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Deploy files, sites, and Dockerfile apps to live URLs and private storage.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ai.dataecho/mcp" MCP server from askskill: Run: claude mcp add --transport http 'ai-dataecho-mcp' 'https://dataecho.ai/mcp'
Deploy this frontend project as a publicly accessible website and return the live URL.
A live website URL is returned and the site is deployed.
Deploy this app using the Dockerfile in the repository and give me the accessible URL after it starts.
The app is built and deployed, and a reachable live URL is returned.
Save these output files to private storage so they can be used as agent memory in later tasks.
The files are stored in private storage for later workflows to read and use.
When a developer or product manager needs a shareable link for a web prototype, this tool can deploy the site and provide a live URL for demos and feedback.
Developers or DevOps engineers can use it to deploy an app from a Dockerfile and quickly verify that the build runs online.
When an AI agent needs files across tasks, this tool can save them to private storage as reusable memory for later access.
It can deploy files, websites, and Dockerfile-based apps to accessible live URLs, and it can also save data to private storage for agent memory.
Based on the description, it supports files, sites, and apps defined with a Dockerfile. For more detailed support, see the source repository.
The provided material does not include installation steps, runtime requirements, or key requirements. See the source repository for details.
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Transfer files live, end-to-end encrypted, between your AI agent and devices.