mcpbeat

MCP Face Transform MCP Server

io.github.AceDataCloud/mcp-face-transform
answering

MCP Face Transform is answering right now. Last checked 10 min ago. 602 installs a week from pypi. Last commit 30 Jul 2026.

AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness

Installs per day peak 249 · avg 63 · +183% w/w
a month agotoday
Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
1674 ms
Response time
average over 24h
602
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add mcp-face-transform --transport http https://face.mcp.acedata.cloud/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-face-transform": {
      "url": "https://face.mcp.acedata.cloud/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp-face-transform]
url = "https://face.mcp.acedata.cloud/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp-face-transform": {
      "url": "https://face.mcp.acedata.cloud/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp-face-transform": {
      "url": "https://face.mcp.acedata.cloud/mcp"
    }
  }
}

This endpoint answered with an authorization challenge — the server is running, but you need an API key or OAuth to use it.

Endpoints

URLTransportStateLatencyChecked
https://face.mcp.acedata.cloud/mcp streamable-http needs key 1794 ms 10 min ago

MCP Face Transform — questions

Answers built from our own checks of this server.

Why is there no tool list for MCP Face Transform?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is MCP Face Transform working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1674 ms. The bar chart above shows every period we have measured.
How do I connect MCP Face Transform?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own key or an OAuth login: it refuses anonymous clients.
Does MCP Face Transform need an API key?
Yes. Every time we knock, MCP Face Transform answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.
How fast is MCP Face Transform?
It answers our handshake in 1674 ms on average, which is faster than 1% 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 MCP Face Transform?
The pypi package mcp-face-transform was installed 602 times in the last week. Week over week that is +183%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is MCP Face Transform open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.