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Sequential Thinking (Reference) vs io.github.rishiatlan/claude-prompt-optimizer

Sequential Thinking (Reference) is an MCP server published by modelcontextprotocol. Marketplaces we read that list it: 1 (Docker MCP Catalog). io.github.rishiatlan/claude-prompt-optimizer is an MCP server published by rishiatlan. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-14. 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)io.github.rishiatlan/claude-prompt-optimizer
Docker MCP Catalog Listed
Version: sha256:cd3174b2ecf3
Forks (GitHub): 11 787
Pulls (Docker Hub): 421 359
Stars (Docker Hub): 30
Stars (GitHub): 91 222
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 2.2.2
Downloads/month (npm): 271
Downloads/week (npm): 47
Forks (GitHub): 0
Stars (GitHub): 2
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 io.github.rishiatlan/claude-prompt-optimizer
FactSequential Thinking (Reference)io.github.rishiatlan/claude-prompt-optimizer
Marketplaces that list it11
Stars (GitHub) (differs)91 222 (better)2 (worse)
Pulls (Docker Hub) (differs)421 359No figure on Docker Hub
Forks (GitHub) (differs)11 787 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/sequentialthinking)On your machine (claude-prompt-optimizer-mcp)
Transportstdiostdio
Tools it declares (differs)1Not published
Environment variables it asks for (differs)Not published2, secrets among them: 0
Licence (differs)NOASSERTIONNot stated
Repository (differs)github.com/modelcontextprotocol/serversgithub.com/rishiatlan/claude-prompt-optimizer-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.

io.github.rishiatlan/claude-prompt-optimizer

In its own words, on Official MCP Registry:

Scores, compiles & optimizes prompts for any LLM. Zero AI calls inside. Freemium.

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

io.github.rishiatlan/claude-prompt-optimizer As a local MCP server: npm package

Claude Code
claude mcp add --transport stdio claude-prompt-optimizer -- npx -y claude-prompt-optimizer-mcp

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

Tools each declares

The marketplaces of io.github.rishiatlan/claude-prompt-optimizer 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: io.github.rishiatlan/claude-prompt-optimizer · 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