TensorsLab
Enables AI-powered image and video generation through the TensorsLab API using models like SeeDream and SeeDance. It supports tasks such as creating high-resolution media from text prompts, image-to-video conversion, and monitoring generation status.
What is TensorsLab?
TensorsLab is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables ai-powered image and video generation through the tensorslab api using models like seedream and seedance. it supports tasks such as creating high-resolution media from text prompts, image-to-v...
Enables AI-powered image and video generation through the TensorsLab API using models like SeeDream and SeeDance. It supports tasks such as creating high-resolution media from text prompts, image-to-video conversion, and monitoring generation status.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables AI-powered image and video generation through the Te
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx tensorslab-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about TensorsLab
What is TensorsLab?
TensorsLab is a Model Context Protocol (MCP) server that enables ai-powered image and video generation through the tensorslab api using models like seedream and seedance. it supports tasks such as creating high-resolution media from text prompts, image-to-video conversion, and monitoring generation status. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install TensorsLab?
Follow the installation instructions on the TensorsLab GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with TensorsLab?
TensorsLab works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is TensorsLab free to use?
Yes, TensorsLab is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up TensorsLab in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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