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Comparison

LinkedIn vs career-ops

LinkedIn is an MCP server published by stickerdaniel. Marketplaces we read that list it: 1 (Docker MCP Catalog). career-ops is a plugin bundle for AI coding tools published by santifer. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-10-17. 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
MarketplaceLinkedIncareer-ops
Docker MCP Catalog Listed
Version: sha256:c437eb638f80
Forks (GitHub): 688
Stars (GitHub): 3 892
Not marked · First seen
Not listed
Community marketplace career-ops-hq/career-ops Not listed Listed
Version: 1.37.0
Forks (GitHub): 14 030
Stars (GitHub): 75 168
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

LinkedIn vs career-ops
FactLinkedIncareer-ops
Marketplaces that list it11
Stars (GitHub) (differs)3 892 (worse)75 168 (better)
Forks (GitHub) (differs)688 (worse)14 030 (better)
Last release (differs)Not published2026-10-16
Where it runs (differs)On your machine (stickerdaniel/linkedin-mcp-server:1.4.0)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)6Not published
Environment variables it asks for (differs)2, secrets among them: 1Not published
Parts of the bundle (differs)Not a bundle1
Licence (differs)Apache-2.0Not stated
Repository (differs)github.com/stickerdaniel/linkedin-mcp-servergithub.com/career-ops-hq/career-ops
Changes in the last 7 days (differs)03
First seen (differs)2026-10-112026-10-15

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

LinkedIn

In its own words, on Docker MCP Catalog:

This MCP server allows Claude and other AI assistants to access your LinkedIn. Scrape LinkedIn profiles and companies, get your recommended jobs, and perform job searches. Set your li_at LinkedIn cookie to use this server.

career-ops

In its own words, on Community GitHub marketplaces:

Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications

How to run each

LinkedIn As a local MCP server: Docker image

Claude Code
claude mcp add --env "LINKEDIN_COOKIE=<YOUR_LINKEDIN_COOKIE>" --transport stdio linkedin-mcp-server -- docker run -i --rm -e LINKEDIN_COOKIE stickerdaniel/linkedin-mcp-server:1.4.0

Requires: LINKEDIN_COOKIE (secret)

career-ops As a Claude Code plugin

Claude Code
/plugin marketplace add career-ops-hq/career-ops
/plugin install career-ops@career-ops

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

Tools each declares

The marketplaces of career-ops publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of career-ops publish no settings it asks for, so we do not compare settings.

What it can do: LinkedIn · What it can do: career-ops · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. 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