pulsemcp verified Safe content atomic mcp-remote

Hugging Face Spaces

MCP-HFSpace provides a bridge between Claude Desktop and Hugging Face Spaces, allowing AI assistants to interact with machine learning models hosted on Hugging Face. Built by Shaun Smith, this Node.js implementation automatically discovers and exposes Gradio endpoints as MCP tools, handling parameter conversion, file uploads, and progress notifications. It supports various output types including text, images, and audio files, with special handling for Claude Desktop compatibility. The server runs locally using stdio transport, making it ideal for workflows requiring access to specialized AI models without leaving the conversation interface.

Cognium trust score

79%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/xiyuefox/mcp-hfspace
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

View source Find related skills

MCP

Resolve Hugging Face Spaces from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"