mcpbeat

Systemonomic — Work Domain Analysis & AI Task Suitability MCP Server

io.github.TonyC23/systemonomic-mcp
local only

Systemonomic — Work Domain Analysis & AI Task Suitability runs on your own machine — the client starts it, so there is no endpoint to ping. 70 installs a week from pypi. Last commit 13 Apr 2026.

Model work domains, score tasks for AI suitability, and design organisations.

Installs per day peak 30 · avg 13 · -33% w/w
a month agotoday
70
Installs / week
pypi · systemonomic-mcp
0
Stars
0 open issues
13 Apr 2026
Last commit
0 releases in 90 days
NOASSERTION
License
Python

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add systemonomic-mcp -- uvx systemonomic-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "systemonomic-mcp": {
      "args": [
        "systemonomic-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.systemonomic-mcp]
command = "uvx"
args = ["systemonomic-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "systemonomic-mcp": {
      "args": [
        "systemonomic-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "systemonomic-mcp": {
      "args": [
        "systemonomic-mcp"
      ],
      "command": "uvx"
    }
  }
}

Systemonomic — Work Domain Analysis & AI Task Suitability — questions

Answers built from our own checks of this server.

Why is there no uptime for Systemonomic — Work Domain Analysis & AI Task Suitability?
Systemonomic — Work Domain Analysis & AI Task Suitability runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package systemonomic-mcp was installed 70 times last week.
How do I connect Systemonomic — Work Domain Analysis & AI Task Suitability?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls systemonomic-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Systemonomic — Work Domain Analysis & AI Task Suitability?
The pypi package systemonomic-mcp was installed 70 times in the last week. Week over week that is -33%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Systemonomic — Work Domain Analysis & AI Task Suitability open source?
Yes — it is published under the NOASSERTION licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.