Use the Hugging Face Hub in AI workflows
Connect the Hugging Face MCP server and your workflows can search the Hub, read model and dataset details, and call community Spaces as tools.
- Weekly scheduletrigger
- Search new modelsaction
- Agent comparesAI
- Send digestdone
The Hugging Face Hub is where new models, datasets, and demos appear first. With the Hugging Face MCP server connected, a Spojit workflow can research candidate models for a task, track new papers, or call a community Space, such as a transcription or image tool, as one step in a larger process.
Paste the Hugging Face MCP URL and sign in. Pick extra tools and Spaces in your Hugging Face MCP settings.
Step-by-step setup guideHugging Face inside a durable workflow
Model research
Search the Hub for models that fit a task and have an agent compare them in a short report.
Paper and model watch
Track new papers or model releases on a topic and send a weekly digest.
Spaces as steps
Call an MCP-enabled Gradio Space, such as transcription, as a step in a workflow.
Why teams run this on Spojit
With Spojit
- Research and tool calls run on durable execution with retries.
- Choose exactly which Spaces and extra tools are enabled in your Hugging Face MCP settings.
- Combine Hub research with the rest of your stack.
Hugging Face, answered
How do I add a Space as a tool?
Add it in your Hugging Face MCP settings, then re-save the connection in Spojit to refresh the tool list.
Which tools are available?
Hugging Face hosts and curates the MCP server, so the tool list is theirs and can change. See Hugging Face's MCP documentation, linked from our setup guide, for the current set.
What is possible depends on your plan and authorized access. The Hugging Face MCP server is hosted by Hugging Face, so its availability, tool surface, and any usage limits are set by Hugging Face. You can request a feature or integration any time, and we will get in touch to figure out how to make it work.
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