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Worker17

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An MCP server to monitor workers productivity and fire them as needed.

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Overview

Worker17 is an MCP-enabled 3D Worker Monitoring and Control System designed to monitor worker productivity and manage their performance effectively.

To use Worker17, set up the server and web application by following the development setup instructions or run it using Docker. You can also connect to the Worker17 MCP server using the MCP Inspector for real-time monitoring.

  • Real-time monitoring of worker status and position - Task assignment capabilities - Ability to terminate workers based on performance metrics - Integration with Claude Desktop for AI-assisted management
  1. Monitoring the productivity of remote workers in real-time.
  2. Assigning tasks to workers based on their current status.
  3. Managing worker performance and taking necessary actions when performance is unsatisfactory.

Add to your AI client

Use these steps to connect Worker17 in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "worker17-kortexa-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-worker17-kortexa-ai"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "worker17-kortexa-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-worker17-kortexa-ai"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "worker17-kortexa-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-worker17-kortexa-ai"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "worker17-kortexa-ai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-worker17-kortexa-ai"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "worker17-kortexa-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-worker17-kortexa-ai"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "worker17-kortexa-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-worker17-kortexa-ai"
      ]
    }
  }
}

FAQ

Is Worker17 suitable for all types of work environments?

Worker17 is primarily designed for environments where worker monitoring and control are essential, such as remote work settings.

Can I run Worker17 on my local machine?

Yes! You can run Worker17 locally by following the setup instructions provided in the documentation.

What technologies are used in Worker17?

Worker17 utilizes React, Three.js, Node.js, and WebSockets for its web application and server.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":2222,"uuid":"ee1f0645-0ab2-4572-9c31-26c51ca06456","name":"worker17","title":"Worker17","description":"An MCP server to monitor workers productivity and fire them as needed.","avatar_url":"https://avatars.githubusercontent.com/u/121737701?v=4","created_at":"2025-03-09T04:25:26.026Z","updated_at":"2025-03-12T10:20:34.265Z","status":"created","author_name":"kortexa-ai","author_avatar_url":"https://avatars.githubusercontent.com/u/121737701?v=4","tags":"[]","category":"monitoring","is_featured":false,"sort":1,"url":"https://github.com/kortexa-ai/worker17","target":"_self","content":"# Worker17\n\n---\n\n© 2025 kortexa.ai","summary":"$29","img_url":null,"type":null,"metadata":"{\"star\":\"3\",\"license\":\"MIT license\",\"language\":\"TypeScript\",\"is_official\":false,\"latest_commit_time\":\"2025-06-05 18:18:43\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Monitoring