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Humanizer MCP Server

by gpthuman-ai Your server? Claim it
answering

Humanizer is answering right now. Last checked 9 min ago. 51 installs a week from npm. It exposes 1 tools. Last commit 8 Sep 2026.

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

Installs per day peak 17 · avg 8 · +107% w/w
a month agotoday
Uptime history 47 days of history · worst day 98%
47 days agonow
100.0%
Uptime 24h
91 of 91 checks
1
Tools
read from the server
675 ms
Response time
average over 24h
51
Installs / week
npm and PyPI

What changed 2

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

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

Humanizer missed 3 checks 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 9 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"
    }
  }
}

This one needs environment variables set before it will start: GPTHUMAN_API_KEY (Your GPTHuman API key). The author declared them in the registry entry; get the values from the project itself.

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 585 ms 9 min ago

Alternatives to Humanizer

same job, measured the same way
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Structa
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answering
Organic Text Engine
by evozim

Text humanization and semantic camouflaging engine to bypass detectors.

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QueryWeaver
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An MCP server for Text2SQL: transforms natural language into SQL using graph schema understanding.

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GhostBlock
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AI writing style detector scoring original versus generated text.

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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 675 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 675 ms on average, which is faster than 18% 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 51 times in the last week. Week over week that is +107%. 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.