mcp server
The Aggregate — LLM benchmark aggregate
Fused LLM rankings: one IRT/Elo scale across ~5,000 public benchmark leaderboards, updated daily.
Description as published by the maintainer. Source
- version 1.0.1
- active
- evaluation
active — Registry entry last updated 2026-07-25. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
8 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
about_the_aggregate- What this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.
compare_models(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. Required: models.
get_benchmark(top, 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. Required: benchmark.
get_leaderboard(limit, offset)- 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. Supports paging via limit/offset.
get_model(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). Required: model.
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.
search_benchmarks(limit, query)- Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the Elo scale, and the benchmark page URL. Required: query.
search_models(limit, query)- Find ranked models by (partial) name or provider. Returns rank, Elo and the model page URL. Required: query.
Last successful function declaration observed on . Source: https://theaggregate.ai/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://theaggregate.ai/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.1 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-25 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-25 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 8 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | theaggregate.ai | |
| mcp endpoint status | ok | The server listed 8 functions when asked. | as of probe | theaggregate.ai |
Where to get it
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json