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Humanizer MCP Server

by gpthuman-ai Your server? Claim it
answering

Humanizer is answering right now. Last checked 5 min ago. 285 installs a week from npm. It exposes 1 tools. Last commit 23 Oct 2026.

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

Installs per day peak 175 · avg 13 · +1139% w/w
a month agotoday
Uptime history 91 days of history · worst day 96%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
1
Tools
read from the server
651 ms
Response time
average over 24h
285
Installs / week
npm and PyPI

What changed 3

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 14 August 2026. No other catalogue keeps this.

23 Oct a tool changed the parameters it asks for humanize_text
14 Aug a tool changed the parameters it asks for humanize_text
14 Aug a tool changed version

Humanizer missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of 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 5 min ago.

run in your terminal
claude mcp add humanizer --transport http https://api.gpthuman.ai/mcp
Settings → Connectors → Add custom connector, then paste this address
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
{
  "servers": {
    "humanizer": {
      "type": "http",
      "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 446 ms 5 min ago

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Structa
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Organic Text Engine
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Text humanization and semantic camouflaging engine to bypass detectors.

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GhostBlock
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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 91 of 91 checks got a reply (100.0%), average response time 651 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 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 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 651 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 285 times in the last week. Week over week that is +1139%. 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?
The code is open source: it is published under the Apache-2.0 licence, written in TypeScript and 1 stars on GitHub. The licence covers the code in the repository, not the hosted service at api.gpthuman.ai, which runs on its operator's own terms.