# Text Classifier

> Use this tool when you need to categorize and analyze text data, solving problems such as sentiment analysis, content filtering, and information retrieval. It takes in text input and outputs categorized results with confidence scores, readability metrics, and content type detection. Ideal for applications requiring automated text classification, such as chatbots, sentiment analysis tools, and content management systems.

Canonical page: https://skillsregistry.net/skills/br0ski777-text-classifier  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-text-classifier

## Description

This MCP server classifies text into categories and returns confidence scores, readability metrics, and content type detection results. It is deployed as a hosted SSE endpoint on Railway with x402 micropayment billing per classification call. Source code is available at github.com/Br0ski777/text-classifier-x402.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/br0ski777-text-classifier)
- **Repository:** <https://github.com/br0ski777/text-classifier-x402>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "br0ski777-text-classifier"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-text-classifier` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-text-classifier/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt