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GoHumanize Open Humanizer

Registre officiel IA et agents

Rewrite AI-styled text into natural writing with a fine-tune model.

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package gohumanize-open-humanizer-mcp
Claude Code 
claude mcp add gohumanize-open-humanizer -e 'OPEN_HUMANIZER_URL=<OPEN_HUMANIZER_URL>' -e 'OPEN_HUMANIZER_API_KEY=<your open_humanizer_api_key>' -- npx -y gohumanize-open-humanizer-mcp@0.1.12
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "gohumanize-open-humanizer": {
            "command": "npx",
            "args": [
                "-y",
                "gohumanize-open-humanizer-mcp@0.1.12"
            ],
            "env": {
                "OPEN_HUMANIZER_URL": "<OPEN_HUMANIZER_URL>",
                "OPEN_HUMANIZER_API_KEY": "<your open_humanizer_api_key>"
            }
        }
    }
}

Variables d'environnement

  • OPEN_HUMANIZER_URL OpenAI-compatible base URL serving the model (defaults to the public demo endpoint)
  • OPEN_HUMANIZER_API_KEY secret Bearer token for the endpoint, if it requires one

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. GoHumanize Open Humanizer MCP server
  2. Several rewrites, best one returned
  3. Links
  4. Use
  5. Which endpoint
  6. Licence

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_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.

ResourceLink
Project page and browser demogohumanize.ai/open-model
GoHumanize (the product this research comes from)gohumanize.ai
Model weights and GGUF buildsgohumanize/gohumanize-open-humanizer
Dataset, 2,883 pairs (CC-BY 4.0)gohumanize/gohumanize-open-humanizer-dataset
Dataset on Kagglegohumanize/gohumanize-open-humanizer-dataset
Code and full pipelineGoHumanize-ai/gohumanize-open-humanizer
Write-up: every step, service and resultdocs/paper.md
Archived release, citable DOI10.5281/zenodo.22843083
Python client and CLIpypi.org/project/gohumanize-open-humanizer
MCP server for AI assistantsnpm · source
Training runs, loss curves and configWeights & 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.

Questions fréquentes

Qu'est-ce que GoHumanize Open Humanizer ?

Rewrite AI-styled text into natural writing with a fine-tune model.

Comment installer GoHumanize Open Humanizer ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add gohumanize-open-humanizer -e 'OPEN_HUMANIZER_URL=<OPEN_HUMANIZER_URL>' -e 'OPEN_HUMANIZER_API_KEY=<your open_humanizer_api_key>' -- npx -y gohumanize-open-humanizer-mcp@0.1.12. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour GoHumanize Open Humanizer ?

Oui. Il attend OPEN_HUMANIZER_API_KEY, à renseigner dans sa configuration.

GoHumanize Open Humanizer est-il open source ?

Oui. Son code est sur GitHub sous licence Apache-2.0.

Qui maintient GoHumanize Open Humanizer ?

Il est publié par GoHumanize-ai. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.