Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者提供的说明(英文原文)
Document-level AI humanizer for .docx/.pptx: whole file, selected passages, or flagged text.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
HUMANPEN_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"humanpen": {
"command": "npx",
"args": [
"-y",
"humanpen-mcp"
],
"env": {
"HUMANPEN_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add humanpen --env HUMANPEN_API_KEY=your-value -- npx -y humanpen-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"humanpen": {
"command": "npx",
"args": [
"-y",
"humanpen-mcp"
],
"env": {
"HUMANPEN_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"humanpen": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"humanpen-mcp"
],
"env": {
"HUMANPEN_API_KEY": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 humanpen 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:HUMANPEN_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.4.4)于13天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
English · 简体中文 · 日本語
Website · Pricing · Developer docs
Keywords: ai humanizer, mcp server, model context protocol, turnitin ai detection, reduce ai score, humanize ai text, bypass ai detection, docx ai humanizer, ai content rewriter, ai writing tool, claude mcp, cursor mcp, ithenticate ai report
Humanize what's flagged. Preserve the rest. An MCP server for HumanPen — a document-level AI humanizer that can humanize an entire document, rewrite user-selected passages, or automatically target flagged text from a Turnitin / iThenticate AI-detection report, editing .docx / .pptx files in place while preserving formatting, tables, images, citations, and formulas. Also converts citations between 12 styles, condenses to a word budget, and translates between 12 languages.
claude mcp add humanpen -s user -e HUMANPEN_API_KEY=hp_your_key -- npx -y humanpen-mcp
* or 0%Sign up at https://humanpen.net and create a key at https://humanpen.net/settings/api-keys. New accounts start with free credits, enough to put a document through and see what comes back.
The key goes in an environment variable, never in a URL. URLs end up in server logs, proxy logs, shell history and screenshots.
Claude Code
claude mcp add humanpen -s user -e HUMANPEN_API_KEY=hp_your_key -- npx -y humanpen-mcp
-s user puts it in every project. The default scope is local, which loads the server only in the directory you ran the command from — and looks like a broken install the first time you open Claude Code somewhere else.
If your version rejects -e (reported upstream), use the JSON form:
claude mcp add-json humanpen -s user '{"command":"npx","args":["-y","humanpen-mcp"],"env":{"HUMANPEN_API_KEY":"hp_your_key"}}'
OpenAI Codex
In ~/.codex/config.toml:
[mcp_servers.humanpen]
command = "npx" args = ["-y", "humanpen-mcp"] env = { HUMANPEN_API_KEY = "hp_your_key" }
</details>
CodeBuddy / WorkBuddy
codebuddy mcp add --scope user humanpen -- npx -y humanpen-mcp
It also reads ${VAR} in its config, so the key can stay in your environment instead of the file:
{ "mcpServers": { "humanpen": {
"command": "npx", "args": ["-y", "humanpen-mcp"], "env": { "HUMANPEN_API_KEY": "${HUMANPEN_API_KEY}" } } } }
~/.codebuddy/.mcp.json for every project, /.mcp.json for one.
Gemini CLI
It has gemini mcp add, but the argument order differs between versions — run gemini mcp add --help and follow the usage line it prints. Pass the key with -e HUMANPEN_API_KEY=... and the scope with -s user; the default is project, which is only the directory you ran it in.
Claude Desktop
In claude_desktop_config.json. Use the absolute path to `npx` — run which npx and paste the result: a desktop app is launched by the OS with a minimal PATH, so the bare name that works in your terminal often is not found here, and the only symptom is that the tools never appear.
{
"mcpServers": { "humanpen": { "command": "npx", "args": ["-y", "humanpen-mcp"], "env": { "HUMANPEN_API_KEY": "hp_your_key" } } } }
</details>
Cursor / Windsurf / Cline
All three read the same shape — Cursor in .cursor/mcp.json, Windsurf in ~/.codeium/windsurf/mcp_config.json, Cline in its MCP settings panel:
{
"mcpServers": { "humanpen": { "command": "npx", "args": ["-y", "humanpen-mcp"], "env": { "HUMANPEN_API_KEY": "hp_your_key" } } } }
</details>
OpenCode
In opencode.json — the key names differ slightly from everyone else's:
{
"mcp": { "humanpen": { "type": "local", "command": ["npx", "-y", "humanpen-mcp"], "environment": { "HUMANPEN_API_KEY": "hp_your_key" } } } }
</details>
VS Code — keeps the key out of the config file
{
"mcp": { "inputs": [ { "type": "promptString", "id": "humanpenKey", "description": "HumanPen API key", "password": true } ], "servers": { "humanpen": { "command": "npx", "args": ["-y", "humanpen-mcp"], "env": { "HUMANPEN_API_KEY": "${input:humanpenKey}" } } } } }
VS Code prompts once and stores the key in its secret store, so it never lands in a file you might commit.
From source , or before the npm release lands
git clone https://github.com/humanpen/humanpen-mcp
cd humanpen-mcp && npm install && npm run build
Then point your client at node /path/to/humanpen-mcp/dist/index.js instead of npx -y humanpen-mcp.
Any MCP client works: this is a plain stdio server started by npx -y humanpen-mcp with HUMANPEN_API_KEY in its environment.
| Tool | What it does | Credits |
|---|---|---|
humanize_document | Rewrite a .docx/.pptx to read as human-written and score lower on AI detectors. Optionally take a detection report to rewrite only its flagged passages. Length can be held to a whole-document word range, or to per-passage ranges (experimental — limiting words weakens AI-rate reduction). | yes |
free_rehumanize | Continue a finished humanize_document job for free: upload a fresh detection report for its result and only the still-flagged passages are rewritten. Once per job, with a daily cap; the report must match that result. | free |
fix_citations | Convert in-text citations and the reference list to APA 7, MLA 9, Harvard, Chicago, IEEE, Vancouver, GB/T 7714, AMA, ACS or OSCOLA. Body text untouched. | yes |
condense_document | Shorten a .docx to a target word count, keeping structure and citations. | yes |
translate_document | Translate .docx/.pdf/.pptx/.xlsx/.epub/.html/.txt between 12 languages, keeping layout. | yes |
read_detection_report | Read a Turnitin or iThenticate AI Writing report: overall AI percentage and the flagged passages. | free |
check_job | Look up a job and download its result. | free |
get_credit_balance | Credits remaining. | free |
Jobs take minutes; tool calls do not. Each operation waits about 55 seconds — enough for most documents — then returns a job_id with a note to call check_job. The work continues on the server either way; nothing is lost by the tool returning early.
`ai_percent` can be `null`, and that is usually good news. Turnitin prints * instead of a number whenever AI writing comes in under 20% — it will not quantify that band, because too much of it is false positives. So null means "under 20%, and Turnitin will say no more", never "0%" and never "no result".
Will this bring a Turnitin AI score down? Usually under 20% in one pass with balanced — the threshold below which Turnitin prints * instead of a number. If it misses, hand the result back with the new report; only the passages still flagged get rewritten.
Does it work with iThenticate too? Yes — pass either report. The format is read from the file.
Is my document sent to the model? No. It uploads the file and answers with a path. A 40-page paper costs no tokens.
Documents you pass to a tool are uploaded over HTTPS to HumanPen's API (api.humanpen.net) for processing; results are written back to your disk, and processed files are kept server-side for about 7 days so check_job and the free re-humanize pass can find them. Document contents never enter the model's context. The full policy — what is collected, retention, and how to reach us — is at https://humanpen.net/legal/privacy.
npm install
npm run build HUMANPEN_API_KEY=hp_... node selftest.mjs sample.docx report.pdf
selftest.mjs spawns the built server and talks JSON-RPC to it over stdio the way a real client does — proving the protocol, the tool registrations, stdout hygiene and one end-to-end job, not merely that the functions return. It needs a live key and spends credits, so it is a pre-release check rather than a CI step.
Apache-2.0