Hugging Face vs LiteLLM Multi-Model API
Hugging Face is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). LiteLLM Multi-Model API is an MCP server published by BerriAI. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-19. 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 |  Hugging Face | |
|---|---|---|
| Docker MCP Catalog | Listed Version: not stated No figure published Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 1.0.2 Downloads/month (PyPI): 162 Downloads/week (PyPI): 58 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 | LiteLLM Multi-Model API |
|---|---|---|
| Marketplaces that list it | 1 | 1 |
| Last release | Not published | Not published |
| Where it runs (differs) | Remote server (huggingface.co/mcp) | On your machine (litellm-mcp) |
| Transport (differs) | Streamable HTTP | stdio |
| Tools it declares (differs) | 4 | Not published |
| Environment variables it asks for (differs) | Not published | 4, secrets among them: 3 |
| Licence (differs) | Apache-2.0 | Not stated |
| Repository (differs) | Not stated | github.com/berriai/litellm-agent-mcp |
| Changes in the last 7 days | 0 | 0 |
| First seen | 2026-10-11 | 2026-10-11 |
| Endpoint at the last check (differs) | Responded 3 days ago | 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.
LiteLLM Multi-Model API
Access 100+ LLMs with one API: GPT-4, Claude, Gemini, Mistral, and more.
How to run each
Hugging Face As a remote MCP server
claude mcp add --transport http hugging-face https://huggingface.co/mcpLiteLLM Multi-Model API As a local MCP server: PyPI package
claude mcp add --env "ANTHROPIC_API_KEY=<YOUR_ANTHROPIC_API_KEY>" --env "LITELLM_API_KEY=<YOUR_LITELLM_API_KEY>" --env "OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>" --transport stdio litellm-mcp -- uvx litellm-mcpRequires: ANTHROPIC_API_KEY (secret), LITELLM_API_KEY (secret), OPENAI_API_KEY (secret)
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Only Hugging Face has a remote endpoint we check. How we check endpoints
Tools each declares
Neither the marketplaces of LiteLLM Multi-Model API nor its endpoint list any tools, so we do not compare tools.
Settings each asks for
The marketplaces of Hugging Face publish no settings it asks for, so we do not compare settings.
What it can do: Hugging Face · What it can do: LiteLLM Multi-Model API · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. 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.