ZBS Index What actually exists in applied AI, with the source next to it

mcp server

OpenWarrant — AI Text Detection

Probability prose is AI-written, with the tells behind the score. No API key — text or URL in.

Description as published by the maintainer. Source

  • version 0.1.2
  • active

active — Registry entry last updated 2026-07-23.

What this server can do

1 function, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

detect_ai_text(url, text, filename, bytes_b64)
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.

Last successful function declaration observed on . Source: https://www.stipple.sh/mcp-aitext. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://www.stipple.sh/mcp-aitext.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.1.2 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-23 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-23 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 1 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe www.stipple.sh
mcp endpoint status ok The server listed 1 function when asked. as of probe www.stipple.sh

Where to get it

Also from sketchjar

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  2. Tools declared by the MCP server at https://www.stipple.sh/mcp-aitext — www.stipple.sh, observed , trust tier 1.