Where My Hug MCP server
Which parts of an ML need Hugging Face already covers. Every model and dataset checked live.
not scanned yet
1 stars
Reviews
Write oneNobody has reviewed Where My Hug yet.
If you have run it, two minutes of your experience saves the next person an afternoon.
Where My Hug tools
No tool declarations could be read from the package source. They show once the server is installed.
How Where My Hug compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 90% of 4,460 AI and agents servers
- GitHub stars
- 1
- more than 50% of 2,711 AI and agents servers
Release history: 5 versions in the registry since 2026-10-13, latest 2026-10-27, typically one every 3 days.
Install Where My Hug in Claude Code, Cursor or VS Code
Runs npx -y where-my-hug on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add where-my-hug -- npx -y where-my-hug
What the publisher says
From the Where My Hug repository's README, as published. We do not edit it. Read it on GitHub
Where My Hug At?
Tell your AI agent what you want a model to do. It tells you which parts already exist on Hugging Face: which are an exact fit, which to fine-tune, which to train, and which are just code. Every model it names is real, current, and sized for your hardware.
Works with Claude Code, Codex, Copilot, Cursor, Gemini CLI, Cline, Devin, Open WebUI and any other MCP client, or as an Agent Skill.
Contents
verdicts · the live check · flags · sizes
- Try it
- How it works: four questions ·
Security
- Example: recipe cards
- Install (every agent, step by step: USAGE.md)
- What leaves your machine · Limits ·
- Development · Credits · License
Try it
Add it to your agent (Claude Code here; every other option below):
claude mcp add --scope user where-my-hug -- npx -y where-my-hugThen ask:
Where my hug at for transcribing handwritten recipe cards?
Your agent asks the few things it can't guess, splits the job into parts, and comes back with a report like the one below, every model and dataset in it looked up on Hugging Face moments before. It works for any job a model might do:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Where My Hug: common questions
- Is Where My Hug MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the Where My Hug safety report
- How do I install Where My Hug?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Where My Hug need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Where My Hug maintained?
- The last commit was 22 days ago (2026-10-13). The latest release is v0.3.1.
- What can I use instead of Where My Hug?
- Servers from other publishers that do the same job: Watch Skill MCP server, WaveSpeed MCP server and Godot MCP server.
- How does Where My Hug compare with other AI and agents MCP servers?
- safety score 92/100 (higher than 90% of 4,460 AI and agents servers); github stars 1 (more than 50% of 2,711 AI and agents servers). Full comparison.
Alternatives to Where My Hug
Same job from other publishers: the closest match first, then the best rated.
- Watch SkillWatch video and live sessions, keep timestamped evidence, and verify an agent's own work.not reviewedEstablishedB
WaveSpeedRun any model on the live WaveSpeed catalog: image, video, audio, 3D.not reviewedEstablishedA- Godot MCPAgent-driven Godot playtesting: editor control, input injection, game-time stepping, live state.not reviewedEstablishedA
- OpenflowkitArchitecture diagrams for your agent: draw on the live OpenFlowKit canvas or edit diagram files.not reviewedEstablishedA
three.ws Avatarsthree.ws 3D avatars in your agent: render a live, interactive 3D avatar inline, or get an embed.not reviewedEstablishedA
