About AgentSafe — URL Trust Scoring for AI Agents
Real-time URL trust scoring for AI agents. Blocks phishing, scam sites, and malicious redirects before your agent interacts with them. 6 security engines including Google Web Risk, VirusTotal, PhishTank, URLhaus, WHOIS domain age, and live SSL — plus Claude AI reasoning.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y agentsafe-mcp-serverAGENTSAFE_API_KEYSecretYour AgentSafe API key from agentsafe.appLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
3Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| url | string | Yes | The URL to evaluate |
| action | enum | No | The action the agent wants to takebrowse | login | make_payment | submit_sensitive_data |
| data_sensitivity | enum | No | Sensitivity of data involvedlow | medium | high |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.