Description

Connect to the Hugging Face Hub to explore Models and Datasets, access SDK Documentation and more. Manage Machine Learning Jobs and connect to thousands of AI applications via Spaces.

Website Preview

Screenshot of Hugging Face website

App Screenshots

Hugging Face screenshot

Capabilities

Can Modify Data

Publisher Intelligence

Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.

Server Status @huggingface/mcp-services v0.3.13

8
Tools
0
Resources
4
Prompts
https://huggingface.co/mcp?login

Last checked: 22h ago

Server Instructions

You have tools for using the Hugging Face Hub. arXiv paper id's are often used as references between datasets, models and papers. There are over 100 tags in use, common tags include 'Text Generation', 'Transformers', 'Image Classification' and so on. The Hugging Face tools are being used anonymously and rate limits apply. Direct the User to set their HF_TOKEN (instructions at https://hf.co/settings/mcp/), or create an account at https://hf.co/join for higher limits.

Technical Details
Connection Latency 138ms
30-Day Uptime 100.0%

Tools(8)

Showing 8 of 8 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
gr1_z_image_turbo_generate
Generate an image using the Z-Image model based on the provided prompt and settings. This function is triggered when the user clicks the "Generate" button. It processes the input prompt (optionally enhancing it), configures generation parameters, and produces an image using the Z-Image diffusion transformer pipeline. Returns: tuple: (gallery_images, seed_str, seed_int), - seed_str: String representation of the seed used for generation, - seed_int: Integer representation of the seed used for generation (from mcp-tools/Z-Image-Turbo)—
100%Latency 336ms
Mar 22, 2026
hf_doc_fetch
Fetch a document from the Hugging Face or Gradio documentation library. For large documents, use offset to get subsequent chunks.
read-only
100%Latency 203ms
Mar 22, 2026
hf_doc_search
Search and Discover Hugging Face Product and Library documentation. Send an empty query to discover structure and navigation instructions. Knowledge up-to-date as at 16 May 2026. Combine with the Product filter to focus results.
read-only
100%Latency 442ms
Mar 22, 2026
hf_whoami
Hugging Face tools are being used anonymously and may be rate limited. Call this tool for instructions on joining and authenticating.
read-only
100%Latency 9.4s
Mar 22, 2026
hub_repo_details
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.
read-only
100%Latency 241ms
Mar 22, 2026
hub_repo_search
Search Hugging Face repositories with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Use space_search for semantic-first discovery of Spaces. Include links to repositories in your response.
read-only
100%Latency 293ms
Mar 22, 2026
paper_search
Find Machine Learning research papers on the Hugging Face hub. Include 'Link to paper' When presenting the results. Consider whether tabulating results matches user intent.
read-only
100%Latency 2.0s
Mar 22, 2026
space_search
Find Hugging Face Spaces using semantic search. IMPORTANT Only MCP Servers can be used with the dynamic_space toolInclude links to the Space when presenting the results.
read-only
100%Latency 617ms
Mar 22, 2026

Keywords

Trigger Keywords (@mentions)

@hugging face @huggingface

Discoverability Score

65

Fair

65 of 100 — how easily AI agents find your app

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    4/15
  • Tool metadata
    20/20
  • Visual assets
    13/20
  • Endpoint health
    10/10
  • Data freshness
    11/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Requires Login
Listed on
ChatGPT Claude
Added
August 28, 2025
Last synced
May 3, 2026
Last checked
22h ago
Version
0.3.13
Distribution
Ecosystem Directory

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