# URL Safety Validator MCP

> Use this tool when you need to verify the safety of a website or web page, as it provides a SAFE/SUSPICIOUS/DANGEROUS verdict, trust score, and threat intelligence to help prevent malware, phishing, or other online threats. It takes a URL as input and returns a safety assessment output, enabling informed decisions about website interactions. Ideal for use cases where online security and risk assessment are crucial, such as before clicking on unknown links or downloading files.

Canonical page: https://skillsregistry.net/skills/io-github-ojaskord-url-safety-validator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-ojaskord-url-safety-validator-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-20

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.OjasKord%2Furl-safety-validator-mcp)
- **Repository:** <https://github.com/OjasKord/url-safety-validator-mcp>

## Use it

MCP endpoint published by the skill: `https://url-safety-validator-mcp-production.up.railway.app`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-ojaskord-url-safety-validator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-ojaskord-url-safety-validator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-ojaskord-url-safety-validator-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
