MCP Server to connect to Hugging Face spaces. Simple configuration, Claude Desktop friendly.
If you want an AI assistant working directly with MCP Hfspace, the mcp hfspace mcp server is the bridge. MCP Server to connect to Hugging Face spaces. Simple configuration, Claude Desktop friendly.
Read the introduction here llmindset.co.uk/resources/mcp-hfspace/
Once connected, the assistant can call these 3 tools directly:
Chat — The Chat tool exposed by this serverPrompts — Prompts for each Space are generated, and provide an opportunity to input. Bear in mind that often Spaces aren't configured with particularly helpful labelsResources — A list of files in the WORK_DIR is returned, and as a convenience returns the name as "Use the file..." text. If you want to add something to Claude's contextSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
AI-service servers chain other models into your assistant, turning a single chat into a small production pipeline. MCP Hfspace sits in that group, and the shape of its toolset — Chat, Prompts, Resources — tells you what it is really for. Worth comparing against the other ai services servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Chat | The Chat tool exposed by this server. |
| Prompts | Prompts for each Space are generated, and provide an opportunity to input. Bear in mind that often Spaces aren't configured with particularly helpful labels etc. Claude is actually very good at figuring this out, and the |
| Resources | A list of files in the WORK_DIR is returned, and as a convenience returns the name as "Use the file..." text. If you want to add something to Claude's context, use the paperclip - otherwise specify the filename for the M |
{
"mcpServers": {
"mcp-hfspace": {
"command": "npx"
"args": [
"-y",
"@llmindset/mcp-hfspace",
"--work-dir=~/mcp-files/ or x:/temp/mcp-files/",
"--HF_TOKEN=HF_{optional token}"
"Qwen/Qwen2-72B-Instruct",
"black-forest-labs/FLUX.1-schnell",
"space/example/specific-endpint"
(... and so on)
]
}
}
}Configuration as documented by the project. Restart the client after saving.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.