Hugging Face vs chinese-llm-models
Hugging Face is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). chinese-llm-models is a plugin bundle for AI coding tools published by aisa-one. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-community). As of our marketplace pass on 2026-10-14. 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
| Marketplace |  chinese-llm-models | |
|---|---|---|
| Docker MCP Catalog | Listed Version: not stated No figure published Not marked · First seen |
Not listed |
| Claude Code: claude-plugins-community | Not listed | Listed Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 0 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
| Fact | Hugging Face | chinese-llm-models |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | No figure on GitHub | 0 |
| Forks (GitHub) (differs) | No figure on GitHub | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | Remote server (huggingface.co/mcp) | Installs as a plugin bundle |
| Transport (differs) | Streamable HTTP | Not stated |
| Tools it declares (differs) | 4 | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | Not a bundle | 1 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | Not stated | github.com/aisa-one/aisa-provider |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
| Endpoint at the last check (differs) | not checked yet | no remote endpoint we check |
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
Hugging Face
Tools for interacting with Hugging Face models, datasets, research papers, and more.
chinese-llm-models
A unified API gateway that provides access to 6+ leading Chinese AI models (Kimi K2.5, Qwen3 Max, DeepSeek V3.2, GLM-5, MiniMax M2.1, Seed 1.8) through a single OpenAI-compatible endpoint. Features pay-per-use pricing, automatic cost tracking, and seamless integration with existing OpenAI client code.
How to run each
Hugging Face As a remote MCP server
claude mcp add --transport http hugging-face https://huggingface.co/mcpchinese-llm-models As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install chinese-llm-models@claude-communityCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of chinese-llm-models publish no list of tools, so we do not compare tools.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: Hugging Face · What it can do: chinese-llm-models · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.