MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
Hugging Face is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
4
tools declared
—
trust score
remote
at its publisher
—
calls last 7d
What it does
Search HF models, datasets, papers and Spaces; anonymous users get a standard Hub toolset plus an image generator.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http hf-co-hugging-face-mcp https://hf.co/mcp
# 2 — ask your agent for something these tools do
# hf_whoami, hub_repo_search, hub_repo_details and 1 more
Hugging Face costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
HCAll 1 server
hf.co1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http hf-co-hugging-face-mcp https://hf.co/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
4 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Inspect the current Hugging Face authentication context, including the account, visible organization memberships, and credential access details. Read-only and never returns credential values.
No parameter schema on file.
Search Hugging Face repositories with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Include links to repositories in your response.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | no | Search term. Leave blank and specify sort + limit to browse trending or recent repositories. |
| repo_types | array | no | Repository types to search. Defaults to ["model", "dataset"]. space uses keyword search via /api/spaces. |
| author | string | no | Organization or user namespace to filter by (e.g. 'google', 'meta-llama', 'huggingface'). |
| filters | array | no | Optional hub filter tags. Applied to each selected repo type (e.g. ["text-generation"], ["language:en"], ["mcp-server"]). |
| sort | string | no | Sort order (descending): trendingScore, downloads, likes, createdAt, lastModified |
| limit | number | no | Maximum number of results to return per selected repo type |
Get details for one or more Hugging Face repos (model, dataset, or space). Auto-detects type unless specified. For datasets, use operations: overview, dataset_structure, dataset_preview. Use dataset_structure first to discover configs, splits, sizes, and schema. Use dataset_preview only when config and split are known, unless the dataset has a single config/split.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| repo_ids | array | yes | Repo IDs for (models|dataset/space) - usually in author/name format (e.g. openai/gpt-oss-120b) |
| repo_type | string | no | Specify lookup type; otherwise auto-detects |
| operations | array | no | Details to return. Defaults to ["overview"]. For datasets, prefer ["overview", "dataset_structure"] first; then call ["dataset_preview"] with config and split. |
| config | string | no | Dataset Viewer config. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure. |
| split | string | no | Dataset Viewer split. Required for dataset_preview when the dataset has multiple config/split options. Discover via dataset_structure. |
| offset | integer | no | Row offset for dataset_preview. Defaults to 0. |
| limit | integer | no | Row count for dataset_preview. Defaults to 5 and is clamped to 1-100. |
When to use: Hugging Face Hub models, datasets, Spaces, collections, papers, daily papers, today's trending models, current paper leaderboard, docs, and repository files. Examples: {"operations":[{"cmd":"ls","args":["hf://models/trending","--limit","10"]}]} {"operations":[{"cmd":"ls","args":["hf://papers/trending"]}]} {"operations":[{"cmd":"ls","args":["hf://papers/daily/latest"]}]} {"ope
| Parameter | Type | Required | Notes |
|---|---|---|---|
| operations | array | yes | — |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Hugging Face or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.4.12.
0.4.12
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Hugging Face can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.