NestDaddy

The Aggregate — LLM benchmark aggregate

ai.theaggregate/the-aggregate · v1.0.2

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

Connect Remote server

Terminal
claude mcp add --transport http the-aggregate https://theaggregate.ai/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "the-aggregate": {
      "url": "https://theaggregate.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "the-aggregate": {
      "type": "http",
      "url": "https://theaggregate.ai/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://theaggregate.ai/mcp

Tools 8 found in our last check

  • 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 limi…

  • 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.

  • 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).

  • 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.

  • search_benchmarks

    Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the rating 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 current monthly standings, wins and losses included.

  • about_the_aggregate

    What this data is: the published rating method, current coverage counts, update cadence, and how to cite it.

Details

Endpointhttps://theaggregate.ai/mcp (Streamable HTTP)
First published9 Oct 2026
Last updated9 Oct 2026
Registry nameai.theaggregate/the-aggregate

More ai and media servers See all

Listing data from the official MCP registry. Status and tools from NestDaddy's daily check. Browse all MCP servers.