Connect AI Agents to
Hugging Face
Automate workflows and connect AI agents to Hugging Face. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Hugging Face on Metorial
The Hugging Face integration lets you search and explore models, datasets, and Spaces directly from your development environment, making it easy to discover the right pre-trained models and resources for your machine learning projects.
Combine Hugging Face with other tools
Metorial has 600+ integrations available. Here are some related ones you might find interesting.
Exa
The Exa integration lets you perform semantic searches across the web and retrieve high-quality content directly within your workflows, enabling AI agents to find and access relevant information from billions of web pages in real-time.
Hackernews
The Hackernews integration lets you fetch and analyze stories, comments, and user data from Hacker News directly within your workflow, enabling you to track trending topics, monitor discussions, and gather insights from the tech community.
Supabase
The Supabase integration lets you query and manipulate your database tables, manage authentication, and interact with storage buckets directly from your AI assistant. Use it to build applications, analyze data, or automate database operations without leaving your workflow.
GitHub
The GitHub integration lets you search and view repositories, manage issues and pull requests, read file contents, and interact with your GitHub account directly from your workspace.
Google Drive
The Google Drive integration lets you search, read, and manage files and folders in your Google Drive directly through Claude. Use it to access documents, create new files, organize content, and collaborate on shared resources without leaving your conversation.
Brave
The Brave integration lets you perform web searches using Brave Search directly from Claude, allowing you to retrieve up-to-date information, news, and web results without leaving your conversation.
Hugging Face
The Hugging Face integration lets you search and explore models, datasets, and Spaces directly from your development environment, making it easy to discover the right pre-trained models and resources for your machine learning projects.
Tavily
The Tavily integration lets you perform AI-optimized web searches and retrieve real-time information directly within your workflow, enabling your AI assistant to access current data and research capabilities for answering questions and gathering insights.
Neon
The Neon integration lets you manage your serverless Postgres databases directly through AI conversations, enabling you to create projects, query database schemas, execute SQL commands, and monitor database usage without leaving your workflow.
Connect anything. Anywhere.
Supported tools and capabilities
Metorial helps you connect AI agents to Hugging Face with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.
Help & Documentation
Find guides and articles to help you get started with Hugging Face on Metorial.
Learn about Metorial APIs
Deploying MCP Servers on Metorial
Observability & Monitoring in Metorial
Hugging Face
Retrieving Top Stories and Story Feeds
Hugging Face
How to Connect to the Hacker News MCP Server
Hugging Face
Accessing and Navigating Comment Threads
Hugging Face
Viewing User Profiles and Activity History
Hugging Face
Searching for Specific Stories and Items by ID
Hugging Face
Monitoring Real-Time Updates and New Submissions
Hugging Face
Troubleshooting Connection Issues with the Server
Hugging Face
Understanding Hacker News Data Structure and Fields
More about Hugging Face
Hugging Face MCP Server
The Hugging Face MCP server provides seamless integration with Hugging Face's vast ecosystem of machine learning models, datasets, and spaces directly through the Model Context Protocol. This server enables AI assistants and applications to interact with Hugging Face's platform programmatically, making it easier to discover, explore, and leverage community-driven AI resources.
Overview
Hugging Face hosts one of the largest collections of open-source machine learning models and datasets in the world. This MCP server acts as a bridge between your applications and Hugging Face's platform, allowing you to search for models, retrieve detailed information about datasets, explore spaces, and access community resources without leaving your development environment.
Features
Model Discovery and Information
- Search through thousands of pre-trained models across various domains
- Retrieve detailed model information including architecture, training data, and performance metrics
- Access model cards with comprehensive documentation
- Browse models by task type, framework, or language
Dataset Exploration
- Search and discover datasets for machine learning projects
- Access dataset metadata, structure, and statistics
- View dataset cards with usage examples and citation information
- Filter datasets by task, size, or language
Spaces Access
- Explore Hugging Face Spaces hosting interactive demos and applications
- Retrieve information about available spaces and their capabilities
- Discover community-built tools and demonstrations
Community Integration
- Access user profiles and organization information
- Browse trending models and datasets
- Explore community contributions and collaborative projects
Use Cases
The Hugging Face MCP server is ideal for developers, researchers, and data scientists who want to:
- Quickly find appropriate pre-trained models for specific tasks
- Discover relevant datasets for training or evaluation
- Stay updated with the latest community contributions
- Integrate Hugging Face resources into automated workflows
- Build applications that leverage the Hugging Face ecosystem
Getting Started
Once connected, you can start querying the Hugging Face platform through natural language requests. Ask about specific models, search for datasets matching your criteria, or explore what's available for particular machine learning tasks. The server handles the API communication and returns structured, easy-to-understand information.
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About Metorial
Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.