Ext Ops Panel
Open dashboard
Comparison

apcore-mcp vs Benchwarmers

apcore-mcp is an MCP server published by aiperceivable. Marketplaces we read that list it: 1 (PyPI (MCP servers)). Benchwarmers is an MCP server published by WendellResearch-AI. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-11. 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
Marketplaceapcore-mcpBenchwarmers
PyPI (MCP servers) Listed
Version: 0.23.3
Downloads/month (PyPI): 1 885
Downloads/week (PyPI): 323
Forks (GitHub): 0
Stars (GitHub): 1
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.6.5
Downloads/month (npm): 3 310
Downloads/week (npm): 1 420
Forks (GitHub): 0
Stars (GitHub): 1
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

apcore-mcp vs Benchwarmers
Factapcore-mcpBenchwarmers
Marketplaces that list it11
Stars (GitHub)11
Forks (GitHub)00
Last release (differs)2026-10-26 (worse)2026-11-10 (better)
Where it runs (differs)On your machine (apcore-mcp)On your machine (@wendellresearch-ai/benchwarmers)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published3, secrets among them: 1
Licence (differs)Apache-2.0Not stated
Repository (differs)github.com/aiperceivable/apcore-mcp-pythongithub.com/wendellresearch-ai/benchwarmers
Changes in the last 7 days (differs)05
First seen (differs)2026-10-122026-10-23

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

apcore-mcp

In its own words, on PyPI (MCP servers):

Automatic MCP Server & OpenAI Tools Bridge for apcore

Benchwarmers

In its own words, on Official MCP Registry:

Ask a collection of LLMs at once through your Benchwarmers server; verdicts pick the next panel.

How to run each

apcore-mcp

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

Benchwarmers As a local MCP server: npm package

Claude Code
claude mcp add --env "BENCHWARMERS_KEY=<YOUR_BENCHWARMERS_KEY>" --transport stdio benchwarmers -- npx -y @wendellresearch-ai/benchwarmers mcp

Requires: BENCHWARMERS_KEY (secret)

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

The marketplaces of apcore-mcp publish no settings it asks for, so we do not compare settings.

What it can do: apcore-mcp · What it can do: Benchwarmers · Compare two other plugins

Package data comes from the Python Package Index (pypi.org). 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