RunComfy AI Generation

v1.0.0Data Science & MLstable

Enables generation of AI videos and images using RunComfy APIs. Supports multiple models for text-to-video, image-to-video, text-to-image, and image-to-image workflows with customizable parameters like aspect ratio, duration, and seed.

runcomfy-mcp-servermcpai-integration
Share:
0
Stars
0
Downloads
0
Weekly
0/5

What is RunComfy AI Generation?

RunComfy AI Generation is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables generation of ai videos and images using runcomfy apis. supports multiple models for text-to-video, image-to-video, text-to-image, and image-to-image workflows with customizable parameters lik...

Enables generation of AI videos and images using RunComfy APIs. Supports multiple models for text-to-video, image-to-video, text-to-image, and image-to-image workflows with customizable parameters like aspect ratio, duration, and seed.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Enables generation of AI videos and images using RunComfy AP

Use Cases

Generate AI videos and images from text
Image-to-video and text-to-image workflows
avalla

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx runcomfy-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about RunComfy AI Generation

What is RunComfy AI Generation?

RunComfy AI Generation is a Model Context Protocol (MCP) server that enables generation of ai videos and images using runcomfy apis. supports multiple models for text-to-video, image-to-video, text-to-image, and image-to-image workflows with customizable parameters like aspect ratio, duration, and seed. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install RunComfy AI Generation?

Follow the installation instructions on the RunComfy AI Generation GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with RunComfy AI Generation?

RunComfy AI Generation works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is RunComfy AI Generation free to use?

Yes, RunComfy AI Generation is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "runcomfy-mcp-server": { "command": "npx", "args": ["-y", "runcomfy-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use RunComfy AI Generation?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

33,000+ ServersFree & Open SourceStep-by-Step Guides