Rewrite AI-styled text into natural writing with a fine-tune model.
This MCP server rewrites AI-styled text into more natural writing using a fine-tune model. The server is identified by the slug io-github-gohumanize-ai-gohumanize-open-humanizer-mcp and focuses specifically on transforming text style rather than generating new content concepts.
🛠️ Key Features
Rewrites AI-styled text into natural writing
Uses a fine-tune model for rewriting
🚀 Use Cases
Improving the readability and tone of AI-written text
Converting AI-style output into more human-like wording
⚡ Developer Benefits
Provides a focused text-rewriting capability via an MCP server
Supports integration workflows that require style normalization to natural writing
⚠️ Limitations
Description does not specify supported input/output formats
No tool count, topics, or readme excerpt are provided in the available data
An MCP (Model Context Protocol) server that lets AI assistants call the
GoHumanize Open Humanizer: a small open model (Qwen3-4B fine-tune, Apache-2.0)
that rewrites AI-styled English text into more natural human prose.
Tools:
humanize_text rewrite a passage (50 to 400 words works best; longer texts
are processed paragraph by paragraph, up to 1,500 words).
about_open_humanizer what the model is and which endpoint is in use.
The model is educational and makes no claim about AI detectors. It is separate
from the production models used by GoHumanize.ai.
Several rewrites, best one returned
On modern prose the model sometimes plays safe and hands the text back almost unchanged
(about one try in six). Each call asks the endpoint for five rewrites (generated in
parallel, so the wait is the same) and keeps the one that moved furthest from the input while
staying a sensible length. Set OPEN_HUMANIZER_SAMPLES=1 for a single request.
The hosted endpoint sleeps when idle. The first request after a quiet period waits
for a GPU cold start, measured at one to two minutes; afterwards a rewrite takes a
second or two. MCP clients apply their own timeout, often 60 seconds, so the first
call through a client may fail even with a valid key and succeed on retry. Running the
model locally avoids this entirely.
The endpoint the server falls back to is the one behind the browser demo on
gohumanize.ai/open-model. It is rate-limited and
requires OPEN_HUMANIZER_API_KEY, so it is not open for general use; to try the
model without installing anything, use the demo on that page.