Fused LLM rankings: one IRT/Elo scale across ~5,000 public benchmark leaderboards, updated daily.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Inspect callable tools, capabilities, and parameters exposed to AI agents by The Aggregate β LLM benchmark aggregate.
get_leaderboardTop of the cross-benchmark aggregate ranking: every model placed on one Elo scale by an IRT model fit over ~5,000 public benchmark leaderboards. Supports paging via limit/offset.
search_modelsFind ranked models by (partial) name or provider. Returns rank, Elo and the model page URL.
get_modelOne 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_modelsHead-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_benchmarksFind benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the Elo scale, and the benchmark page URL.
get_benchmarkOne 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.
The Aggregate β LLM benchmark aggregate is a π» Developer Tools MCP server listed on AllMCPs. Fused LLM rankings: one IRT/Elo scale across ~5,000 public benchmark leaderboards, updated daily.
We couldnβt automatically pull a README for this listing from theaggregate.ai, so the summary above comes from its listing details. To install it, use the one-click buttons or copy the config from the Quick Install section above, then open the source repository for full setup instructions, configuration options, and the tools it exposes over MCP.
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