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Mcp Server

humantextpro/mcp-server
authSTDIOregistry active
Summary

Connects Claude to humantext.pro's AI detection and humanization API. Exposes three main operations: detect_ai scores text for AI likelihood, humanize_text transforms content with configurable tone and style parameters, and humanize_and_detect runs both in sequence to verify the output passes detection. Works in Claude Desktop, Cursor, and VS Code via npx with an API key from humantext.pro. Useful when you're generating content and need to either check if it sounds robotic or rewrite it to read more naturally. Consumes credits from your humantext.pro subscription based on word count, starting at 5,000 words monthly on the basic plan.

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humantext.pro MCP Server

AI text detection and humanization tools for Claude Code, Cursor, Windsurf, and any MCP-compatible client.

Check if text sounds AI-generated and transform it to read naturally — without leaving your editor.

Quick Start

1. Get your API key

Sign up at humantext.pro and generate an API key on your API page.

2. Add to your MCP client

Claude Code / VS Code:

Add to .claude/mcp.json in your project (or global settings):

{
  "mcpServers": {
    "humantext": {
      "command": "npx",
      "args": ["-y", "@humantext/mcp-server"],
      "env": {
        "HUMANTEXT_API_KEY": "your_api_key_here"
      }
    }
  }
}

Cursor:

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "humantext": {
      "command": "npx",
      "args": ["-y", "@humantext/mcp-server"],
      "env": {
        "HUMANTEXT_API_KEY": "your_api_key_here"
      }
    }
  }
}

Claude Desktop:

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "humantext": {
      "command": "npx",
      "args": ["-y", "@humantext/mcp-server"],
      "env": {
        "HUMANTEXT_API_KEY": "your_api_key_here"
      }
    }
  }
}

3. Use it

Ask your AI assistant:

  • "Check if this text sounds AI-generated"
  • "Humanize this paragraph to sound more natural"
  • "Humanize this text and verify the result passes AI detection"
  • "What's my humantext.pro credit balance?"

Tools

detect_ai

Analyze text for AI-generated content. Returns a score (0-100%) and verdict.

ParameterTypeRequiredDescription
textstringYesText to analyze (min 50 characters)

Example output:

AI Detection Result
━━━━━━━━━━━━━━━━━━━
Score: 87% AI
Verdict: AI Generated
Words analyzed: 156
Credits remaining: 4,844

humanize_text

Transform AI-generated text to sound natural and human-written.

ParameterTypeRequiredDescription
textstringYesText to humanize (min 50 characters)
toneenumNocasual, standard, academic, professional, marketing
styleenumNogeneral, essay, article, marketing, creative, formal, report, business, legal
levelenumNolight, balanced, aggressive (default: aggressive)

humanize_and_detect

Two-step process: humanize text, then verify the result with AI detection. Proves the output passes detection.

Same parameters as humanize_text.

Example output:

Humanized & Verified
━━━━━━━━━━━━━━━━━━━━

[humanized text here]

━━━━━━━━━━━━━━━━━━━━
Verification: 12% AI → Mostly Human
Words: 156 | Credits remaining: 4,532

check_balance

Check your account balance and plan details. No parameters required.

Pricing

The MCP server uses your humantext.pro subscription credits:

PlanPriceMonthly Credits
Basic$7.99/mo5,000 words
Pro$19.99/mo15,000 words
Ultra$39.99/mo30,000 words

Both detection and humanization consume credits based on input word count.

Environment Variables

VariableRequiredDescription
HUMANTEXT_API_KEYYesAPI key from humantext.pro/api
HUMANTEXT_BASE_URLNoCustom API URL (default: https://humantext.pro/api/v1)

Links

  • humantext.pro — AI Detector & Text Humanizer
  • API Documentation — Interactive Swagger UI
  • Get API Key — Sign up and generate your key
  • Pricing — Plans and credits

License

MIT

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Configuration

HUMANTEXT_API_KEY*secret

API key from humantext.pro/api

Registryactive
Package@humantext/mcp-server
TransportSTDIO
AuthRequired
UpdatedMar 11, 2026
View on GitHub