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Genrelay MCP Server

Developer ToolsLow Risk9.0MCP RegistryLocal
Free

Server data from the Official MCP Registry

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

About

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

Security Report

9.0
Low Risk9.0Low Risk

Valid MCP server (2 strong, 3 medium validity signals). 1 known CVE in dependencies (0 critical, 1 high severity) Package registry verified. Imported from the Official MCP Registry.

5 files analyzed · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

file_system

Check that this permission is expected for this type of plugin.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

Your GenRelay API key (https://genrelay.ai)Required

Environment variable: GENRELAY_API_KEY

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-gaoruitech-genrelay-mcp": {
      "env": {
        "GENRELAY_API_KEY": "your-genrelay-api-key-here"
      },
      "args": [
        "-y",
        "genrelay-mcp"
      ],
      "command": "npx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

genrelay-mcp

npm license

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.

Sample outputs

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

ToolWhat it does
generate_videoText-to-video and image-to-video. Returns the clip, or a task id if it's still running
generate_imageImage generation and editing. Returns the picture inline
check_jobPick up a job by task id
list_modelsWhat'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

ModelNotes
veo_3_1Google Veo 3.1 — highest quality, with audio
veo_3_1-flfirst/last frame — supply both endpoints
veo_3_1-componentscomponent-guided
grok-imagine-video-1-5-previewxAI Grok Imagine 1.5
grok-imagine-1-0-videoxAI Grok Imagine 1.0
omni-flashfast, good for longer clips
omni_flash_abra_editvideo 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_KEYrequired
GENRELAY_BASE_URLoptional, defaults to https://genrelay.ai/v1

Also available

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

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