Server data from the Official MCP Registry
Rewrite AI-styled text into natural writing with a fine-tune model.
About
Rewrite AI-styled text into natural writing with a fine-tune model.
Security Report
Valid MCP server (4 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
5 files analyzed · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: OPEN_HUMANIZER_URL
Environment variable: OPEN_HUMANIZER_API_KEY
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-gohumanize-ai-gohumanize-open-humanizer-mcp": {
"env": {
"OPEN_HUMANIZER_URL": "your-open-humanizer-url-here",
"OPEN_HUMANIZER_API_KEY": "your-open-humanizer-api-key-here"
},
"args": [
"-y",
"gohumanize-open-humanizer-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
GoHumanize Open Humanizer MCP server
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_textrewrite a passage (50 to 400 words works best; longer texts are processed paragraph by paragraph, up to 1,500 words).about_open_humanizerwhat 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.
Links
| Resource | Link |
|---|---|
| Project page and browser demo | gohumanize.ai/open-model |
| GoHumanize (the product this research comes from) | gohumanize.ai |
| Model weights and GGUF builds | gohumanize/gohumanize-open-humanizer |
| Dataset, 2,883 pairs (CC-BY 4.0) | gohumanize/gohumanize-open-humanizer-dataset |
| Dataset on Kaggle | gohumanize/gohumanize-open-humanizer-dataset |
| Code and full pipeline | GoHumanize-ai/gohumanize-open-humanizer |
| Write-up: every step, service and result | docs/paper.md |
| Archived release, citable DOI | 10.5281/zenodo.22843083 |
| Python client and CLI | pypi.org/project/gohumanize-open-humanizer |
| MCP server for AI assistants | npm · source |
| Training runs, loss curves and config | Weights & Biases |
Use
{
"mcpServers": {
"gohumanize-open-humanizer": {
"command": "npx",
"args": ["-y", "gohumanize-open-humanizer-mcp"]
}
}
}
Which endpoint
The model runs wherever you point the server. Running it yourself needs no key and is the recommended setup:
ollama pull hf.co/gohumanize/gohumanize-open-humanizer:Q4_K_M
export OPEN_HUMANIZER_URL=http://localhost:11434/v1
export OPEN_HUMANIZER_MODEL=hf.co/gohumanize/gohumanize-open-humanizer:Q4_K_M
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.
Any OpenAI-compatible server works:
"env": {
"OPEN_HUMANIZER_URL": "http://localhost:11434/v1",
"OPEN_HUMANIZER_MODEL": "gohumanize/open-humanizer"
}
OPEN_HUMANIZER_API_KEY sets a bearer token when the endpoint needs one.
Licence
Apache-2.0.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Rea
Freeby Morluto · Developer Tools
Reverse engineer anything from your terminal or agent with one CLI and MCP server.
Paperclip
Freeby Paperclipai · Developer Tools
Trending hip-hop artist momentum scores across four cultural dimensions.
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
