mcpbeat

Humanizer MCP Server

io.github.GPTHuman-ai/humanizer
answering

Humanizer is answering right now. Last checked 2 min ago. 43 installs a week from npm. It exposes 1 tools. Last commit 26 Jun 2026.

Transform AI-generated text into natural, human-sounding content that bypasses AI detectors.

Installs per day peak 28 · avg 8 · -30% w/w
a month agotoday
Uptime history 44 hours of history
44 hours agonow
100.0%
Uptime 24h
92 of 92 checks
1
Tools
read from the server
623 ms
Response time
average over 24h
43
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 2 min ago.

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

Available tools 1

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

humanize
humanize_text
Transforms AI-generated text into a more natural, human-sounding variant while preserving the requested tone and rewrite mode. Input must be at least 300 characters and must not exceed 2,000 words.

Endpoints

URLTransportStateLatencyChecked
https://api.gpthuman.ai/mcp streamable-http answering 470 ms 2 min ago

Humanizer — questions

Answers built from our own checks of this server.

What can Humanizer do?
It exposes 1 tools, read directly from the server on our last check. Among them: humanize_text. 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 Humanizer working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 92 of 92 checks got a reply (100.0%), average response time 623 ms. The bar chart above shows every period we have measured.
How do I connect Humanizer?
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.
Does Humanizer need an API key?
No. Humanizer completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Humanizer?
It answers our handshake in 623 ms on average, which is faster than 15% 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 Humanizer?
The npm package @gpthuman/mcp-server was installed 43 times in the last week. Week over week that is -30%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Humanizer open source?
Yes — it is published under the Apache-2.0 licence, written in TypeScript 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.