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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
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.
What You'll Need
Set these up before or after installing:
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 GitHubFrom the project's GitHub README.
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
openaipackage athttps://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
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