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Comparison

Kagi Search vs Contentrain

Kagi Search is an MCP server published by kagisearch. Marketplaces we read that list it: 1 (Docker MCP Catalog). Contentrain is an MCP server published by Contentrain. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-13. 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
MarketplaceKagi SearchContentrain
Docker MCP Catalog Listed
Version: sha256:c26439346cd6
Forks (GitHub): 48
Pulls (Docker Hub): 19 843
Stars (Docker Hub): 1
Stars (GitHub): 541
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 3.11.1
Downloads/month (npm): 14 403
Downloads/week (npm): 3 344
Forks (GitHub): 0
Stars (GitHub): 6
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

Kagi Search vs Contentrain
FactKagi SearchContentrain
Marketplaces that list it (differs)1 (worse)2 (better)
Stars (GitHub) (differs)541 (better)6 (worse)
Pulls (Docker Hub) (differs)19 843No figure on Docker Hub
Forks (GitHub) (differs)48 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/kagisearch)Remote server or your machine
Transport (differs)stdioStreamable HTTP
Tools it declares (differs)2Not published
Environment variables it asks for (differs)2, secrets among them: 1Not published
Parts of the bundle (differs)Not a bundle8
LicenceMITMIT
Repository (differs)github.com/kagisearch/kagimcpgithub.com/contentrain/ai
Changes in the last 7 days (differs)02
First seen2026-10-112026-10-11
Endpoint at the last check (differs)no remote endpoint we checknot checked yet

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

Kagi Search

In its own words, on Docker MCP Catalog:

The Official Model Context Protocol (MCP) server for Kagi Search & other tools.

Contentrain

In its own words, on Official MCP Registry:

Git-native content governance for AI agents — 27 deterministic MCP tools over stdio and HTTP.

How to run each

Kagi Search As a local MCP server: Docker image

Claude Code
claude mcp add --env "KAGI_API_KEY=<YOUR_KAGI_API_KEY>" --transport stdio kagisearch -- docker run -i --rm -e KAGI_API_KEY mcp/kagisearch

Requires: KAGI_API_KEY (secret)

Contentrain As a Claude Code plugin

Claude Code
/plugin marketplace add contentrain/ai
/plugin install contentrain@contentrain

Requires: Authorization header

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

Tools each declares

The marketplaces of Contentrain publish no list of tools, so we do not compare tools.

Settings each asks for

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

What it can do: Kagi Search · What it can do: Contentrain · 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. 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