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Skills Hub MCP Server

answering

Skills Hub is answering right now. Last checked 12 min ago. 77 installs a week from npm. It exposes 4 tools.

Search & install 13,000+ AI agent skills from skills-hub.ai inside any MCP tool.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 37 · avg 6 · +166% w/w
a month agotoday
Uptime history 91 days of history · worst day 86%
91 days agonow
93.4%
Uptime 24h
85 of 91 checks
4
Tools
read from the server
629 ms
Response time
average over 24h
77
Installs / week
npm and PyPI

Skills Hub does not always answer

Over the last week it answered 94.1% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add skills-hub --transport http https://api.skills-hub.ai/mcp
Settings → Connectors → Add custom connector, then paste this address
https://api.skills-hub.ai/mcp
~/.codex/config.toml
[mcp_servers.skills-hub]
url = "https://api.skills-hub.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "skills-hub": {
      "url": "https://api.skills-hub.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "skills-hub": {
      "type": "http",
      "url": "https://api.skills-hub.ai/mcp"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

install
install_skill
Record an installation of a skill from skills-hub.ai. If the caller belongs to an organization, the org's install policy is enforced and a blocked install returns an error explaining the policy.
installed
list_installed_skills
Browse the skills-hub.ai catalog sorted by popularity, optionally filtered by category
skill
get_skill_detail
Get full details about a skill including instructions, version, and quality scores
skills
search_skills
Search the skills-hub.ai catalog for AI coding skills. Returns matching skills with metadata.

Endpoints

URLTransportStateLatencyChecked
https://api.skills-hub.ai/mcp streamable-http answering 575 ms 12 min ago

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Skills Hub — questions

Answers built from our own checks of this server.

What can Skills Hub do?
It exposes 4 tools, read directly from the server on our last check. Among them: get_skill_detail, install_skill, list_installed_skills, search_skills. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Skills Hub working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 85 of 91 checks got a reply (93.4%), average response time 629 ms. The bar chart above shows every period we have measured.
Is Skills Hub still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect Skills Hub?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Skills Hub need an API key?
No. Skills Hub completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Skills Hub?
It answers our handshake in 629 ms on average, which is faster than 17% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Skills Hub?
The npm package @skills-hub-ai/mcp was installed 77 times in the last week. Week over week that is +166%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.