Model Context Protocol Integration

Domain Categorization via MCP

Integrate our powerful domain categorization directly into AI models using the Model Context Protocol. Enable Claude, GPT, and other AI assistants to categorize websites, detect content types, and ensure brand safety in real-time conversations.

// MCP Tool Definition
{
  "name": "categorize_domain",
  "description": "Categorize a website using IAB taxonomy",
  "parameters": {
    "domain": "example.com"
  }
}

Why MCP for Domain Categorization?

Model Context Protocol enables AI models to access external tools seamlessly. Our domain categorization API integrates perfectly with MCP-enabled AI assistants.

Real-Time Classification

AI models can categorize any domain instantly during conversations without leaving the chat interface.

IAB Taxonomy Support

Full IAB v2 and v3 taxonomy support ensures industry-standard categorization for advertising and content needs.

Brand Safety

Enable AI assistants to verify website safety before recommending or processing content.

60M+ Domains

Access our comprehensive database covering 99.9% of active internet domains for accurate categorization.

10 MCP Use Cases for Domain Categorization

Discover how AI agents can leverage domain categorization through MCP to solve real-world business problems and enhance user experiences.

A content moderation AI system visualized as a vigilant digital guardian robot standing at the gates of a social media platform. The robot scans incoming URLs displayed as floating web cards, sorting them into 'safe' (green glow) and 'unsafe' (red warning) categories. Shield icons and content policy documents float around. Futuristic security checkpoint aesthetic with holographic scanning beams and real-time threat indicators. Clean blue and white color scheme with warning accents.

Content Moderation Assistant

AI chatbots can automatically categorize URLs shared by users, flagging inappropriate content and ensuring community guidelines compliance in real-time.

  • Automated URL scanning in chat
  • Adult content detection
  • Malware site identification
  • Community safety enforcement
An academic research AI assistant depicted as a scholarly robot librarian in a futuristic digital library. The robot organizes research sources displayed as floating website thumbnails into categorized bookshelves labeled by topic. Citation networks connect related sources with glowing lines. Academic environment with holographic research papers, category filters, and source credibility scores floating above each website. Warm library lighting with modern tech elements.

Research Assistant

Enable AI research assistants to categorize sources during literature reviews, ensuring users access credible, topic-relevant websites for their research.

  • Source credibility assessment
  • Topic relevance filtering
  • Academic vs commercial sorting
  • Research quality scoring
A family-friendly AI assistant shown as a protective guardian robot in a colorful, safe digital playground. The robot creates a protective bubble around child-friendly websites while gently blocking age-inappropriate content represented by grayed-out areas outside the bubble. Friendly interface showing content ratings and safety badges. Bright, welcoming children's educational environment with safety indicators and parental approval checkmarks. Soft pastel colors with protective blue shield elements.

Parental Control AI

Family-focused AI assistants can verify website appropriateness before recommending content to children, ensuring age-appropriate browsing.

  • Age-appropriate filtering
  • Educational content identification
  • Violence/mature content blocking
  • Safe search enforcement
An advertising technology AI agent depicted as a precision quality control robot in a digital advertising factory. The robot inspects ad placements on floating website mockups, verifying brand safety with green approval stamps or red rejection marks. Ad inventory flows through conveyor belts while the robot checks category compliance. Modern ad tech operations center with programmatic advertising dashboards and brand safety scorecards. Clean industrial aesthetic with advertising platform logos.

Ad Tech Verification

AI systems in advertising platforms can verify publisher categories in real-time, ensuring brand-safe ad placements and campaign compliance.

  • Publisher verification
  • Brand safety scoring
  • IAB category matching
  • Campaign compliance checks
A sales intelligence AI agent visualized as a sharp business strategist robot in a modern sales war room. The robot analyzes prospect company websites displayed on multiple screens, extracting industry categories and company profiles for lead qualification. CRM integration points show enriched lead data flowing into sales pipelines. Professional sales environment with territory maps, deal stages, and prospect scoring dashboards. Dynamic sales aesthetic with confident blue and success-green colors.

Sales Intelligence Bot

Sales AI assistants can instantly categorize prospect websites, enriching lead data with industry classification for better targeting and personalization.

  • Lead industry identification
  • Company size estimation
  • B2B vs B2C classification
  • Prospect prioritization
A cybersecurity AI analyst depicted as a cyber defense robot in a security operations center (SOC). The robot monitors domain threats displayed on a massive threat intelligence wall, categorizing URLs by risk level with color-coded threat indicators. Phishing sites and malware domains glow red while safe sites show green. Dark SOC environment with security metrics, firewall logs, and threat feeds scrolling. Matrix-style aesthetic with urgent red alerts and defensive blue shields.

Cybersecurity Analyst

Security-focused AI can categorize suspicious domains during threat analysis, identifying phishing sites, malware hosts, and risky web properties.

  • Phishing site detection
  • Malware host identification
  • Domain reputation scoring
  • Threat intelligence enrichment
A news aggregation AI agent shown as an editor-in-chief robot in a modern digital newsroom. The robot curates news articles from floating source websites, categorizing them into topic sections like Politics, Tech, Sports displayed on an editorial planning board. Credibility meters rate each source while bias indicators provide balance insights. Bustling newsroom aesthetic with real-time news feeds, breaking news alerts, and publication schedules. Journalistic black and white with accent colors for categories.

News Aggregation AI

AI news assistants can categorize source websites, enabling smart content curation based on topics, credibility, and user preferences.

  • Source categorization
  • News vs opinion classification
  • Topic clustering
  • Credibility assessment
An e-commerce scouting AI agent depicted as a savvy shopping assistant robot in a virtual marketplace. The robot navigates through floating e-commerce website storefronts, categorizing retailers by product type and comparing prices displayed on holographic comparison charts. Shopping cart icons and deal badges highlight verified merchants. Vibrant online shopping environment with product grids, retailer trust badges, and price tracking graphs. Retail-friendly aesthetic with shopping colors of orange and trustworthy blue.

E-commerce Product Scout

Shopping AI assistants can identify e-commerce sites and their categories, helping users find legitimate retailers and compare products safely.

  • Retailer identification
  • Product category detection
  • Legitimate store verification
  • Price comparison enablement
A regulatory compliance AI agent visualized as an official inspector robot in a corporate compliance department. The robot reviews websites against regulatory checklists displayed on floating compliance matrices, marking GDPR, CCPA, and industry regulation compliance status. Legal documents and certification badges organize around compliant sites. Formal corporate compliance office with regulation libraries and audit trails. Professional legal aesthetic with authoritative navy blue and compliance-green checkmarks.

Compliance Monitor

Regulatory AI assistants can categorize websites for compliance checks, ensuring business interactions align with industry regulations and policies.

  • Regulated industry detection
  • Gambling/alcohol site flagging
  • Financial services identification
  • Healthcare content detection
A customer support AI agent shown as a helpful concierge robot at a modern digital help desk. The robot assists customers by categorizing URLs they share in support tickets, routing issues to appropriate departments displayed as specialized support pods. Knowledge base articles and contextual help suggestions float around relevant categories. Welcoming customer service environment with satisfaction metrics, ticket queues, and resolution timers. Friendly support aesthetic with helpful green and trustworthy blue.

Customer Support Enhancer

Support AI can categorize URLs shared in customer conversations, providing context-aware assistance and routing issues to appropriate departments.

  • URL context understanding
  • Issue categorization
  • Department routing
  • Knowledge base matching

MCP Integration Examples

Simple integration patterns for adding domain categorization to your MCP-enabled AI applications.

MCP Tool Schema
{
  "name": "categorize_website",
  "description": "Get IAB category for a domain",
  "input_schema": {
    "type": "object",
    "properties": {
      "domain": {
        "type": "string",
        "description": "Domain to categorize"
      }
    },
    "required": ["domain"]
  }
}
API Response
{
  "domain": "techcrunch.com",
  "category": {
    "iab_v2": "Technology & Computing",
    "iab_v3": "Tech News",
    "tier1": "IAB19",
    "tier2": "IAB19-6"
  },
  "brand_safety": "safe",
  "confidence": 0.98
}
Python MCP Server Implementation
from mcp.server import Server
import requests

app = Server("domain-categorization")

@app.tool()
async def categorize_website(domain: str) -> dict:
    """Categorize a website using IAB taxonomy"""
    response = requests.get(
        f"https://api.websitecategorizationapi.com/v1/categorize",
        params={"domain": domain},
        headers={"Authorization": f"Bearer {API_KEY}"}
    )
    return response.json()

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