GoHumanize Open Humanizer

السجل الرسمي الذكاء الاصطناعي والوكلاء

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

التثبيت

أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: ‏.cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «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
إعداد JSON (Claude Desktop وCursor وVS 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>"
            }
        }
    }
}

متغيرات البيئة

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

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  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.

الأسئلة الشائعة

ما هو GoHumanize Open Humanizer؟

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

كيف أثبّت GoHumanize Open Humanizer؟

يعمل على جهازك. في 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. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.

هل يحتاج GoHumanize Open Humanizer إلى مفتاح API؟

نعم. يتطلب OPEN_HUMANIZER_API_KEY، وتضبطها في إعداداته.

هل GoHumanize Open Humanizer مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص Apache-2.0.

من يصون GoHumanize Open Humanizer؟

ينشره GoHumanize-ai. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.