Hugging Face Official MCP Server
Install NowSearch and explore Hugging Face Hub resources including models, datasets, Spaces, and papers
Search and explore Hugging Face Hub resources including models, datasets, Spaces, and papers
Hugging Face search and explore hugging face hub resources including models, datasets, spaces, and papers. The official Hugging Face MCP server provides AI agents with standardized access to Hugging Face's services, enabling powerful automation and integration capabilities that enhance developer productivity and streamline workflows.
This official MCP server is maintained and verified by Hugging Face, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on huggingface.co, guaranteeing secure and reliable access to Hugging Face's services.
Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Hugging Face MCP server provides a standardized way to connect AI agents with Hugging Face's extensive platform capabilities. This integration enables natural language interactions with Hugging Face, making it easier than ever to leverage Hugging Face's features through AI assistants like Claude, ChatGPT, and Cursor.
The official Hugging Face MCP server enables AI agents to:
These capabilities make it easy for AI agents to work with Hugging Face as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.
The Hugging Face MCP server provides 3 tools for AI agents to interact with the platform. Use the search below to find specific tools.
| Tool Name | Description |
|---|---|
get_resource | Retrieve metadata, links, and context for a Hub resource |
run_space_tool | Run community tools via MCP-compatible Gradio apps hosted on Spaces |
search_hub | Search and explore Hub resources: models, datasets, Spaces, and papers |
Last updated: January 29, 2026 at 12:00 PM
AI agents can use the Hugging Face MCP server to automate repetitive tasks and manage workflows within Hugging Face's platform.
The MCP server allows AI agents to query and retrieve data from Hugging Face, enabling intelligent data analysis and insights.
Developers can integrate Hugging Face capabilities directly into their AI coding assistants for seamless workflows.
Visit https://huggingface.co, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Hugging Face MCP server.
Yes, this MCP server is officially provided and maintained by Hugging Face. The endpoint https://huggingface.co/mcp is hosted on their official domain huggingface.co, ensuring reliability and security.
The Hugging Face MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.
Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.
The MCP server itself is free to use, but you may need a Hugging Face account and API access, which may have its own pricing tiers. Check https://huggingface.co for current pricing information.
The Hugging Face MCP server enables AI agents to search the web and retrieve information. Search and explore Hugging Face Hub resources including models, datasets, Spaces, and papers This allows you to interact with Hugging Face's platform through natural language commands in your AI assistant.
Ensure your API key is correctly configured and your network allows outbound connections to huggingface.co. Verify that the MCP endpoint URL https://huggingface.co/mcp is accessible from your network.
Verify your API key is valid and has not expired. Generate a new key from https://huggingface.co if needed. Make sure you're using the correct authentication method as specified in the documentation.
Check Hugging Face's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.
Explore other official MCP servers that work well with Hugging Face:
The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Hugging Face provides standardized access to their services, allowing AI agents to interact with Hugging Face's platform seamlessly.
To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.
Learn more about MCP in our complete guide or browse our FAQ for common questions.