URL Safety Validator MCP

Official registry Security

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

What can you do with URL Safety Validator MCP?

  • 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 and Google Safe Browsing
  • AI reasoning: 2–3 sentence plain-English explanation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http url-safety-validator-mcp 'https://url-safety-validator-mcp-production.up.railway.app'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "url-safety-validator-mcp": {
            "type": "http",
            "url": "https://url-safety-validator-mcp-production.up.railway.app"
        }
    }
}
NPM package url-safety-validator-mcp
Claude Code
claude mcp add url-safety-validator-mcp -e 'ANTHROPIC_API_KEY=<your anthropic_api_key>' -e 'GOOGLE_WEB_RISK_API_KEY=<your google_web_risk_api_key>' -e 'GOOGLE_SAFE_BROWSING_API_KEY=<your google_safe_browsing_api_key>' -- npx -y url-safety-validator-mcp@1.2.27
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "url-safety-validator-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "url-safety-validator-mcp@1.2.27"
            ],
            "env": {
                "ANTHROPIC_API_KEY": "<your anthropic_api_key>",
                "GOOGLE_WEB_RISK_API_KEY": "<your google_web_risk_api_key>",
                "GOOGLE_SAFE_BROWSING_API_KEY": "<your google_safe_browsing_api_key>"
            }
        }
    }
}

Environment variables

  • ANTHROPIC_API_KEY required secret Anthropic API key for AI trust scoring
  • GOOGLE_WEB_RISK_API_KEY secret Google Web Risk API key (commercial). Degrades gracefully without it.
  • GOOGLE_SAFE_BROWSING_API_KEY secret Google Safe Browsing API key (free tier available).

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. URL Safety Validator MCP
  2. What It Does
  3. When to Call This Tool
  4. Data Sources
  5. Pricing
  6. Remote Usage (No Install)
  7. Local Install (stdio)
  8. Harness Integration
  9. Example Response
  10. Legal

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, Google Safe Browsing, 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 and Google Safe Browsing
  • 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

SourceTypeCoverage
Google Web RiskCommercial APIMalware, phishing, unwanted software
Google Safe BrowsingFreeMalware, phishing, unwanted software (fallback when Web Risk key absent)
RDAPFreeDomain registration date
Anthropic ClaudeAITrust scoring and reasoning synthesis

Pricing

TierCallsPrice
Free10/monthNo API key needed
Starter500-call bundle$20
Pro2,000-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 impersonates a financial institution's login page. Google Web Risk flags this as SOCIAL_ENGINEERING.",
  "ai_confidence": "HIGH",
  "analysis_type": "AI-powered -- NOT a simple database lookup"
}

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.

Frequently asked questions

What is URL Safety Validator MCP?

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

How do I install URL Safety Validator MCP?

It runs as a remote server. In Claude Code: claude mcp add --transport http url-safety-validator-mcp 'https://url-safety-validator-mcp-production.up.railway.app'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does URL Safety Validator MCP need an API key?

Yes. It expects ANTHROPIC_API_KEY, GOOGLE_WEB_RISK_API_KEY, GOOGLE_SAFE_BROWSING_API_KEY, which you set in its configuration.

Is URL Safety Validator MCP open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains URL Safety Validator MCP?

It is published by OjasKord. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.