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MCP live MCP 2025-06-18 streamable-http

The Aggregate — LLM benchmark aggregate

ai.theaggregate/the-aggregate

Fused LLM rankings: one IRT/Elo scale across ~5,000 public benchmark leaderboards, updated daily.

Uptime
100.0%
1 direct probes · 30d
Response
125ms
last probe
Tools
8
callable
Resources
0
readable
Prompts
0
available

Tools · 8

get_leaderboard

Top of the cross-benchmark aggregate ranking: every model placed on one Elo scale by an IRT model fit over ~5,000 public benchmark leaderboards. One row per model by default, fused across reasoning-ef…

search_models

Find ranked models by (partial) name or provider. Returns rank, Elo and the model page URL. One row per model by default, fused across reasoning-effort settings.

get_model

One model in depth: aggregate rank, Elo with standard error, provider, what it is, cost per task where known, and its most notable benchmark results (with percentiles).

compare_models

Head-to-head between 2-4 models: aggregate ranks, Elo gap with a significance note based on the standard errors, and notable benchmarks they share.

search_benchmarks

Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the Elo scale, and the benchmark page URL.

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.

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 curr…

about_the_aggregate

What this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "the_aggregate_—_llm_benchmark_aggregate": {
      "url": "https://theaggregate.ai/mcp",
      "transport": "streamable-http"
    }
  }
}