Skillhub MCP

Name: Skillhub MCP
Author: 214140846

by 214140846version 1.0.5i★ –iRuns on your computer

Registry nameio.github.214140846/skillhub-mcp

Install

Overview

Description from the maker (original English)

MCP server that exposes Claude-style skills to any MCP client.

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
UsageiVery new↓ 23/wk · ★ –

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: Other

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

PyPIPython’s uv installed (for the uvx 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": {
    "skillhub": {
      "command": "uvx",
      "args": [
        "skillhub-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add skillhub -- uvx skillhub-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "skillhub": {
      "command": "uvx",
      "args": [
        "skillhub-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": {
    "skillhub": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "skillhub-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 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account 214140846, 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 Otheri

More stars than 0% of the other 18694 servers in this category
Published to the registry more recently than 1% of the other 18694 servers in this category
Basic checks equal to or better than 100% of the other 18694 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 Skillhub MCP 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 (1.0.5) reached the registry 10 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Toggl 2.0

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Spec Driven Development

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Install

Remote Desktop Commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 4 days ago

Runs in the cloud✓ desktopcommander.app

Install

Toggl 2.0

Toggl 2.0 MCP server for tasks, projects, time entries, and workspace operations.

by togglWidely used↓ 24.3K/wkUpdated today

Computer or cloud

Install

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.

Skillhub MCP

Is this an MCP server or an MCP client?

This project is an MCP server.

Skillhub MCP (this repo): runs as a server process and exposes tools/resources to clients.
MCP clients: editors/agents like Cursor, Claude Code, Codex, etc. They start or connect to MCP servers.

What You Get

Cross-client reuse: install once, use from any MCP client
Flexible packaging: nested directories, .zip and .skill archives
Skill resources: expose scripts/datasets/examples as MCP resources (files the client can read)
Resource fallback: a fetch_resource tool for clients without native MCP resource support
Multiple transports: stdio (default), http, sse

Quick Start

Default skills root: ~/.skillhub-mcp

uvx (recommended)

"skillhub-mcp": { "command": "uvx", "args": ["skillhub-mcp@latest"] } }

Use a custom skills root:

"skillhub-mcp": { "command": "uvx", "args": ["skillhub-mcp@latest", "/path/to/skills"] } }

Install in Popular Editors (MCP Clients)

Below are minimal working examples for mainstream “vibe coding” editors.

Cursor

Cursor supports configuring MCP servers via mcp.json. Add the following to your global ~/.cursor/mcp.json or project .cursor/mcp.json, then restart Cursor.

"mcpServers": { "skillhub-mcp": { "type": "stdio", "command": "uvx", "args": ["skillhub-mcp@latest", "/path/to/skills"] } } }

Claude Code

Option A: configure via Claude Code CLI (recommended for quick setup):

claude mcp add --transport stdio skillhub-mcp -- uvx skillhub-mcp@latest /path/to/skills

Option B: project-scoped configuration via .mcp.json at your project root. You may need to explicitly allow project MCP servers in .claude/settings.json.

./.mcp.json

"mcpServers": { "skillhub-mcp": { "type": "stdio", "command": "uvx", "args": ["skillhub-mcp@latest", "/path/to/skills"] } } }

./.claude/settings.json (approve only this server)

"enabledMcpjsonServers": ["skillhub-mcp"] }

Codex (OpenAI)

Option A: use the Codex CLI to add a stdio MCP server:

codex mcp add skillhub-mcp -- uvx skillhub-mcp@latest /path/to/skills

Option B: edit ~/.codex/config.toml:

[mcp_servers.skillhub-mcp]

command = "uvx" args = ["skillhub-mcp@latest", "/path/to/skills"]

Skill Format

Skillhub MCP discovers skills under the root directory (default ~/.skillhub-mcp). Each skill can be:

a directory containing SKILL.md
a .zip or .skill archive containing SKILL.md (at the archive root or inside a single top-level folder)

All other files become downloadable MCP resources for your agent to read. Note: Skillhub MCP does not execute scripts; the client decides whether/how to run them.

Example layout:

~/.skillhub-mcp/

├── summarize-docs/ │ ├── SKILL.md │ ├── summarize.py │ └── prompts/example.txt ├── translate.zip ├── analyzer.skill └── web-search/ └── SKILL.md

Archive rules:

translate.zip

├── SKILL.md └── helpers/ └── translate.js

data-cleaner.zip

└── data-cleaner/ ├── SKILL.md └── clean.py

Directory Structure: Skillhub MCP vs Claude Code

Claude Code expects a flat skills directory (each immediate subdirectory is one skill). Skillhub MCP is more permissive:

nested directories are discovered
.zip / .skill packaged skills are supported

If you need Claude Code compatibility, keep the flat layout.

CLI Reference

skillhub-mcp [skills_root] [options]

Flag / Option	Description
positional `skills_root`	Optional skills directory (defaults to `~/.skillhub-mcp`).
`--transport {stdio,http,sse}`	Transport (default `stdio`).
`--host HOST`	Bind address for HTTP/SSE transports.
`--port PORT`	Port for HTTP/SSE transports.
`--path PATH`	URL path for HTTP transport.
`--list-skills`	List discovered skills and exit.
`--verbose`	Emit debug logging.
`--log`	Mirror verbose logs to `/tmp/skillhub-mcp.log`.

Safety Notes

Skills are not "just prompts": they can include scripts and arbitrary files.
Skillhub MCP does not run scripts, but your client might. Prefer running in a sandbox/container.

Language

English: README.md
中文: README.zh-CN.md

About the Author

I focus on AI SaaS going global, covering the full journey from idea validation and vibe coding to product development, infrastructure, SEO, backlinks, and growth experiments.

Everything shared here comes from real projects, real traffic, and real revenue attempts.

Feishu Knowledge Base:

Thor’s AI Going-Global Content Planning

A structured knowledge base documenting hands-on experience in AI product overseas expansion, including demand discovery, execution strategies, and common pitfalls.

Blog:

Thor-AI Blog

Long-form notes and case studies on building, launching, and iterating AI products in public.

Open-source Project (High Star):

Smart Campus System

GitHub: https://github.com/214140846/TOGO_School_Miniprograme
Gitee: https://gitee.com/zengyunengineer/TOGO_School_Miniprograme
Social:

Jike

Sharing real-time thoughts on indie hacking, AI tools, and product growth.

Product:
AI Video Generation Platform:

Sora 2 Sora 2 ai

An online platform for AI-powered video generation, focused on practical use cases and real user workflows.

AI Video & Image Generation:

AI Video & Image Collection

Model pages:

A curated collection of AI video and image generation tools, experiments, and capability tracking.

AI Video & Image Collection:

https://www.notion.so/2e7600937cb3808c818efe79141f7ee6

Skillhub MCP

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 Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Toggl 2.0

README from the maker

Skillhub MCP

Links

Is this an MCP server or an MCP client?

What You Get

Quick Start

uvx (recommended)

Install in Popular Editors (MCP Clients)

Cursor

Claude Code

Codex (OpenAI)

Skill Format

Directory Structure: Skillhub MCP vs Claude Code

CLI Reference

Safety Notes

Language

About the Author