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Worker17

by kortexa-ai

Worker17 is an MCP-enabled 3D Worker Monitoring and Control System. It allows monitoring, controlling, and terminating a virtual worker through a webapp and Claude Desktop integration.

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What is Worker17?

Worker17 is a system for monitoring and controlling a virtual worker (Worker 17) using a 3D web application and integration with Claude Desktop via the Model Context Protocol (MCP). It's built as a fun exploration of SSE MCP servers.

How to use Worker17?

To use Worker17, you can start the server and webapp using npm. Alternatively, you can use WebContainer for browser-based development or Docker for containerized deployment. You can connect to the MCP server using the MCP Inspector or configure Claude Desktop to use the Worker17 MCP server via a proxy like mcp-proxy.

Key features of Worker17

  • 3D visualization of worker status

  • Task assignment to the worker

  • Worker termination capability

  • MCP integration for AI-assisted management

  • WebContainer support for browser-based development

  • Docker support for containerized deployment

Use cases of Worker17

  • Learning about SSE MCP servers

  • Experimenting with worker monitoring and control systems

  • Integrating with AI assistants like Claude Desktop

  • Demonstrating 3D visualization of worker status

  • Testing and debugging MCP implementations

FAQ from Worker17

What is MCP?

MCP stands for Model Context Protocol, a protocol for communication between applications and AI models.

How do I connect to the MCP server?

You can use the MCP Inspector or configure Claude Desktop to connect to the server's SSE endpoint.

Why do I need a proxy for Claude Desktop?

Claude Desktop currently does not directly support SSE MCP servers, so a proxy like mcp-proxy is required.

What are the different deployment options?

You can deploy Worker17 using npm, WebContainer, or Docker.

Is Worker17 a serious project?

Worker17 started as a joke but evolved into a learning experience about MCP servers.