Classify text into categories with confidence scores and extract readability metrics and content type. For developers building content moderation, routing, or analysis features.
io.github.Br0ski777/text-classifier
https://text-classifier-x402-production.up.railway.app/mcp
SSE
No auth required
How models use it and what it is built for.
Classify text into categories with confidence scores and extract readability metrics and content type. For developers building content moderation, routing, or analysis features.
Hosted endpoint — paste into any MCP client.
Where to find authoritative docs and source for Text Classifier API.
Paste any of these into Agent Studio after connecting Text Classifier API.
Common questions about connecting and running Text Classifier API.
What categories can this text classifier recognize?
The registry indicates the server classifies text into categories and returns confidence scores, but specific category names aren't documented in the available metadata. Check the hosted endpoint documentation or connect to the server to discover supported categories.
How do I connect to this MCP server?
The server uses SSE (Server-Sent Events) transport and is hosted at https://text-classifier-x402-production.up.railway.app/mcp. Configure your MCP client to connect to this endpoint.
What readability metrics does it provide?
The server returns readability scores alongside classification, but the specific metrics (e.g., Flesch-Kincaid grade level, reading time) aren't detailed in the registry. Test with sample text to see the exact output format.
Is there authentication required?
The registry metadata doesn't specify authentication requirements or API keys. The hosted endpoint may be publicly accessible, but verify connectivity and any rate limits before production use.
What's the difference between confidence scores and content type detection?
Confidence scores measure how certain the classifier is about each category assignment, while content type detection identifies the format or nature of the text (e.g., article, review, social media). Both are returned in a single classification call.
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