Hugging Face MCP
Access Hugging Face models, datasets, and Spaces from your AI agent
BestMCPTools
Hugging Face MCP
bestmcptools.org
Last verified: August 9, 2026
Maintenance status
ActiveHow to Install Hugging Face MCP
$Remote endpoint: https://huggingface.co/mcpRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
Setup by client
Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"hugging-face-mcp": {
"url": "https://huggingface.co/mcp"
}
}
}VS Code (.vscode/mcp.json)
{
"servers": {
"hugging-face-mcp": {
"type": "http",
"url": "https://huggingface.co/mcp"
}
}
}Claude Code (terminal)
claude mcp add --transport http hugging-face-mcp https://huggingface.co/mcpAdd any API keys or environment variables the server's README lists.
About Hugging Face MCP
The Hugging Face MCP server lets AI assistants search and use models, datasets, and Spaces on the Hugging Face Hub, and call hosted inference. It ships as an official remote endpoint so agents can pull ML resources directly into their workflow.
Hugging Face MCP is a AI & LLM MCP server designed for AI engineers, researchers, and product teams. It enables orchestrating models, embeddings, and vector stores from an MCP client by normalising provider APIs into MCP tools for routing and composition. Key capabilities include multi-provider model access, embeddings and similarity search, vector store crud, and structured tool calls that work cleanly inside an LLM context. It integrates with OpenAI, Anthropic, Google, Mistral, Pinecone, Weaviate, Qdrant, and Chroma, and is best suited for AI engineers, researchers, and product teams who need multi-model routing.
Key Features
- AI
- ML
- Models
- Datasets
- Inference
Pricing
Freemium: from Free
Pros & Cons
Pros
- Clean seam between user-facing assistant and AI plumbing
- Swap backends without rewriting prompts
- Surfaces cost and token usage explicitly
Cons
- Adds another moving piece to debug
- Cost can balloon under heavy delegation
- Provider quirks still leak through in edge cases
Best For
- Multi-model routing
- Private knowledge-base queries
- Agent-to-agent delegation
- Cost and latency experiments
Our Take on Hugging Face MCP
A must-have for AI/ML workflows: connects agents straight to the largest open model and dataset hub. Free to start, with a hosted remote endpoint that makes setup trivial.