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AI Model Research vs The Aggregate — LLM benchmark aggregate

AI Model Research is no longer listed on any marketplace we read: these are its last known data, as of 2026‑11‑07.

AI Model Research is a plugin bundle for AI coding tools published by danielrosehill. No marketplace we read lists it any more. The Aggregate — LLM benchmark aggregate is an MCP server published by theaggregate.ai. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-07. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceAI Model ResearchThe Aggregate — LLM benchmark aggregate
Community marketplace danielrosehill/claude-code-plugins Removed on 2026-11-07
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 0
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.0.2
No figure published
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

AI Model Research vs The Aggregate — LLM benchmark aggregate
FactAI Model Researchno longer listed · The Aggregate — LLM benchmark aggregate
Marketplaces that list it (differs)01
Stars (GitHub) (differs)0No figure on GitHub
Forks (GitHub) (differs)0No figure on GitHub
Last releaseNot publishedNot published
Where it runs (differs)On your machine (model-scout-mcp)Remote server (theaggregate.ai/mcp)
Transport (differs)Not statedStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)12Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/danielrosehill/claude-ai-model-research-pluginNot stated
Changes in the last 7 days (differs)20
First seen (differs)2026-10-152026-10-11
Endpoint at the last check (differs)no remote endpoint we checkStatus out of date: last check 2 days ago returned HTTP 200

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of AI Model Research

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • llm-advisor io.github.Daichi-Kudo/llm-advisor

    Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.

    by Daichi-Kudo · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • AI-Cost-CLI

    AI API cost calculator, recommender & MCP server. 29 models across text/image/video/audio.

    by ufhouck · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • TokenOracle

    Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.

    by guffeyholdings.com · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • EvalForge Lite

    Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.

    by thejaredchapman · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • Cheapest LLM API

    Compare LLM API prices, search models and providers, and access reviewed benchmark results.

    by tehtelabs · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • Robot Resources Router

    Intelligent LLM routing proxy — 60-90% cost savings by auto-selecting the cheapest model

    by robot-resources · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

AI Model Research

In its own words, on Community GitHub marketplaces:

Research, discover, compare, and evaluate AI models on OpenRouter — backed by the bundled Model-Scout MCP server for live catalog data with caching. Subsumes the standalone open-router-model-research plugin and the Model-Scout-MCP server. 11 skills cover lookup, capability filtering (tools, vision, audio), recommendation, head-to-head comparison, deep evaluation, workload cost projection, and finding cheaper alternatives.

The Aggregate — LLM benchmark aggregate

In its own words, on Official MCP Registry:

LLM rankings from public benchmarks, model comparisons and source-linked results. Updated daily.

How to run each

AI Model Research

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

The Aggregate — LLM benchmark aggregate As a remote MCP server

Claude Code
claude mcp add --transport http the-aggregate https://theaggregate.ai/mcp

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

Only The Aggregate — LLM benchmark aggregate has a remote endpoint we check. How we check endpoints

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: AI Model Research · What it can do: The Aggregate — LLM benchmark aggregate · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. 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