SERVER

Systemonomic — Work Domain Analysis & AI Task Suitability

Rank #52,442

io.github.TonyC23/systemonomic-mcp

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

2 versions

by tonyc23 (1 servers)View repository ↗Claim this server

Listed & last published

Apr 13, 2026

OVERVIEW

Systemonomic — Work Domain Analysis & AI Task Suitability is a Model Context Protocol (MCP) server published by tonyc23. It ranks #52,442 of 137,138 servers tracked on MCP Toplist. Systemonomic — Work Domain Analysis & AI Task Suitability is listed across 3 registries — Official MCP, Glama and PulseMCP, with 2 tracked versions. It was first listed on Apr 13, 2026 and most recently updated on Apr 13, 2026.

STANDING

#52,442of 137,138 tracked serversTop 50%

Ranks ahead of 84,696 of 137,138 servers on MCP Toplist.

CONNECT

Use Systemonomic — Work Domain Analysis & AI Task Suitability

No setupRuns out of the box

No credentials or required configuration declared — add it to your MCP client and go.

Python package (PyPI)

claude mcp add systemonomic-mcp -e "SYSTEMONOMIC_API_KEY=<your SYSTEMONOMIC_API_KEY>" -- uvx systemonomic-mcp

Replace each placeholder with your own value before saving.

Python package (PyPI)

[mcp_servers.systemonomic-mcp]
command = "uvx"
args = ["systemonomic-mcp"]

[mcp_servers.systemonomic-mcp.env]
SYSTEMONOMIC_API_KEY = "<your SYSTEMONOMIC_API_KEY>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "systemonomic-mcp": {
      "command": "uvx",
      "args": [
        "systemonomic-mcp"
      ],
      "env": {
        "SYSTEMONOMIC_API_KEY": "<your SYSTEMONOMIC_API_KEY>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "systemonomic-mcp": {
      "command": "uvx",
      "args": [
        "systemonomic-mcp"
      ],
      "env": {
        "SYSTEMONOMIC_API_KEY": "<your SYSTEMONOMIC_API_KEY>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "servers": {
    "systemonomic-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "systemonomic-mcp"
      ],
      "env": {
        "SYSTEMONOMIC_API_KEY": "<your SYSTEMONOMIC_API_KEY>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "systemonomic-mcp": {
      "command": "uvx",
      "args": [
        "systemonomic-mcp"
      ],
      "env": {
        "SYSTEMONOMIC_API_KEY": "<your SYSTEMONOMIC_API_KEY>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Python package (PyPI)

{
  "mcpServers": {
    "systemonomic-mcp": {
      "command": "uvx",
      "args": [
        "systemonomic-mcp"
      ],
      "env": {
        "SYSTEMONOMIC_API_KEY": "<your SYSTEMONOMIC_API_KEY>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

BADGE

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Markdown

[![MCP Toplist](https://mcptoplist.com/badge/io.github.TonyC23%2Fsystemonomic-mcp.svg)](https://mcptoplist.com/server/io.github.TonyC23%2Fsystemonomic-mcp)

HTML

<a href="https://mcptoplist.com/server/io.github.TonyC23%2Fsystemonomic-mcp"><img src="https://mcptoplist.com/badge/io.github.TonyC23%2Fsystemonomic-mcp.svg" alt="MCP Toplist: Top 50% of 137,138" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

REGISTRIES

Listed on 3 registries

Official MCP

Glama

PulseMCP

ORGANIZATION

tonyc23

Organization

tonyc23

Servers in org

Versions across org

VERSIONS

Available versions (2)

Version	Published
0.1.2	Apr 13, 2026
0.1.1	Apr 13, 2026

FAQ

Frequently asked questions

Who maintains Systemonomic — Work Domain Analysis & AI Task Suitability?: Systemonomic — Work Domain Analysis & AI Task Suitability is maintained by tonyc23, which publishes 1 MCP server (2 total versions) tracked on MCP Toplist.
Is Systemonomic — Work Domain Analysis & AI Task Suitability listed on the Official MCP Registry?: Yes — Systemonomic — Work Domain Analysis & AI Task Suitability is listed on the Official MCP Registry, alongside Glama and PulseMCP.
How many versions does Systemonomic — Work Domain Analysis & AI Task Suitability have?: MCP Toplist tracks 2 versions of Systemonomic — Work Domain Analysis & AI Task Suitability, most recently published on Apr 13, 2026.
Where can I find the source code for Systemonomic — Work Domain Analysis & AI Task Suitability?: The source code for Systemonomic — Work Domain Analysis & AI Task Suitability is hosted at github.com/tonyc23/systemonomic-mcp.

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