The Aggregate — LLM benchmark aggregate

ai.theaggregate/the-aggregateVersion 1.0.2

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

Status

Responds324 msNov 14, 2026, 13:34 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 13:34 UTC
Latency: 324 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://theaggregate.ai/mcpResponds324 msNov 14, 2026, 13:34 UTC

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Claude Code

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

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: the-aggregate
Remote MCP server URL: https://theaggregate.ai/mcp

Cursor

{
  "mcpServers": {
    "the-aggregate": {
      "url": "https://theaggregate.ai/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"the-aggregate","type":"http","url":"https://theaggregate.ai/mcp"}'

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Tools

8 tools

Tools of The Aggregate — LLM benchmark aggregate
	Description		Read-only	Idempotent	Open world
`about_the_aggregate`What this data is: the published rating method, current coverage counts, update cadence, and how to cite it.	What this data is: the published rating method, current coverage counts, update cadence, and how to cite it.	No	Yes	Yes	No
`compare_models`Head-to-head between 2-4 models: aggregate ranks, rating gap with a significance note based on the standard errors, and notable benchmarks they share.	Head-to-head between 2-4 models: aggregate ranks, rating gap with a significance note based on the standard errors, and notable benchmarks they share.	No	Yes	Yes	No
`get_benchmark`One benchmark in depth: what it measures, the original source leaderboard URL, IRT stats (difficulty, noise, model coverage), skill weights, and the current top models on it.	One benchmark in depth: what it measures, the original source leaderboard URL, IRT stats (difficulty, noise, model coverage), skill weights, and the current top models on it.	No	Yes	Yes	No
`get_leaderboard`Top of the cross-benchmark aggregate ranking: published Aggregate Ratings combine public benchmark evidence on one scale (call about_the_aggregate for the current coverage and method). One row per model by default, fused across reasoning-effort settings. Supports paging via limit/offset.	Top of the cross-benchmark aggregate ranking: published Aggregate Ratings combine public benchmark evidence on one scale (call about_the_aggregate for the current coverage and method). One row per model by default, fused across reasoning-effort settings. Supports paging via limit/offset.	No	Yes	Yes	No
`get_model`One model in depth: aggregate rank, Aggregate Rating with standard error, provider, what it is, cost per task where known, and its most notable benchmark results (with percentiles).	One model in depth: aggregate rank, Aggregate Rating with standard error, provider, what it is, cost per task where known, and its most notable benchmark results (with percentiles).	No	Yes	Yes	No
`get_prediction_duel`Guesswork — the public prediction duel: every day frontier LLMs and The Aggregate's own IRT model predict newly scraped benchmark scores before seeing them, and the errors are scored. Returns the current monthly standings, wins and losses included.	Guesswork — the public prediction duel: every day frontier LLMs and The Aggregate's own IRT model predict newly scraped benchmark scores before seeing them, and the errors are scored. Returns the current monthly standings, wins and losses included.	No	Yes	Yes	No
`search_benchmarks`Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the rating scale, and the benchmark page URL.	Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the rating scale, and the benchmark page URL.	No	Yes	Yes	No
`search_models`Find ranked models by (partial) name or provider. Returns rank, Aggregate Rating and the model page URL. One row per model by default, fused across reasoning-effort settings.	Find ranked models by (partial) name or provider. Returns rank, Aggregate Rating and the model page URL. One row per model by default, fused across reasoning-effort settings.	No	Yes	Yes	No

Details

Registry status: Active
Published: Oct 9, 2026
Updated: Oct 9, 2026
Website: https://theaggregate.ai/mcp⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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