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MCP server · Security

URL Safety Validator

AI URL safety validator: SAFE/SUSPICIOUS/DANGEROUS verdict, trust score, threat intel.

Unclaimed security
37Low

Scored 4 months ago · breakdown

About URL Safety Validator

URL Safety Validator is an MCP server in the Security category: aI URL safety validator: SAFE/SUSPICIOUS/DANGEROUS verdict, trust score, threat intel. It has been installed 0 times through Conduid.

Install

Claude Code
claude mcp add url-safety-validator -- npx -y url-safety-validator-mcp
npx
npx -y url-safety-validator-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

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URL Safety Validator MCP

Stop your agent from fetching a dangerous URL before it's too late.

Agents that process emails, scrape pages, or consume API responses encounter URLs from untrusted sources constantly. This server gives your agent a single call to gate every URL before it proceeds — returning a SAFE/SUSPICIOUS/DANGEROUS verdict backed by Google Web Risk, URLhaus, PhishTank, and AI analysis.


What It Does

One tool: check_url. One call returns:

  • Verdict: SAFE / SUSPICIOUS / DANGEROUS
  • AI trust score: 0–100 (0 = definitely dangerous, 100 = definitely safe)
  • Threat categories: phishing, malware, unwanted_software, typosquatting, newly_registered, suspicious_redirect, brand_impersonation
  • SSL status: valid or not
  • Domain age: registration date and age in days
  • Redirect chain flag: detected from URL parameters
  • Database signals: raw results from Google Web Risk, URLhaus, PhishTank
  • AI reasoning: 2–3 sentence plain-English explanation
  • AI confidence: HIGH / MEDIUM / LOW

AI-powered analysis — NOT a simple database lookup.


When to Call This Tool

Call check_url BEFORE your agent:

  • Fetches content from a URL found in an email
  • Visits a link extracted from a scraped page or document
  • Passes a URL to a browser tool or web scraper
  • Stores or forwards a URL from any untrusted source
  • Approves any outbound link in a content pipeline

If the verdict is DANGEROUS — halt. If SUSPICIOUS — flag for review. If SAFE — proceed.


Data Sources

Source Type Coverage
Google Web Risk Commercial API Malware, phishing, unwanted software
URLhaus (abuse.ch) Free Active malware distribution URLs
PhishTank Free Community-verified phishing URLs
RDAP Free Domain registration date
Anthropic Claude AI Trust scoring and reasoning synthesis

Pricing

Tier Calls Price
Free 10/month No API key needed
Starter 500-call bundle $20
Pro 2,000-call bundle $70

Remote Usage (No Install)

https://url-safety-validator-mcp-production.up.railway.app

Add x-api-key: YOUR_KEY header for Pro/Enterprise tiers. Leave blank for free tier.


Local Install (stdio)

npm install -g url-safety-validator-mcp
{
  "mcpServers": {
    "url-safety-validator": {
      "command": "url-safety-validator-mcp",
      "env": {
        "ANTHROPIC_API_KEY": "your-key",
        "GOOGLE_WEB_RISK_API_KEY": "your-key"
      }
    }
  }
}

Harness Integration

Claude Code / Claude Desktop (.mcp.json)

{
  "mcpServers": {
    "url-safety-validator": {
      "type": "http",
      "url": "https://url-safety-validator-mcp-production.up.railway.app"
    }
  }
}

LangChain (Python)

from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
    "url-safety-validator": {
        "url": "https://url-safety-validator-mcp-production.up.railway.app",
        "transport": "http"
    }
})
tools = await client.get_tools()

OpenAI Agents SDK (Python)

from agents import Agent, HostedMCPTool
agent = Agent(
    name="Assistant",
    tools=[HostedMCPTool(tool_config={
        "type": "mcp",
        "server_label": "url-safety-validator",
        "server_url": "https://url-safety-validator-mcp-production.up.railway.app",
        "require_approval": "never"
    })]
)

LangGraph

Same as LangChain above — langchain-mcp-adapters works with LangGraph natively.


Example Response

{
  "url": "https://suspicious-domain.xyz/login",
  "hostname": "suspicious-domain.xyz",
  "verdict": "DANGEROUS",
  "trust_score": 4,
  "ssl_valid": true,
  "domain_age_days": 12,
  "redirect_chain_detected": false,
  "threat_categories": ["phishing", "newly_registered"],
  "reasoning": "Domain registered 12 days ago and confirmed in PhishTank as an active phishing site impersonating a financial institution. Google Web Risk flags this as SOCIAL_ENGINEERING.",
  "ai_confidence": "HIGH",
  "analysis_type": "AI-powered -- NOT a simple database lookup"
}

Legal

Results are for informational purposes only. Verdict is a risk signal — not a guarantee of safety or danger. We do not log or store your query content. Full terms: kordagencies.com/terms.html

Provider: Kord Agencies Pte Ltd, Singapore.

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About URL Safety Validator

How do I install URL Safety Validator?

Run claude mcp add url-safety-validator -- npx -y url-safety-validator-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is URL Safety Validator safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is URL Safety Validator still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.