Hub MCP vs The Aggregate — LLM benchmark aggregate
In-depth architectural comparison of the Hub MCP and The Aggregate — LLM benchmark aggregate MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Hub MCP
Developer Tools · Remote HTTP/SSE
Quality: 77/100 (Great) | Auth: API Key required
The Aggregate — LLM benchmark aggregate
Developer Tools · Remote HTTP/SSE
Quality: 55/100 (Good) | Auth: No auth required
Verdict Summary: Choose Hub MCP if you need specialized Developer Tools tools running via a hosted cloud SSE transport. Choose The Aggregate — LLM benchmark aggregate if your workspace requires Developer Tools integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Hub MCP when:
You need dedicated capabilities in the Developer Tools domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: API Key required (Free / Open Source).
You have access to required keys: HUB_PAT_TOKEN, MCP_AUTH_TOKEN.
Hub MCP is categorized under Developer Tools and uses a remote streaming HTTP/SSE transport. In contrast, The Aggregate — LLM benchmark aggregate belongs to Developer Tools using remote streaming HTTP/SSE transport. Select Hub MCP when you need capabilities focused on developer tools and The Aggregate — LLM benchmark aggregate when you require tools for developer tools.
Number of documents to skip for pagination (number, optional)
images
Filter on image names (string, optional)
operating_systems
Filter on operating systems (string, optional)
order
Change the ordering of results (string, optional)
size
Maximum number of results to return (number, optional)
sort
Sort results by search field (string, optional)
+23 more tools listed on main page
The Aggregate — LLM benchmark aggregate Tools (8)
get_leaderboard
Top of the cross-benchmark aggregate ranking: every model placed on one Elo scale by an IRT model fit over ~6,300 public benchmark leaderboards. One row per model by default, fused across reasoning-effort settings. Supports paging via limit/offset.
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 current monthly standings, wins and losses included.
about_the_aggregate
What this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.
The Aggregate — LLM benchmark aggregate vs Openapi MCP Server