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Comparison

cortex vs LLM Prover

cortex is a plugin bundle for AI coding tools published by ai. Marketplaces we read that list it: 1 (Community GitHub marketplaces). LLM Prover is an MCP server published by pysolvr.com. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-09. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplacecortexLLM Prover
Community marketplace tonone-ai/tonone Listed
Version: 1.19.0
No figure published
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.0.0
No figure published
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

cortex vs LLM Prover
FactcortexLLM Prover
Marketplaces that list it11
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleRemote server (mcp.llmprover.pysolvr.com/mcp)
Transport (differs)Not statedStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)6Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/tonone-ai/tononeNot stated
Changes in the last 7 days22
First seen2026-11-092026-11-09
Endpoint at the last check (differs)no remote endpoint we checknot checked yet

Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.

What each says it does

cortex

In its own words, on Community GitHub marketplaces:

ML/AI engineer — model training, MLOps, feature engineering, LLM integration

LLM Prover

In its own words, on Official MCP Registry:

Evaluate agent workflows and LLMs on your own data: find wasted steps, pick models, catch drift.

How to run each

cortex As a Claude Code plugin

Claude Code
/plugin marketplace add tonone-ai/tonone
/plugin install cortex@tonone-ai

LLM Prover As a remote MCP server

Claude Code
claude mcp add --transport http llmprover https://mcp.llmprover.pysolvr.com/mcp

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

Settings each asks for

Neither one's marketplaces publish the settings it asks for.

What it can do: cortex · What it can do: LLM Prover · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built