Stipple — AI Text Detection
Is this prose AI-written? A probability with the tells behind it. Free to start, no key.
我该使用它吗
质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"openwarrant-aitext": {
"url": "https://www.stipple.sh/mcp-aitext"
}
}
}远程端点
https://www.stipple.sh/mcp-aitextstreamable-http它能做什么
工具清单
工具（1）
🟢detect_ai_text(text, url, bytes_b64, filename)
Estimate the PROBABILITY that a document's text was AI-GENERATED (LLM-written prose). USE THIS WHEN someone shares prose — an essay, cover letter, article, review, application, or report (or a link to one) — and asks: did an AI / ChatGPT write this? is this human-written? detect AI text. Provide the document ONE way: `text` (pasted markdown/plain prose), `url` (a public http(s) link to a page or PDF — fetched server-side, the cheapest call), OR `bytes_b64` (a base64 PDF/file, plus `filename` for routing). Returns `{probability, lean, tells, reasoning, applicable}`. HONEST SCOPE: the probability is the model's CONFIDENCE, not a calibrated truth — it can false-flag templated/coached or non-native-English writing. It works on PROSE only: for a form/table/numeric document (payslip, statement) it returns `applicable: false` and abstains, because AI-text detection false-positives badly there — use `verify_document` (the authenticity engine) for those, and `verify_references` to check a doc's citations/claims.
输入模式
{
"type": "object",
"properties": {
"text": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Text"
},
"url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Url"
},
"bytes_b64": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Bytes B64"
},
"filename": {
"default": "document.pdf",
"title": "Filename",
"type": "string"
}
},
"title": "detect_ai_textArguments"
}输出模式
{
"type": "object",
"additionalProperties": true,
"title": "detect_ai_textDictOutput"
}社区
证据