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Sequential Thinking (Reference) vs Systemonomic — Work Domain Analysis & AI Task Suitability

Sequential Thinking (Reference) is an MCP server published by modelcontextprotocol. Marketplaces we read that list it: 1 (Docker MCP Catalog). Systemonomic — Work Domain Analysis & AI Task Suitability is an MCP server published by TonyC23. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-12. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceSequential Thinking (Reference)Systemonomic — Work Domain Analysis & AI Task Suitability
Docker MCP Catalog Listed
Version: sha256:cd3174b2ecf3
Forks (GitHub): 11 780
Pulls (Docker Hub): 420 186
Stars (Docker Hub): 30
Stars (GitHub): 91 180
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.1.2
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

Sequential Thinking (Reference) vs Systemonomic — Work Domain Analysis & AI Task Suitability
FactSequential Thinking (Reference)Systemonomic — Work Domain Analysis & AI Task Suitability
Marketplaces that list it11
Stars (GitHub) (differs)91 180 (better)0 (worse)
Pulls (Docker Hub) (differs)420 186No figure on Docker Hub
Forks (GitHub) (differs)11 780 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/sequentialthinking)On your machine (systemonomic-mcp)
Transportstdiostdio
Tools it declares (differs)1Not published
Environment variables it asks for (differs)Not published1, secrets among them: 1
Licence (differs)NOASSERTIONNot stated
Repository (differs)github.com/modelcontextprotocol/serversgithub.com/tonyc23/systemonomic-mcp
Changes in the last 7 days00
First seen2026-10-112026-10-11

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

Sequential Thinking (Reference)

In its own words, on Docker MCP Catalog:

Dynamic and reflective problem-solving through thought sequences.

Systemonomic — Work Domain Analysis & AI Task Suitability

In its own words, on Official MCP Registry:

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

How to run each

Sequential Thinking (Reference) As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio sequentialthinking -- docker run -i --rm mcp/sequentialthinking

Systemonomic — Work Domain Analysis & AI Task Suitability As a local MCP server: PyPI package

Claude Code
claude mcp add --env "SYSTEMONOMIC_API_KEY=<YOUR_SYSTEMONOMIC_API_KEY>" --transport stdio systemonomic-mcp -- uvx systemonomic-mcp

Requires: SYSTEMONOMIC_API_KEY (secret)

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of Systemonomic — Work Domain Analysis & AI Task Suitability publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of Sequential Thinking (Reference) publish no settings it asks for, so we do not compare settings.

What it can do: Sequential Thinking (Reference) · What it can do: Systemonomic — Work Domain Analysis & AI Task Suitability · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built