Modelhub Port

Name: Modelhub Port
Author: CloudCorpRecords

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.CloudCorpRecords/modelhub-port

Install

Overview

Description from the maker (original English)

Search and inspect Hugging Face models, datasets, spaces, papers and docs.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "modelhub-port": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/modelhub-port",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add modelhub-port -- npx -y @reneturcios/modelhub-port mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "modelhub-port": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/modelhub-port",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "modelhub-port": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/modelhub-port",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7266 servers in this category
Published to the registry more recently than 87% of the other 7266 servers in this category
Basic checks equal to or better than 100% of the other 7266 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Modelhub Port safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

modelhub-port

modelhub-port lets an agent explore the Hugging Face Hub without leaving its tools: look up who a token belongs to, inspect a model, dataset, or space in detail, search across all three repository kinds, list a repository's files, search the daily papers, and search or fetch pages from the Hugging Face documentation. It works from the command line or as an MCP server.

No token is needed to get started. The public Hub endpoints work anonymously, so every tool except hf_whoami runs keyless. When HF_TOKEN is set (the HUGGING_FACE_HUB_TOKEN alias is also accepted), requests carry it as a Bearer token, which raises rate limits and unlocks private or gated content the token can see. hf_whoami is the one tool that needs a token, because its whole job is to say whose token it is; without one it answers with an error naming HF_TOKEN.

Install

npx @reneturcios/modelhub-port search llama --limit 5

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/modelhub-port

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

# Whose token is configured? (requires HF_TOKEN)

modelhub-port whoami

Repository details and file listings

modelhub-port details meta-llama/Llama-3.1-8B modelhub-port details squad --type datasets modelhub-port files meta-llama/Llama-3.1-8B

Search models (default), datasets, or spaces

modelhub-port search "text generation" --sort downloads --limit 10 modelhub-port search --type datasets --author google

Papers and documentation

modelhub-port papers "retrieval augmented generation" modelhub-port doc-search "fine-tuning" modelhub-port doc-fetch https://huggingface.co/docs/transformers/index

modelhub-port --version

Exit codes: 0 on success, 1 when a lookup fails (the error names the problem, including the HTTP status when the Hub answers with one), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/modelhub-port mcp

MCP client configuration:

"mcpServers": { "modelhub-port": { "command": "npx", "args": ["-y", "@reneturcios/modelhub-port", "mcp"], "env": { "HF_TOKEN": "your-token-if-you-have-one" } } } }

The env block is optional — leave it out entirely to run keyless.

Tools

Tool	Input	What it returns
`hf_whoami`	_(none)_	The account the configured `HF_TOKEN` belongs to. Errors naming `HF_TOKEN` when no token is set.
`hub_repo_details`	`repo_id` (string, required), `repo_type` (string, optional), `revision` (string, optional)	Author, downloads, likes, dates, tags, and file names for one model, dataset, or space.
`hub_repo_search`	`search`, `repo_type`, `author`, `sort`, `limit`, `direction` (all optional)	A ranked list of matching repositories of the chosen kind.
`paper_search`	`query` (string, required), `limit` (number, optional)	Papers matching the query, with authors, dates, and summaries.
`hf_doc_search`	`query` (string, required), `limit` (number, optional)	Matching pages from the Hugging Face documentation.
`hf_doc_fetch`	`url` (string, required)	The text of one `huggingface.co/docs` page, with markup stripped.
`list_repo_files`	`repo_id` (string, required), `repo_type`, `revision`, `path` (optional)	The file tree of a repository at a revision, defaulting to `main`.

Hosted-only surfaces are out of scope for this rebuild: invoking Gradio spaces as tools, running jobs, managing buckets or collections, and upload/write operations are not included.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network (fake fetch fixtures) npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

Modelhub Port

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

modelhub-port

Install

CLI

Repository details and file listings

Search models (default), datasets, or spaces

Papers and documentation

MCP server

Tools

Development

License