co.huggingface/hf-mcp-server · v0.2.33 · developer-tools
Hugging Face is healthy: it completed an MCP handshake in 414 ms and exposes 4 tools.
Connect to Hugging Face Hub and thousands of Gradio AI Applications
Endpoint: https://huggingface.co/mcp?login (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 414 ms |
| Last checked (UTC) | 2026-10-15T18:25:13.954Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-15T18:25:13.954Z | Healthy | 414 | |
| 2026-10-14T17:30:47.767Z | Needs auth | 1371 | initialize: HTTP 401 |
hf_whoami | Inspect the current Hugging Face authentication context, including the account, visible organization memberships, and credential access details. Read-only and never returns credential values. |
hub_repo_search | Search Hugging Face repositories with a shared query interface. You can target models, datasets, spaces, or aggregate across multiple repo types in one call. Include links to repositories in your response. |
hub_repo_details | Get details for one or more Hugging Face repos (model, dataset, or space). Auto-detects type unless specified. For datasets, use operations: overview, dataset_structure, dataset_preview. Use dataset_structure first to discover configs, splits, sizes, and schema. Use dataset_preview only when config |
hf_fs | When to use: Hugging Face Hub models, datasets, Spaces, collections, papers, daily papers, today's trending models, current paper leaderboard, docs, and repository files. Examples: {"operations":[{"cmd":"ls","args":["hf://models/trending","--limit","10"]}]} {"operations":[{"cmd":"ls","args":["h |