chinese-llm-models vs China Data: Taobao, Bilibili, WeChat, Trending
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). China Data: Taobao, Bilibili, WeChat, Trending is an MCP server published by LMSlay. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-28. 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 |  China Data: Taobao, Bilibili, WeChat, Trending |
|---|---|---|
| Claude Code: claude-plugins-community | Listed Version: 1.0.0 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.3.1 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
| Fact | chinese-llm-models | China Data: Taobao, Bilibili, WeChat, Trending |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Stars (GitHub) (differs) | 0 (worse) | 1 (better) |
| Forks (GitHub) | 0 | 0 |
| Last release (differs) | Not published | 2026-10-19 |
| Where it runs (differs) | Installs as a plugin bundle | Remote server (mcp.apify.com) |
| Transport (differs) | Not stated | Streamable HTTP |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle (differs) | 1 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/aisa-one/aisa-provider | github.com/lmslay/tubetext-mcp |
| Changes in the last 7 days | 0 | 0 |
| First seen (differs) | 2026-10-11 | 2026-10-14 |
| Endpoint at the last check (differs) | no remote endpoint we check | Not responding since 2026-10-24 |
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
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.
China Data: Taobao, Bilibili, WeChat, Trending
Taobao/Tmall, Bilibili videos + transcripts, WeChat articles, China hot search, suppliers by photo.
How to run each
chinese-llm-models As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-community
/plugin install chinese-llm-models@claude-communityChina Data: Taobao, Bilibili, WeChat, Trending
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Requires: Authorization header
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only China Data: Taobao, Bilibili, WeChat, Trending has a remote endpoint we check. How we check endpoints
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: chinese-llm-models · What it can do: China Data: Taobao, Bilibili, WeChat, Trending · Compare two other plugins
Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. 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.