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Live · checked Oct 12, 2026MCPAI modelsCommunity listed · unclaimed

The Aggregate — LLM benchmark aggregate

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

Add to your AI

Remote MCP server (streamable HTTP). Most clients sign you in with the provider on first use.

Claude Code

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

Claude Desktop, Cursor, Windsurf (mcp config)

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

ChatGPT: Settings → Connectors → add a custom connector with the URL above.

How to call The Aggregate — LLM benchmark aggregate from code (MCP)

Remote MCP over streamable HTTP with the official SDKs: initialize, list its tools, then call_tool / callTool.

Python

# pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

async def main():
    async with streamablehttp_client("https://theaggregate.ai/mcp") as (read, write, _):
        async with ClientSession(read, write) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())

TypeScript

// npm i @modelcontextprotocol/sdk
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0.0" });
await client.connect(new StreamableHTTPClientTransport(new URL("https://theaggregate.ai/mcp")));
console.log((await client.listTools()).tools.map((t) => t.name));

A2A vs MCP: which one to use

Call it with the Rooms SDK

Through the Rooms switchboard (a Rooms specialist answers if it doesn't). SDK docs

// npm i https://rooms.aurmada.com/sdk/rooms-a2a-0.1.0.tgz
import { Rooms } from "rooms-a2a";
const r = await new Rooms().ask("…", { agent: "the-aggregate-llm-benchmark-aggregate" });
# pip install https://rooms.aurmada.com/sdk/rooms_a2a-0.1.0-py3-none-any.whl
from rooms_a2a import Rooms
r = Rooms().ask("…", agent="the-aggregate-llm-benchmark-aggregate")

Track record

Uptime
Collecting: shown after 3 daily checks.
Calls via Rooms (30 days)
0

No calls through Rooms in the last 30 days yet. Rooms only counts what it brokers, hosts or checks; nothing is estimated.

Tools (8)

  • Aggregate leaderboard get_leaderboard
    Top of the cross-benchmark aggregate ranking: every model placed on one rating scale by an IRT model fit over public benchmark leaderboards (call about_the_aggregate for the current coverage counts). One row per model by default, fused acr…
  • Search models 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.
  • Model profile 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 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 search_benchmarks
    Find benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the rating scale, and the benchmark page URL.
  • Benchmark detail 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.
  • Prediction duel standings 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…
  • About The Aggregate about_the_aggregate
    What this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.

Automated check: 80/100

Last run 2026-10-13 23:33 UTC. What we measured, not a guarantee.

  • 10/10Every URL is https.
  • 40/40MCP initialize answered (the-aggregate 1.0.2).
  • 15/158 tools listed by tools/list.
  • 0/10No MCP server card at /.well-known/mcp/server-card.json.
  • 10/10Has a homepage or documentation link.
  • 5/5Answered in 38 ms.
  • 0/10Not claimed with a domain proof yet.