Genrelay MCP

Name: Genrelay MCP
Author: gaoruitech

by gaoruitechversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.gaoruitech/genrelay-mcp

Install

Overview

Description from the maker (original English)

Generate video and images (Veo 3.1, Grok Imagine, Nano Banana, GPT Image 2) via the GenRelay API.

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: Design, images & audio
You need to fill in: GENRELAY_API_KEY

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: GENRELAY_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "genrelay": {
      "command": "npx",
      "args": [
        "-y",
        "genrelay-mcp"
      ],
      "env": {
        "GENRELAY_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add genrelay --env GENRELAY_API_KEY=your-value -- npx -y genrelay-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": {
    "genrelay": {
      "command": "npx",
      "args": [
        "-y",
        "genrelay-mcp"
      ],
      "env": {
        "GENRELAY_API_KEY": "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": {
    "genrelay": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "genrelay-mcp"
      ],
      "env": {
        "GENRELAY_API_KEY": "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

GENRELAY_API_KEY secret required env
Your GenRelay API key (https://genrelay.ai)

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 gaoruitech, 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 Design, images & audioi

More stars than 0% of the other 2204 servers in this category
Published to the registry more recently than 54% of the other 2204 servers in this category
Basic checks equal to or better than 100% of the other 2204 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 Genrelay MCP 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?

You need to fill in: GENRELAY_API_KEY

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 (0.1.2) reached the registry 25 days 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: Figma Context MCP, Claude Real Video, Figma 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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Figma MCP Server

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Install

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.

genrelay-mcp

MCP server for GenRelay — generate video and images from Claude Desktop, Cursor, or any MCP client.

One server, several models: Veo 3.1, Grok Imagine, Omni Flash, Nano Banana Pro/2, GPT Image 2.

Install

Nothing to install — point your MCP client at it with npx.

Claude Desktop — claude_desktop_config.json:

"mcpServers": { "genrelay": { "command": "npx", "args": ["-y", "genrelay-mcp"], "env": { "GENRELAY_API_KEY": "sk-..." } } } }

Cursor — .cursor/mcp.json:

"mcpServers": { "genrelay": { "command": "npx", "args": ["-y", "genrelay-mcp"], "env": { "GENRELAY_API_KEY": "sk-..." } } } }

Get a key at genrelay.ai. Restart the client after editing the config.

Tools

Tool	What it does
`generate_video`	Text-to-video and image-to-video. Returns the clip, or a task id if it's still running
`generate_image`	Image generation and editing. Returns the picture inline
`check_job`	Pick up a job by task id
`list_models`	What's available and what each model is for

Then just ask:

Generate an 8-second video of a neon fox running through a rainy city at night, 1080p

About the wait

Video generation takes 1–5 minutes — longer than an MCP tool call is allowed to run. So generate_video waits as long as it safely can, then hands back a task id:

Still generating — this is normal for video.

task id: task_abc123 status: in_progress progress: 35%

Call check_job with task id "task_abc123" in a minute or two.

That's a normal outcome, not a failure. The job keeps running server-side — use `check_job`, don't resubmit (resubmitting bills a second time).

Images usually finish inside the budget and come back inline.

Models

Video

Model	Notes
`veo_3_1`	Google Veo 3.1 — highest quality, with audio
`veo_3_1-fl`	first/last frame — supply both endpoints
`veo_3_1-components`	component-guided
`grok-imagine-video-1-5-preview`	xAI Grok Imagine 1.5
`grok-imagine-1-0-video`	xAI Grok Imagine 1.0
`omni-flash`	fast, good for longer clips
`omni_flash_abra_edit`	video editing from a source video

Image — nano-banana-pro, nano-banana-2, gpt-image-2

Tiers: images 1k/2k/4k, Veo video 720p/1080p/4k. Pricing is per tier, and a size matching no tier falls back to the model's base rate — so set tier explicitly when cost matters.

Configuration

Variable
`GENRELAY_API_KEY`	required
`GENRELAY_BASE_URL`	optional, defaults to `https://genrelay.ai/v1`

Also available

Python SDK — pip install genrelay
JavaScript/TypeScript SDK — npm install genrelay
Chat & image edits are OpenAI-compatible: point the official openai package at https://genrelay.ai/v1

Development

npm install

npm run build node test/smoke.mjs # boots the server and speaks MCP to it

FAQ

What is genrelay-mcp? An MCP server that lets Claude Desktop, Cursor and other MCP clients generate video and images through the GenRelay API.

Which clients work? Any MCP client that can launch a stdio server with npx -y genrelay-mcp, including Claude Desktop and Cursor.

How do I get an API key? Sign up at genrelay.ai and create a key in the console. Set it as GENRELAY_API_KEY.

How is it billed? Prepaid credits in USD, pay as you go. See Pricing.

A video is still running. Do I resubmit? No. Use check_job with the task id. Resubmitting is billed again.

Where is it listed? npm and the official MCP Registry as io.github.gaoruitech/genrelay-mcp.

License

MIT

Genrelay MCP

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 Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

genrelay-mcp

Install

Tools

About the wait

Models

Configuration

Also available

Development

FAQ

License