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@genvr/mcp-server
Advanced tools
Model Context Protocol server for GenVR APIs - Integrate 300+ AI models into Cursor IDE
Model Context Protocol (MCP) server for GenVR APIs, enabling seamless integration with Cursor IDE and other MCP-compatible tools.
No installation needed! Just configure in your .cursor/mcp.json:
{
"mcpServers": {
"GenVR": {
"command": "npx",
"args": [
"-y",
"@genvr/mcp-server"
],
"env": {
"GENVR_USER_ID": "your_user_id_here",
"GENVR_ACCESS_TOKEN": "your_access_token_here"
}
}
}
}
npm install -g @genvr/mcp-server
Then configure in .cursor/mcp.json:
{
"mcpServers": {
"GenVR": {
"command": "genvr-mcp",
"env": {
"GENVR_USER_ID": "your_user_id_here",
"GENVR_ACCESS_TOKEN": "your_access_token_here"
}
}
}
}
Get your GenVR API credentials from https://app.genvrresearch.com/teams
Create .cursor/mcp.json in your project root with the configuration above
Enable MCP in Cursor:
Restart Cursor
Generate images using GenVR's image generation models.
Parameters:
prompt (required): Text description of the image to generatemodel (optional): Model name (default: "flux_dev")
width (optional): Image width in pixels (default: 1024)height (optional): Image height in pixels (default: 1024)num_inference_steps (optional): Number of inference steps (default: 50)Example:
Generate a photorealistic image of a sunset over mountains
Generate videos using GenVR's video generation models.
Parameters:
prompt (required): Text description of the video to generatemodel (optional): Model name (default: "kling2_5_t2v")
duration (optional): Video duration in seconds (default: 5)Example:
Create a 10-second video of a cat playing with a ball
Generate audio/music using GenVR's audio generation models.
Parameters:
prompt (required): Text description of the audio to generatemodel (optional): Model name (default: "dia")
duration (optional): Audio duration in seconds (default: 10)Example:
Generate upbeat electronic music for a video game
Call any GenVR model with custom parameters for advanced use cases.
Parameters:
category (required): Model category (imagegen, videogen, audiogen, 3dgen, etc.)subcategory (required): Specific model nameparameters (required): Model-specific parameters as JSON objectExample:
{
"category": "imagegen",
"subcategory": "flux_dev",
"parameters": {
"prompt": "A beautiful landscape",
"width": 1920,
"height": 1080
}
}
Once configured, you can use natural language in Cursor's AI chat:
@GenVR Generate a photorealistic image of a futuristic city at night
@GenVR Create a 5-second video of ocean waves
@GenVR Generate background music for a meditation app
The MCP server will automatically:
To build from source:
npm install
npm run build
npm start
GENVR_USER_ID: Your GenVR user ID (required)GENVR_ACCESS_TOKEN: Your GenVR access token (required)GENVR_API_BASE: API base URL (optional, defaults to https://api.genvrresearch.com/api/v1).cursor/mcp.json is in the correct location.cursor/mcp.jsonMIT
FAQs
Model Context Protocol server for GenVR APIs - Integrate 300+ AI models into Cursor IDE
The npm package @genvr/mcp-server receives a total of 3 weekly downloads. As such, @genvr/mcp-server popularity was classified as not popular.
We found that @genvr/mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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