Neurolink vs The Aggregate — LLM benchmark aggregate
A side-by-side look at the Neurolink and The Aggregate — LLM benchmark aggregate MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
T
The Aggregate — LLM benchmark aggregateAggregators · Remote HTTP/SSEFused LLM rankings: one IRT/Elo scale across ~5,000 public benchmark leaderboards, updated daily.51GoodAuth: not declaredVerdict: choose Neurolink for aggregators work as a local process; choose The Aggregate — LLM benchmark aggregate for aggregators over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Neurolink when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
TChoose The Aggregate — LLM benchmark aggregate when
- You need dedicated capabilities in the Aggregators domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
get_leaderboard, search_models, get_model.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | T The Aggregate — LLM benchmark aggregate | |
|---|---|---|
| Category | Aggregators | Aggregators |
| Quality signal | 63/100 · Good | 51/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Remote HTTP/SSE |
| Auth | API key required | Not declared |
| Pricing | BYOK (pay the provider) | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 157 | — |
| Directory activity | 5 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | Not listed | 8 |
| Full listing | View Neurolink | View The Aggregate — LLM benchmark aggregate |
Tools & capabilities
Neurolink tools
No tool names declared yet. Check the project README from the listing page.
The Aggregate — LLM benchmark aggregate tools 8
get_leaderboardTop 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 across reasoning-effort settings. Supports paging via limit/offset.search_modelsFind 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_modelOne 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_modelsHead-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_benchmarksFind benchmarks in the aggregate by (partial) name. Returns model coverage, difficulty on the rating 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.get_prediction_duelGuesswork — 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_aggregateWhat this data is: how the IRT fusion works, current coverage counts, update cadence, and how to cite it.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Neurolink
{
"mcpServers": {
"juspay-neurolink": {
"command": "npx",
"args": [
"-y",
"@juspay/neurolink"
]
}
}
}
The Aggregate — LLM benchmark aggregate
{
"mcpServers": {
"the-aggregate-llm-benchmark-aggregate-2": {
"url": "https://theaggregate.ai/mcp"
}
}
}
Frequently asked questions
Neurolink is categorized under Aggregators and uses a local stdio subprocess. The Aggregate — LLM benchmark aggregate belongs to Aggregators and uses a remote HTTP/SSE transport. Pick Neurolink for aggregators work and The Aggregate — LLM benchmark aggregate for aggregators.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Neurolink is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. The Aggregate — LLM benchmark aggregate has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add juspay-neurolink and the-aggregate-llm-benchmark-aggregate-2 as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Neurolink has a quality signal of 63/100 (Good) with 5 views, 0 installs and 157 GitHub stars. The Aggregate — LLM benchmark aggregate has 51/100 (Good) with 0 views, 0 installs and 0 GitHub stars.