Agent Safe - 11-Tool MCP Security Suite for AI Agents (8 Paid + 3 Free) | Protect Every Message & Media
Agent Safe is a Remote MCP Server with 11 security tools (8 paid + 3 free) protecting AI agents from phishing, social engineering, prompt injection, BEC, deepfakes, AI-generated images, and manipulation across email, SMS, WhatsApp, Slack, Discord, and every messaging platform. Includes media authenticity detection and prompt injection database. $0.01 per unit via Skyfire.
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llms.txt Content
# Agent Safe - Message Security Suite for AI Agents (8 Paid Tools + 3 Free)
> MCP Server: https://agentsafe.locationledger.com/mcp
> Protocol: Streamable HTTP (MCP)
> Payment: $0.01/unit via skyfire-api-key header (Skyfire Buyer API Key) or skyfire-pay-id header (PAY token)
> No signup required — just a Skyfire Buyer API Key
## Recommended Workflow
1. ALWAYS call assess_message first (FREE) with whatever context you have
2. It returns a prioritized list of which paid tools to run
3. Call the recommended tools individually
## Tools
### assess_message (FREE)
Triage tool — send whatever context you have and get a prioritized list of which security tools to run. No AI call, no charge, instant response.
Input: All fields optional — from, subject, body, links/urls, attachments, sender, senderDisplayName, platform, messages, draftTo, draftSubject, draftBody, media, imageUrl, imageUrls, videoUrl, etc.
Returns: recommendedTools[] with tool name, reason, priority, estimatedCost; skippedTools[] with reason; totalEstimatedCost; summary
### check_email_safety ($0.01)
Analyze an email for phishing, social engineering, prompt injection, CEO fraud, and data exfiltration.
Input: from (string, required), subject (string, required), body (string, required), links (string[]), attachments (object[]), knownSender (boolean), previousCorrespondence (boolean)
Returns: verdict, riskScore, confidence, threats[], recommendation, explanation, safeActions[], unsafeActions[]
### check_url_safety ($0.01)
Analyze URLs for phishing, malware, redirects, spoofing, and tracking.
Input: urls (string[], required, max 20)
Returns: overallVerdict, overallRiskScore, urlResults[]
### check_response_safety ($0.01)
Check a draft reply BEFORE sending for data leakage, social engineering compliance, and unauthorized disclosure.
Input: draftTo (string, required), draftSubject (string, required), draftBody (string, required), originalFrom (string), originalSubject (string), originalBody (string)
Return