URL intelligence for AI agents. One URL in, structured security and data quality signals out.
{
"mcpServers": {
"io-github-123ergo-unphurl": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
URL intelligence for AI agents. One URL in, structured security and data quality signals out.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
License not specified.
Is it maintained?
Last commit 3 days ago.
Will it work with my client?
Transport: . Compatibility not confirmed.
_ _ _ _ ____ _ _ _ _ ____ _
| | | | \ | | _ \| | | | | | | _ \| |
| | | | \| | |_) | |_| | | | | |_) | |
| |_| | |\ | __/| _ | |_| | _ <| |___
\___/|_| \_|_| |_| |_|\___/|_| \_\_____|
URL intelligence for AI tools. 13 MCP tools. 23 signals. 7 dimensions.
Give your AI agent eyes for URLs. Unphurl analyses any URL across 7 dimensions (redirect behaviour, brand impersonation, domain age, SSL/TLS, parked detection, URL structure, DNS enrichment) and returns structured signals with a configurable 0-100 risk score. Signals, not verdicts. Your agent decides what to do with them.
Works with Claude Code, Claude Desktop, Claude Cowork, ChatGPT desktop, Cursor, Windsurf, and any MCP-compatible tool.
Every new account gets 20 free pipeline check credits. Most lookups are free. Known domains (Tranco Top 100K) and previously analysed domains return cached results at no cost. You only pay when an unknown domain runs through the full pipeline.
| Package | Credits | Price | Per check |
|---|---|---|---|
| Starter | 100 | $9 | $0.090 |
| Standard | 500 | $39 | $0.078 |
| Pro | 2,000 | $99 | $0.050 |
| Scale | 10,000 | $399 | $0.040 |
One-time purchases, no subscriptions. In typical use, 95-99% of URLs resolve free.
Add to your .mcp.json (Claude Code, Claude Desktop, Claude Cowork, ChatGPT desktop, Cursor, Windsurf, or any MCP-compatible tool):
{
"mcpServers": {
"unphurl": {
"command": "npx",
"args": ["-y", "@unphurl/mcp-server"],
"env": {
"UNPHURL_API_KEY": "uph_your_key_here"
}
}
}
}
The AI can create one for you. Just ask: "Sign up for Unphurl." The signup tool works without an API key. After signup, add the key to your MCP configuration and restart.
Just talk to your AI:
"Check https://suspicious-domain.xyz"
"Batch check all URLs in this spreadsheet"
"Create a scoring profile called 'lead-qual' that weights parked domains at 30 and no MX record at 20"
"Check my credit balance"
No commands to memorize. No syntax to learn. Your AI handles the tool calls.
Every check returns signals across 7 dimensions:
| Dimension | What it tells you |
|---|---|
| Redirect behaviour | Full chain (up to 10 hops), shortener detection, stopped reasons |
| Brand impersonation | Levenshtein + homoglyph analysis against 150+ brands |
| Domain intelligence | Age, registrar, expiration, status codes, nameservers (via RDAP) |
| SSL/TLS | Real handshake validation from Cloudflare's edge |
| Parked detection | 4-layer check: registrar pages, for-sale, empty content, parking services |
| URL structure | Length, path depth, subdomain count, entropy, IP detection, encoded chars |
| DNS enrichment | MX record existence (can the domain receive email?) |
Every signal is business intelligence. Domain age tells you how established a company is. No MX record means they can't receive email. Expiring domains mean a business might be shutting down. Combined with your AI's ability to process in bulk and output to spreadsheets, it becomes a lightweight due diligence engine.
| Tool | What it does | Auth |
|---|---|---|
signup | Create a new account, get an API key | No |
resend_verification | Resend verification email (3/hour limit) | Yes |
check_url | Check a single URL across all 7 dimensions | Yes |
check_urls | Batch check up to 500 URLs (handles async polling automatically) | Yes |
list_profiles | List your custom scoring profiles | Yes |
create_profile | Create or update a scoring profile with custom weights | Yes |
delete_profile | Delete a scoring profile | Yes |
show_defaults | Show all 23 scoring signals with default weights | No |
get_balance | Check your pipeline |
No automated test available for this server. Check the GitHub README for setup instructions.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
Add informationNo known vulnerabilities.
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Dynamic problem-solving through sequential thought chains
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
The official Python SDK for Model Context Protocol servers and clients
An open-source AI agent that brings the power of Gemini directly into your terminal.
MCP Security Weekly
Get CVE alerts and security updates for io.github.123Ergo/unphurl and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.