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Kagi Search vs Graphlog Career

Kagi Search is an MCP server published by kagisearch. Marketplaces we read that list it: 1 (Docker MCP Catalog). Graphlog Career is an MCP server published by graphlog.ai. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-13. 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 SearchGraphlog Career
Docker MCP Catalog Listed
Version: sha256:c26439346cd6
Forks (GitHub): 52
Pulls (Docker Hub): 20 506
Stars (Docker Hub): 1
Stars (GitHub): 566
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 2.3.5
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

Kagi Search vs Graphlog Career
FactKagi SearchGraphlog Career
Marketplaces that list it11
Stars (GitHub) (differs)566 (better)0 (worse)
Pulls (Docker Hub) (differs)20 506No figure on Docker Hub
Forks (GitHub) (differs)52 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/kagisearch)Remote server (career.graphlog.ai/mcp)
Transport (differs)stdioStreamable HTTP
Tools it declares (differs)2Not published
Environment variables it asks for (differs)2, secrets among them: 1Not published
Licence (differs)MITNot stated
Repository (differs)github.com/kagisearch/kagimcpgithub.com/foster-systems/graphlog-career
Changes in the last 7 days00
First seen (differs)2026-10-112026-11-06
Endpoint at the last check (differs)no remote endpoint we checkResponded 23 h ago, requires authentication

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.

Graphlog Career

In its own words, on Official MCP Registry:

The career management plugin for your own AI assistant: CVs, cover letters, interviews and more.

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)

Graphlog Career As a remote MCP server

Claude Code
claude mcp add --transport http career https://career.graphlog.ai/mcp

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

Only Graphlog Career has a remote endpoint we check. How we check endpoints

Tools each declares

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

Settings each asks for

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

What it can do: Kagi Search · What it can do: Graphlog Career · 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