Systemonomic — Work Domain Analysis & AI Task Suitability MCP Server

by tonyc23 Your server? Claim it

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. 61 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 29 · avg 11 · -22% w/w

a month agotoday

Installs / week

pypi · systemonomic-mcp

Stars

0 open issues

13 Apr 2026

Last commit

0 releases in 90 days

—

License

Python

Nothing serious here today

Today is the operative word: we check Systemonomic — Work Domain Analysis & AI Task Suitability every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

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.

Claude Code Claude Desktop Codex Cursor VS Code

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"
    }
  }
}

This one needs environment variables set before it will start: SYSTEMONOMIC_API_KEY (Your Systemonomic API key (generate at systemonomic.com/profile)). The author declared them in the registry entry; get the values from the project itself.

Alternatives to Systemonomic — Work Domain Analysis & AI Task Suitability

same job, measured the same way

Decisionmatrix MCP

by inity13

Deterministic multi-criteria decision analysis for AI agents — score, rank & explain options.

37 installs/wk 6 tools answering

Design Constraint Validator

by cseperkepapp

Validate design tokens for accessibility, scales, and design-system constraint consistency.

71 installs/wk local only

SCModeling

by scmodeling

Supply-chain network design via simulation, optimization, and greenfield analysis.

12 tools answering

Tapsite

by mgriffen

MCP server for web inspection, design system extraction, and accessibility audits

41 installs/wk local only

Whoop MCP Server

by rajdeepmondaldotcom

WHOOP recovery, sleep, strain, and workouts for any AI. Analysis tools, demo mode, fast setup.

185 installs/wk local only

Whoop MCP

by rajdeepmondaldotcom

WHOOP recovery, sleep, strain, and workouts for any AI. Analysis tools, demo mode, fast setup.

local only

Langfuse

by pulsemcp

MCP server for Langfuse LLM observability — trace and observation analysis.

61 installs/wk local only

CLIO Terrain

by iowarp

MCP server for terrain analysis: DEM slope/aspect/suitability and point-cloud reading/gridding

local only

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 61 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 61 times in the last week. Week over week that is -22%. 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?

We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.