← Back to search
70
Agent Ready
Agentic Readiness Score
+25 llms.txt +20 ai-plugin missing +20 OpenAPI
ai-tools llms-txtai-pluginapimcpaisecurity

Agentic Signals

📄
Found
🤖
Found
📖
OpenAPI Spec
Not found
🔗
Structured API
Found
🛡
Not specified
🏷
Schema.org Markup
Not found
MCP Server
Found

Embed this badge

Show off your agentic readiness — the badge auto-updates when your score changes.

Agentic Ready 70/100

            

llms.txt Content

# Agent Safe - Message Security Suite for AI Agents (8 Subscription Tools + 3 Free) > MCP Server: https://agentsafe.locationledger.com/mcp > Protocol: Streamable HTTP (MCP) > Auth: OAuth 2.1 (dynamic client registration + PKCE) — Claude, ChatGPT, Gemini, and Cursor handle sign-in automatically > Pricing: 25 free trial checks per account, then $9/month subscription or credit packs ## 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 (1 unit) 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 (1 unit) Analyze URLs for phishing, malware, redirects, spoofing, and tracking. Input: urls (string[], required, max 20) Returns: overallVerdict, overallRiskScore, urlResults[] ### check_response_safety (1 unit) 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 (stri