mcpbeat

Text Classifier API MCP Server

io.github.Br0ski777/text-classifier
answering

Text Classifier API is answering right now. Last checked 15 min ago. It exposes 1 tools. Last commit 19 Jul 2026.

Classify text into categories with confidence, readability, content type. x402.

Uptime history 42 hours of history · worst hour 75%
42 hours agonow
98.9%
Uptime 24h
90 of 91 checks
1
Tools
read from the server
33 ms
Response time
average over 24h
0
Stars
last commit 19 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add text-classifier --transport http https://text-classifier.api.klymax402.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "text-classifier": {
      "url": "https://text-classifier.api.klymax402.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.text-classifier]
url = "https://text-classifier.api.klymax402.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "text-classifier": {
      "url": "https://text-classifier.api.klymax402.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "text-classifier": {
      "url": "https://text-classifier.api.klymax402.com/mcp"
    }
  }
}

Available tools 1

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

text
text_classify_content
Use 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.

Endpoints

URLTransportStateLatencyChecked
https://text-classifier.api.klymax402.com/mcp sse answering 13 ms 15 min ago

Text Classifier API — questions

Answers built from our own checks of this server.

What can Text Classifier API do?
It exposes 1 tools, read directly from the server on our last check. Among them: text_classify_content. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Text Classifier API working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 91 checks got a reply (98.9%), average response time 33 ms. The bar chart above shows every period we have measured.
How do I connect Text Classifier API?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Text Classifier API need an API key?
No. Text Classifier API completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Text Classifier API?
It answers our handshake in 33 ms on average, which is faster than 99% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Text Classifier API open source?
Yes — it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.