Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Paste a draft and see the habits that make writing read like it came from an AI model.
Remote server: your requests and data go to aitext.openkrill.app. Claude Code: claude mcp add --transport http ai-text-check https://aitext.openkrill.app/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
check_ai_writing — Flags writing habits. It cannot say who wrote the text. Best for: "which parts of this email sound like AI?", "find the filler in my draft" submit_feedback — Send feedback, a bug report or a tool request to the maintainers of the tools on this server: a missing tool, missing or stale data, or a toget_feedback_reply — Read the maintainers' reply to feedback you sent with submit_feedback, given its ticket id. Returns status pending until a reply is ready, tindex_tools — Search the tools on this server by task or keyword in plain words. Returns the matching tools, best match first, each with its name, title, Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.