About Content Classifier
Classify text or JSON input into structured categories using Claude AI — with no setup, no API keys, and no credentials required. Connect directly and start classifying immediately.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://web-production-2d1051.up.railway.app/sseclaude mcp add --transport http project_classifier https://web-production-2d1051.up.railway.app/sse{"mcpServers":{"project_classifier":{"type":"http","url":"https://web-production-2d1051.up.railway.app/sse"}}}Open in Cursor{"servers":{"project_classifier":{"type":"http","url":"https://web-production-2d1051.up.railway.app/sse"}}}Open in VS Code{"mcpServers":{"project_classifier":{"type":"http","url":"https://web-production-2d1051.up.railway.app/sse"}}}{"mcpServers":{"project_classifier":{"serverUrl":"https://web-production-2d1051.up.railway.app/sse"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
2| Parameter | Type | Required | Description |
|---|---|---|---|
| input | string | Yes | Text or JSON string to classify. Max 32KB. |
| input_type | enum | No | Whether the input is plain text or a JSON string. Use 'json' to have the string parsed before classification.text | json |
| preset | enum | No | Built-in label taxonomy. sentiment: positive/neutral/negative. topic: technology/finance/health/legal/science/sports/other. intent: question/request/complaint/feedback/informational. urgency: critical/high/medium/low. custom: use your own labels via the taxonomy parameter.sentiment | topic | intent | urgency | custom |
| taxonomy | any | No | Custom label list (2–20 strings). Required when preset=custom. Ignored for all other presets. |
| multi_label | boolean | No | When true, the labels array contains all taxonomy labels ranked by confidence. When false, only the top label is populated. |
| explain | boolean | No | When true, include a one-sentence plain-English reasoning string in the response. |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.