Bring Machine Learning
to Windsurf
Learn how to connect Hugging Face to Windsurf and start using 15 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Hugging Face MCP Server?
Connect your Hugging Face account to any AI agent and interact with the Hub through natural conversation.
What you can do
- Model Discovery — Search models by keyword, author, or pipeline task
- Dataset Exploration — Browse and inspect dataset schemas and metadata
- Spaces — Search and view interactive ML demo applications
- Collections — List curated groups of models, datasets, and Spaces
- Inference — Run any hosted model: text generation, classification, summarization
- Account — View your profile, orgs, and token scopes
- Health Check — Verify API connectivity
Built-in capabilities (15)
Verify API connectivity
Get account info
Get dataset details
Get model details
Get Space details
List curated collections
Search datasets
Search models on Hugging Face Hub
List models by author
) sorted by downloads. List models by task
Search Spaces
Run model inference
Summarize text
Classify text
Generate text with a model
Why Windsurf?
Windsurf's Cascade agent chains multiple Hugging Face tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 15 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
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Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
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JSON-based configuration means zero code changes: paste a URL, reload, and all 15 tools are immediately available
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Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Hugging Face in Windsurf
Hugging Face and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Hugging Face to Windsurf through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Hugging Face in Windsurf
The Hugging Face MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 15 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Windsurf only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Hugging Face for Windsurf
Every tool call from Windsurf to the Hugging Face MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI run inference on Hugging Face models?
Yes. Use run_inference, run_text_generation, run_text_classification, or run_summarization to send input to any hosted model and get results instantly.
How do I find the best model for a task?
Use list_models_by_task with a pipeline tag like 'text-generation' or 'image-classification'. Results are sorted by downloads so the most popular appear first.
Can I browse datasets and Spaces?
Yes. list_datasets and list_spaces let you search by keyword, and get_dataset / get_space return full metadata.
How does Windsurf discover MCP tools?
Windsurf reads the mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.
Can Cascade chain multiple MCP tool calls?
Yes. Cascade is an agentic system. it can plan and execute multi-step workflows, calling several tools in sequence to accomplish complex tasks without manual prompting between steps.
Does Windsurf support multiple MCP servers?
Yes. Add as many servers as needed in mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.
Server not connecting
Check Settings → MCP for the server status. Try toggling it off and on.