StealthGPT MCP Server: Humanize AI Text in Claude Code & Cursor

You already draft with AI inside your editor. The problem shows up the second that text leaves it: a changelog, a release note, a landing page, and it reads like a model wrote it, because one did. The StealthGPT MCP server closes that gap. It lets Claude Code, Cursor, or any MCP client humanize AI text the instant you generate it, so the copy you ship sounds like a person instead of a prediction engine. No second app. No paste-into-a-web-tool detour. You stay in the editor, and the writing comes out human.

Here is the short version. StealthGPT is an undetectable AI writing and humanization platform, and the MCP server exposes that engine as tools your coding agent can call directly. Every humanization run comes back with a human-likeness score, so you are not guessing whether the rewrite landed. You get a number.

Table of Contents

• What the StealthGPT MCP server does

• Why humanize inside the editor

• What the human-likeness score measures

• Setting it up in Claude Code and Cursor

• Where teams put it to work

• Pricing and getting started

What the StealthGPT MCP server does

Connect the server once and your agent gets two tools it can call mid-task. The first is a humanizer that takes existing text, AI-written or not, and rewrites it to read naturally. The second is a full Stealth Agent run that researches a topic, drafts the piece, optionally fact-checks it, and humanizes the result in a single pass. A status check handles the longer async jobs so a big run does not block your session.

It works with Claude Code, Cursor, Claude Desktop, and any other MCP-compatible client. If you are still deciding which servers belong in your setup, our roundup of the essential MCP servers for Claude Code and Cursor puts this one in context next to the code, database, and browser tools most developers run. The point of an MCP server is to remove a context switch, and a writing tool removes one of the most annoying ones: leaving your work to go clean up your own output somewhere else.

Under the hood it is the same StealthGPT AI humanizer you would use in the browser, so the behavior is identical whether you trigger it from the web app or from inside an agent. Nothing new to learn, just a new place to call it from.

Why humanize inside the editor

The usual workflow has a hole in it. You generate a draft with your agent, copy it out, open a separate humanizer or detector in the browser, paste it in, wait, copy the result back, and paste it into your doc. Five steps, three of them pure friction. Multiply that across every release note and doc update and it adds up to real time lost, which is exactly why people skip the cleanup and ship stiff copy instead.

Humanization is a workflow step, not a destination. It belongs where the writing happens. That is the whole argument for doing it over MCP rather than in a browser tab: the rewrite becomes one more thing the agent does on the way to done, not a chore you remember to do afterward.

And the cleanup matters more than it used to. Industry data on how AI-assisted content performs suggests well-edited AI-assisted writing can outperform human-only content on engagement metrics, but that edge depends on the output not reading like filler. Raw model text rarely clears that bar on its own.

What the human-likeness score measures

Detectors do not read for meaning. They read for statistics. Two of them do most of the work: perplexity, which is how predictable each next word is, and burstiness, which is how much sentence length and rhythm vary. Human writing is less predictable and more uneven. Model writing is smooth, regular, and easy to flag.

GPTZero's own explanation of how it detects AI writing describes exactly this perplexity-and-burstiness approach, and most detectors lean on some version of it. The StealthGPT human-likeness score is a read on the same signals: a high score means the text scatters the way human writing scatters, a low score means it is still too smooth.

Before (raw AI): Artificial intelligence tools provide users with the ability to generate written content in an efficient manner, thereby improving overall productivity across professional contexts.

After (humanized): AI writes the first draft fast. Your job is making it sound like you wrote it, not a press release.

A quick note on claims, because the honest version is more useful than the marketing one. Based on StealthGPT's internal testing, humanized passages reliably clear common detectors, but no tool should promise a permanent 100 percent pass rate, since detectors keep retraining. Recent research on how detectors handle humanized AI text shows this is an active back-and-forth, not a solved problem. Treat the score as a strong signal, not a guarantee, and you will use it well. For the full method behind humanization, our free guide to humanizing AI text and bypassing detectors breaks down the mechanics in plain language.

Setting it up in Claude Code and Cursor

Setup runs over a remote URL with no local config file to maintain. You authenticate one of two ways: sign in with OAuth, or supply a StealthGPT API key, whichever suits your setup. The flow is the same across clients.You can find the in depth tutorial for Claude code here and for Cursor here.

1. Grab your StealthGPT API key from stealthgpt.ai/stealthapi. Add a new remote MCP server in your client, point it at the StealthGPT MCP endpoint at stealthgpt.ai/api/mcp/mcp, and supply your API key to authenticate, or sign in through the OAuth prompt to link your StealthGPT account.

2. Confirm the humanize and Stealth Agent tools appear in your client's tool list.

3. Call it in a prompt: ask the agent to draft something, then to humanize it and report the human-likeness score.

That is the entire setup. From there it behaves like any other tool your agent already uses, which is the point.

Where teams put it to work

The server earns its place anywhere AI drafts text that real people will read.

Engineering: humanize release notes, changelogs, and docs so the developer experience does not read like autogenerated boilerplate.

Marketing and SEO: produce content meant to rank, then clean it up before it publishes, keeping the copy readable and closer to how a person actually writes.

Agencies and high-volume teams: pair the MCP server with StealthGPT's verified n8n node to humanize content in automated pipelines, not just one piece at a time.

Students and academics: a humanizing pass on study material, with the obvious caveat to follow your institution's rules on AI use.

Frequently asked questions

Does the StealthGPT MCP server work with both Claude Code and Cursor?

Yes. It runs over the standard remote MCP protocol, so any compliant client can use it. That covers Claude Code, Cursor, Claude Desktop, and other MCP-aware tools. The setup steps are the same in each: add the remote server, authenticate with your API key, and the humanize and Stealth Agent tools show up in your tool list.

Can I humanize AI text without leaving my editor?

That is the entire reason the server exists. Once it is connected, you ask your agent to humanize a passage in the same prompt flow you use for everything else. The text never leaves the editor, and you skip the copy-paste trip to a separate web tool.

What counts as a good human-likeness score?

Higher is better, and the score tracks how closely the text mirrors the statistical patterns of human writing rather than model output. Treat it as a dial, not a pass-fail stamp. If a passage comes back low, run it again or adjust the input, and watch the number move before you publish.

Is humanized content safe to publish for SEO?

A humanizing pass helps because it makes copy read like a person wrote it, which is what readers and search systems both reward. It is not a license to publish thin content at scale. Use it to polish writing that already says something worth reading, and you stay on the right side of quality guidelines.

Do I need an API key to set it up?

Not necessarily. You get two options: sign in with OAuth and approve access, with nothing to paste, or use a StealthGPT API key from stealthgpt.ai/stealthapi. OAuth is quickest for a single interactive client; an API key travels better across automated or headless setups like n8n. Either way, treat your credentials as secrets and rotate them if they leak.

Pricing and getting started

Start free, with no credit card required. Connect the server, run a few humanization passes, and watch the human-likeness score climb before you decide on a paid plan. Paid tiers add higher volume and API access for teams that want to humanize at scale rather than one draft at a time.

Ready to stop leaving your editor to fix your own copy? Connect the StealthGPT MCP server, then try the same engine on the web with StealthGPT's AI humanizer, and compare plans on the StealthGPT pricing page when you are ready to scale.

MCP turned coding agents into something that can touch your whole stack. There is no reason writing should be the one step you still do by hand in