by flowith-ai · MCP Server · ★ 38
Cowork on a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes
| Stars | 38 |
| Forks | 3 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 37.75/100 |
| Last Updated | 2026-05-11 |
| Created | 2026-03-31 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~3k |
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canvas-cowork is Cowork on a spatial canvas from the CLI — create canvases, generate images/text/video/agent responses, read results, recall past work, and manage nodes. It is categorized as a MCP Server with 38 GitHub stars.
canvas-cowork is primarily written in TypeScript. It covers topics such as agent-skills, ai-agent, canvas.
You can find installation instructions and usage details in the canvas-cowork GitHub repository at github.com/flowith-ai/canvas-cowork. The project has 38 stars and 3 forks, indicating an active community.
canvas-cowork is released under the MIT license, making it free to use and modify according to the license terms.