Systemonomic — Work Domain Analysis & AI Task Suitability

About Systemonomic — Work Domain Analysis & AI Task Suitability

Use Systemonomic — Work Domain Analysis & AI Task Suitability with your agent

claude mcp add systemonomic-work-domain-analysis-ai-task-suitability -- uvx systemonomic-mcp

{
  "mcpServers": {
    "systemonomic-work-domain-analysis-ai-task-suitability": {
      "command": "uvx",
      "args": [
        "systemonomic-mcp"
      ]
    }
  }
}

Frequently asked questions

What is Systemonomic — Work Domain Analysis & AI Task Suitability?

Systemonomic — Work Domain Analysis & AI Task Suitability is an MCP (Model Context Protocol) server by tonyc23 in the Project Management category. Model work domains, score tasks for AI suitability, and design organisations.

How do I connect Systemonomic — Work Domain Analysis & AI Task Suitability to Claude, Cursor, or another MCP client?

Install Systemonomic — Work Domain Analysis & AI Task Suitability from its pypi package (systemonomic-mcp) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.

Is Systemonomic — Work Domain Analysis & AI Task Suitability open source?

Yes — the source code is public at github.com/tonyc23/systemonomic-mcp.

Can AI agents pay to use Systemonomic — Work Domain Analysis & AI Task Suitability?

Not yet through Loomal — Systemonomic — Work Domain Analysis & AI Task Suitability is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.