detect
Detect whether the text is AI-generated.Show to user the task detail url. Extract the taskId field, then concatenate the link in the following format: https://pre-www.text2go.ai/?utm_source=claude_mcp&taskId={taskId}
LABSCO SUMMARY
One call answers whether a draft reads as machine-written, before anyone else reads it.
The server ships a detector and nothing else — detect is the only tool — so whatever you do about the verdict stays with you and the model you are already talking to. The result comes back as a taskId rather than as a rewritten passage, which is worth knowing if the name led you to expect the second thing.
What it is
A single-tool server: it takes a passage of text, a type and a list of detection types, runs AI-generated-text detection over it, and returns a task identifier for the result.
What you get
- A detection pass over text you supply in the call
- A detection type list, so more than one detector can be requested at once
- A taskId identifying the detection, which resolves to the detail view for that run
Requirements
npx on your PATH. No account, no key.
Setup effort
One command — npx -y ai-humanizer-mcp-server
USE CASES
01
Screening a draft before it goes out
Run the passage through detection while it is still editable. The call takes the text itself, so nothing has to be uploaded or pasted into a separate site first.
02
Checking a submission you did not write
The detection type list lets more than one detector run against the same passage in a single call, and the result comes back as a task you can refer to afterwards.
1 tool
Counted once with only startup setup. Other versions, modes or optional credentials may expose a different list.
BEFORE YOU INSTALL
What to know first
Tools you get
1 tool when we connected.
Requires
- npx on PATH
- node version >= 16
CONTEXT COST
Light Standing cost
Rated by the size of the one tool definition that rides along on every turn
INSTALLATION
Connect your client
Add the block to your client, or run the command directly.
Server setup
Configuration file
JSON
{
"mcpServers": {
"ai-humanizer-mcp-server": {
"command": "npx",
"args": [
"-y",
"ai-humanizer-mcp-server"
]
}
}
}npx
TERMINAL
npx -y ai-humanizer-mcp-server
