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Classify text into categories with confidence, readability, content type. x402.
Classify text into categories with confidence, readability, content type. x402.
Remote endpoints: sse: https://text-classifier.api.klymax402.com/mcp
Valid MCP server (1 strong, 0 medium validity signals). 5 known CVEs in dependencies Imported from the Official MCP Registry. Trust signals: trusted author (174/179 approved).
1 tool verified · Open access · 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-br0ski777-text-classifier": {
"url": "https://text-classifier.api.klymax402.com/mcp"
}
}
}From the project's GitHub README.
Classify text into categories with confidence scores, readability analysis, and content type detection. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the klymax402 marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.
Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):
{
"mcpServers": {
"text-classifier": {
"url": "https://text-classifier.api.klymax402.com/mcp"
}
}
}
curl -X POST "https://text-classifier.api.klymax402.com/api/classify" \
-H "Content-Type: application/json" \
-d '{"text":"..."}'
# -> 402 Payment Required, with an x402 payment challenge in the response body
Any x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.
| Tool | Method | Path | Price | Description |
|---|---|---|---|---|
text_classify_content | POST | /api/classify | $0.005 | Classify text content into categories with confidence scores and readability metrics |
text_classify_contentUse this when you need to categorize text into topic categories (tech, finance, health, sports, politics, entertainment, science, business). Returns top 3 categories with confidence scores, detected language, Flesch-Kincaid readability level, and content type (article/review/tutorial/news). Ideal for content organization, tagging, and routing. Do NOT use for sentiment — use text_analyze_sentiment. Do NOT use for summarization — use ai_summarize_text.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
text | string | yes | The text content to classify (min 50 characters for accurate results) |
categories | array | no | Optional custom categories to classify against. Default: tech, finance, health, sports, politics, entertainment, science, business |
eip155:8453)100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.
MIT
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