LinkedIn vs Task Observer — One Skill to Rule Them All
LinkedIn is an MCP server published by stickerdaniel. Marketplaces we read that list it: 3 (Docker MCP Catalog, PyPI (MCP servers), Community GitHub marketplaces). Task Observer — One Skill to Rule Them All is a plugin bundle for AI coding tools published by Eoghan Henn. Marketplaces we read that list it: 1 (Community GitHub marketplaces). As of our marketplace pass on 2026-11-09. 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
| Marketplace |  LinkedIn | |
|---|---|---|
| Docker MCP Catalog | Listed Version: sha256:c437eb638f80 Forks (GitHub): 736 Stars (GitHub): 4 155 Not marked · First seen |
Not listed |
| PyPI (MCP servers) | Listed Version: 4.29.0 Downloads/month (PyPI): 68 344 Downloads/week (PyPI): 8 301 Forks (GitHub): 736 Stars (GitHub): 4 155 Not marked · First seen |
Not listed |
| Community marketplace rebelytics/one-skill-to-rule-them-all | Not listed | Listed Version: 3.10.0 Forks (GitHub): 383 Stars (GitHub): 3 818 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
| Fact | Task Observer — One Skill to Rule Them All | |
|---|---|---|
| Marketplaces that list it (differs) | 3 (better) | 1 (worse) |
| Stars (GitHub) (differs) | 4 155 (better) | 3 818 (worse) |
| Forks (GitHub) (differs) | 736 (better) | 383 (worse) |
| Last release (differs) | 2026-11-01 (worse) | 2026-11-06 (better) |
| Where it runs (differs) | On your machine (stickerdaniel/linkedin-mcp-server:1.4.0) | Installs as a plugin bundle |
| Transport (differs) | stdio | Not stated |
| Tools it declares (differs) | 6 | Not published |
| Environment variables it asks for (differs) | 2, secrets among them: 1 | Not published |
| Parts of the bundle (differs) | 2 | Not published |
| Licence (differs) | Apache-2.0 | CC-BY-4.0 |
| Repository (differs) | github.com/stickerdaniel/linkedin-mcp-server | github.com/rebelytics/one-skill-to-rule-them-all |
| Changes in the last 7 days (differs) | 0 | 2 |
| First seen (differs) | 2026-10-11 | 2026-11-03 |
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
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.
Task Observer — One Skill to Rule Them All
Turns the corrections and repeated workflows of your work sessions into small, reviewed skill updates: every change comes with its evidence and a written reason, and nothing touches a skill until you approve and install it.
How to run each
LinkedIn As a local MCP server: Docker image
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:1.4.0Requires: LINKEDIN_COOKIE (secret)
Task Observer — One Skill to Rule Them All As a Claude Code plugin
/plugin marketplace add rebelytics/one-skill-to-rule-them-all
/plugin install task-observer@one-skill-to-rule-them-allCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of Task Observer — One Skill to Rule Them All publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of Task Observer — One Skill to Rule Them All publish no settings it asks for, so we do not compare settings.
What it can do: LinkedIn · What it can do: Task Observer — One Skill to Rule Them All · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Package data comes from the Python Package Index (pypi.org). 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.