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Comparison

Kagi Search vs Ai Briefing

Kagi Search is an MCP server published by kagisearch. Marketplaces we read that list it: 1 (Docker MCP Catalog). Ai Briefing is an MCP server published by pipeworx-io. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-29. 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 SearchAi Briefing
Docker MCP Catalog Listed
Version: sha256:c26439346cd6
Forks (GitHub): 50
Pulls (Docker Hub): 20 248
Stars (Docker Hub): 1
Stars (GitHub): 553
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.2.0
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 Ai Briefing
FactKagi SearchAi Briefing
Marketplaces that list it11
Stars (GitHub) (differs)553 (better)0 (worse)
Pulls (Docker Hub) (differs)20 248No figure on Docker Hub
Forks (GitHub) (differs)50 (better)0 (worse)
Last release (differs)Not published2026-10-29
Where it runs (differs)On your machine (mcp/kagisearch)Remote server (gateway.pipeworx.io/ai-briefing/mcp)
Transport (differs)stdioStreamable HTTP
Tools it declares (differs)2Not published
Environment variables it asks for (differs)2, secrets among them: 11, secrets among them: 1
Licence (differs)MITNot stated
Repository (differs)github.com/kagisearch/kagimcpgithub.com/pipeworx-io/mcp-ai-briefing
Changes in the last 7 days (differs)05
First seen2026-10-112026-10-11
Endpoint at the last check (differs)no remote endpoint we checkResponded 35 h ago

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.

Ai Briefing

In its own words, on Official MCP Registry:

AI Briefing MCP — Keep AI models current on industry developments

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)

Ai Briefing As a remote MCP server

Claude Code
claude mcp add --transport http ai-briefing https://gateway.pipeworx.io/ai-briefing/mcp

Requires: PIPEWORX_API_KEY (secret)

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

Only Ai Briefing has a remote endpoint we check. How we check endpoints

Tools each declares

Only Kagi Search has

  • kagi_search_fetch
  • kagi_summarizer

Only Ai Briefing has

  • ai_visibility_check
  • archive_compare
  • archive_evidence
  • ask_pipeworx
  • ask_pipeworx_beta
  • ask_pipeworx_grounded
  • bet_research
  • classify_row
  • company_facts
  • company_register_search
  • compare_entities
  • deep_research
Show the remaining 38
  • discover_tools
  • entity_profile
  • forget
  • generate_llms_txt
  • get_ai_news
  • get_ai_toolbelt
  • get_briefing
  • get_model_landscape
  • get_recent
  • get_timeline
  • kalshi_weather_edge
  • list_subscriptions
  • pipeworx_feedback
  • pipeworx_trending
  • polymarket_arbitrage
  • polymarket_edge_tracker
  • polymarket_edges
  • polymarket_fill_risk
  • polymarket_kalshi_spread
  • prediction_calibration
  • recall
  • recent_alerts
  • recent_changes
  • release_calendar_markets
  • remember
  • research_row
  • resolution_audit
  • resolution_diff
  • resolve_entity
  • scan_competitor_ai_presence
  • scan_dependency
  • search_developments
  • search_within
  • subscribe
  • suggest_questions
  • unsubscribe
  • validate_claim
  • what_happened

Both have

None

Tool names as the marketplaces declare them and as Ext Ops observed them on the endpoints (Ai Briefing as of 2026-10-24). More tools is not better in itself: compare what each needs for the job.

Settings each asks for

Only Kagi Search asks for

  • KAGI_API_KEY (secret)
  • KAGI_SUMMARIZER_ENGINE

Only Ai Briefing asks for

  • PIPEWORX_API_KEY (secret)

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: Kagi Search · What it can do: Ai Briefing · 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