How to Install Hugging Face MCP in OpenAI Agents SDK
Access 500k+ AI models, datasets, and Spaces on Hugging Face directly from your AI agent
What Hugging Face MCP does
The Hugging Face MCP server gives AI agents direct access to the world's largest AI model repository — search models, run inference, access datasets, and manage Spaces. Features: - Search 500,000+ models by task, framework, and performance - Run inference on any model via the Inference API - Access 150,000+ datasets with previews and schema inspection - Manage and deploy Hugging Face Spaces - View model cards, benchmarks, and community discussions - Compare model performance across leaderboards - Download model weights and tokenizer configs - Access the Open LLM Leaderboard results Use cases: - "Find the best open-source model for sentiment analysis under 1B parameters" - "Run this text through the Mistral-7B model and return the output" - "What datasets are available for training a code completion model?" - "Deploy this Gradio Space and get me the URL" Essential for AI/ML engineers building with open-source models.
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@huggingface/mcp"],
env={
"HF_TOKEN": "hf_...",
},
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Hugging Face MCP, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/hugging-face-mcp)