Parse URLs, shorten links, and check URL safety risks.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.CSOAI-ORG/url-ai-mcp" MCP server from askskill: Run: claude mcp add 'io-github-csoai-org-url-ai-mcp' -- npx -y url-ai-mcp
Please check whether the following URLs are safe, classify them by risk level, and explain any suspicious indicators: 1. https://example.com 2. http://unknown-site.xyz/login 3. https://brand.example/promo
A report showing each URL’s safety status, risk level, and suspicious signals.
Please parse this URL and present its scheme, domain, path, query parameters, and fragment in a table: https://shop.example.com/products/item?id=123&utm_source=ad#details
A structured breakdown of the URL components for easy understanding and follow-up use.
Please shorten the following long URL and keep the mapping between the original and shortened link: https://www.example.com/campaign/summer-sale?utm_source=newsletter&utm_medium=email&utm_campaign=summer2025
A shareable short URL plus the mapping between the original and shortened link.
Check URL safety before fetching content with clear risk verdicts and signals.
Precisely parse, analyze, and modify URLs and query parameters reliably.
Check URL safety with risk verdicts, trust scores, and threat intelligence.
Use AI to analyze data privacy risks and support compliance tasks.
Use AI to test APIs, inspect responses, and troubleshoot issues faster.
Check whether URLs are reachable with status, redirects, and latency details.