.md:

Example	Demonstrates
notes API	CRUD, filtering, pagination, and sorting
auth notes	Accounts, roles, ownership, and authentication
SaaS tasks	Organizations and enforced tenant isolation
hotel booking	Reservations, overlap prevention, and notifications
all features	CRUD, auth, organizations, reservations, notifications, webhooks, jobs, and uploads

Use it with an AI coding agent (MCP)

The MCP package lets an AI agent discover supported backend features, validate a spec, preview changes, generate a backend, run generated tests, return the frontend handoff contract and customization guidance. It can also explain customization points. It runs locally over stdio—no BackendGen account or network listener is required.

Migration SQL is returned only when the agent explicitly requests it for review; generated source remains omitted from normal responses.

Add this server to an MCP-capable client, giving it only a directory you trust:

"mcpServers": { "backendgen": { "command": "npx", "args": ["-y", "@2hemi/backendgen-mcp"], "env": { "BACKENDGEN_ALLOWED_ROOTS": "/absolute/path/to/projects" } } } }

For Codex, Claude Code, Cursor, ChatGPT desktop, Windows, Lovable Desktop, and the correct v0 handoff, follow the client-specific commands in docs/AI_BUILDERS.md. The complete MCP security and tool reference is in docs/MCP.md.

Once connected, give your agent a request such as:

Create a multi-tenant task-management backend. First inspect BackendGen's

capabilities and relevant features. Write a spec, validate it, preview the

generation, generate it inside this project, and run the generated tests.

Keep custom behavior in the documented customization points.

What is generated

For a valid specification, BackendGen produces a standalone repository with:

a NestJS API, Prisma schema, PostgreSQL migrations, OpenAPI setup, and tests;
generated endpoints and permission rules derived from the normalized spec;
src/generated/ for compiler-owned code and src/custom/ for code you own;
a .backendgen/manifest.json that records ownership and hashes;
frontend-contract.json and a typed TypeScript client for frontend agents.

On regeneration, BackendGen preserves custom files, refuses to overwrite edited generated files unless you explicitly use --force, and requires explicit review for destructive or data-dependent schema changes. Read docs/MIGRATIONS.md before changing a live schema.

Verification and limits

The repository's CI verifies compiler, CLI, MCP, security-contract fuzzing, package-installation, and generated-project scenarios. Generated projects are also built and tested against PostgreSQL in the release test matrix. See the local verification record and security contract for the exact evidence.

That evidence does not prove that every generated application is safe for production. You remain responsible for reviewing the specification, generated code, secrets, infrastructure, and deployment configuration.

Current boundaries:

one production target: NestJS + Prisma + PostgreSQL;
FastAPI and other backend targets are intentionally out of scope;
no hosted BackendGen SaaS or direct browser-v0 MCP integration yet;
do not make token-savings claims until the paired benchmark has real results.

Documentation

If you need to…	Read
Write a specification	Specification reference
Understand each supported feature	Feature packs
Connect an AI agent or MCP client	AI builder integration
Customize a generated project	Customization guide
Safely regenerate or change a schema	Migrations guide
Run tests locally	Local testing
Understand security boundaries	Threat model
Contribute	Contributing

Feedback and support

We are looking for developers and AI builders who will test BackendGen on a real, non-production project. Please open an issue with:

what you were trying to build;
your sanitized backend.yaml specification;
the command or MCP client you used;
what worked, what was confusing, and what you expected instead.

Never include API keys, .env files, private customer code, or production database data. For security vulnerabilities, follow SECURITY.md instead of opening a public issue. Full support details are in SUPPORT.md.

Development

To work on BackendGen itself:

npm ci

npm test npm run test:fuzz:ci npm run test:e2e npm run test:distribution

Maintainers preparing a release can run the same non-publishing gate through npm run verify:release. PostgreSQL-backed execution remains the separate npm run verify:local:postgres workflow described in local testing.

BackendGen is licensed under Apache-2.0. Generated projects belong to their users.

BackendGen

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 Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

BackendGen

What it is for

Requirements

Try it in five minutes

Test a complete SaaS example

Use it with an AI coding agent (MCP)

What is generated

Verification and limits

Documentation

Feedback and support

Development