{
"name": "Datadog",
"slug": "datadog",
"tagline": "AI-Power Your Monitoring in 2 Clicks",
"metaDescription": "Connect Datadog to any AI model with MCPEngage. Manage metrics, monitors, dashboards, and logs through natural conversation.",
"badgeText": "Now Available — Connect Datadog + AI",
"heroSubtitle": "MCPEngage connects Datadog to any AI model via MCP.
Query metrics, investigate incidents, and build dashboards — all through conversation.",
"urlBarPath": "datadog",
"chatPlaceholder": "Ask about your infrastructure...",
"toolCount": "58",
"installPlatformName": "Datadog",
"installToolCount": "58",
"sidebarIcons": [
{"icon": "message-square", "label": "Chat"},
{"icon": "activity", "label": "Metrics"},
{"icon": "bell", "label": "Monitors"},
{"icon": "layout", "label": "Dashboards"}
],
"rightPanel": {
"tab1Label": "Alerts",
"tab1Icon": "bell",
"tab1Count": "7",
"tab2Label": "Metrics",
"tab2Icon": "activity",
"cards": [
{
"title": "High CPU on prod-api-12",
"subtitle": "Triggered 4 min ago • Critical",
"badge": "Firing",
"badgeColor": "red",
"tags": [
{"text": "Production", "bg": "bg-brand-500/15", "color": "text-brand-400"},
{"text": "API cluster", "bg": "bg-zinc-800", "color": "text-zinc-400"}
]
},
{
"title": "Elevated error rate",
"subtitle": "Triggered 12 min ago • Warning",
"badge": "Warning",
"badgeColor": "yellow",
"tags": [
{"text": "Staging", "bg": "bg-brand-500/15", "color": "text-brand-400"},
{"text": "Web service", "bg": "bg-zinc-800", "color": "text-zinc-400"}
]
}
]
},
"stats": [
{"value": 58, "suffix": "+", "label": "Monitoring Tools"},
{"prefix": "$", "value": 0, "label": "Setup Cost"},
{"value": 2, "suffix": "min", "label": "Install Time"},
{"display": "24/7", "label": "AI Observability"}
],
"terminalLines": [
{"text": "$ npx mcpengage init", "color": "text-white", "delay": 0},
{"text": "", "color": "", "delay": 600},
{"text": "? Select your platform: Datadog", "color": "text-cyan-400", "delay": 1200},
{"text": "", "color": "", "delay": 1600},
{"text": " Connecting to Datadog API...", "color": "text-zinc-500", "delay": 2000},
{"text": "✓ Connected to Datadog API", "color": "text-green-400", "delay": 3000},
{"text": "✓ 58 tools loaded", "color": "text-green-400", "delay": 3600},
{"text": "✓ Ready! Ask your AI anything about Datadog", "color": "text-green-400", "delay": 4200}
],
"beforeItems": [
{"title": "Dashboard surfing", "desc": "Toggle between 15 different Datadog dashboards trying to correlate CPU, memory, and error rates"},
{"title": "Alert fatigue", "desc": "Slack alerts fire constantly — you check Datadog UI, find the host, check logs, dig through metrics"},
{"title": "Manual queries", "desc": "Want to know \"which service is slowest?\" — you write custom PromQL, wait 30 seconds, format results"},
{"title": "Incident chaos", "desc": "On-call gets paged — spend 10 minutes finding the right dashboard, host, and time window"}
],
"afterItems": [
{"title": "One-question visibility", "desc": "\"Show me prod CPU usage in the last hour\" — instant graph with anomaly highlights"},
{"title": "Smart incident triage", "desc": "\"What's wrong with prod-api-12?\" — AI pulls CPU, memory, logs, and recent deploys in one view"},
{"title": "Natural metric queries", "desc": "\"Which service has the highest error rate?\" — AI queries, ranks, and explains in plain English"},
{"title": "Instant troubleshooting", "desc": "\"Show me all errors from checkout service in the last 10 minutes\" — logs + context delivered"}
],
"painPointsHeadline": "Your Infrastructure Is
A Black Box",
"painPointsSubHeadline": "Datadog collects everything, but finding the right metric at 3am is still a nightmare.",
"painPoints": [
{"icon": "activity", "title": "Metric Overload", "desc": "You're tracking 10,000+ metrics across services, hosts, and containers. Finding the one that explains why checkout is slow requires dashboard archaeology."},
{"icon": "bell", "title": "Alert Storm Chaos", "desc": "Monitors fire all the time. Half are false positives. The other half require 5 clicks to understand context. By the time you investigate, the incident has evolved."},
{"icon": "search", "title": "Log Labyrinth", "desc": "Error logs are in Datadog. Stack traces are in Sentry. Recent deploys are in GitHub. Correlating them requires opening six browser tabs and manual detective work."}
],
"howItWorksHeadline": "Three Steps to
AI-Powered Monitoring",
"howItWorks": [
{"title": "Connect Your Datadog", "desc": "Paste your Datadog API and application keys from account settings. MCPEngage discovers all metrics, monitors, dashboards, and logs — building 58+ tools automatically. No code required."},
{"title": "Ask in Plain English", "desc": "\"Show me prod CPU spikes.\" \"What's firing right now?\" \"Which service is slowest?\" Your AI understands observability like a veteran SRE."},
{"title": "Automate Incident Response", "desc": "Set up workflows: triage alerts, correlate metrics, query logs, notify on-call, create dashboards, and post summaries to Slack — all running 24/7."}
],
"featuresHeadline": "Everything to
Supercharge Observability",
"featuresSubtext": "58+ Datadog tools accessible through one natural-language interface.",
"features": [
{"icon": "activity", "title": "Metric Intelligence", "desc": "Query any metric with natural language. \"Show me average response time by service last week.\""},
{"icon": "bell", "title": "Monitor Management", "desc": "Create, update, mute, and resolve monitors through conversation. \"Mute the staging alerts.\""},
{"icon": "layout", "title": "Dashboard Builder", "desc": "Generate custom dashboards on demand. \"Create a dashboard for checkout service performance.\""},
{"icon": "file-text", "title": "Log Explorer", "desc": "Search logs, filter by tags, and correlate with metrics. \"Show me all errors from prod-api in the last hour.\""},
{"icon": "zap", "title": "Incident Correlation", "desc": "AI connects alerts, metrics, logs, and deploys to surface root cause. \"Why is checkout slow?\""},
{"icon": "trending-up", "title": "Anomaly Detection", "desc": "Spot unusual patterns in metrics automatically. \"Which metrics are behaving abnormally?\""}
],
"faq": [
{"q": "What is MCP?", "a": "MCP (Model Context Protocol) is an open standard created by Anthropic that lets AI models securely connect to external tools and data sources. Think of it as a USB port for AI — MCPEngage uses MCP to give your AI real-time access to Datadog."},
{"q": "How does it connect to Datadog?", "a": "You provide a Datadog API key and application key from your account settings. MCPEngage uses the Datadog API to create 58+ tools covering metrics, monitors, dashboards, and logs. Your credentials are encrypted and never stored on our servers."},
{"q": "Is my monitoring data secure?", "a": "Absolutely. MCPEngage runs locally or in your own infrastructure — monitoring data never passes through our servers. API keys are encrypted at rest. You control all access permissions."},
{"q": "Can it replace the Datadog UI?", "a": "MCPEngage is designed to complement the Datadog UI, not replace it. Use AI for quick queries, incident triage, and automation. Use the UI for deep investigation and visual exploration."},
{"q": "How much does it cost?", "a": "MCPEngage is free during the beta period. After launch, pricing starts at $29/month per platform connection. Enterprise plans with custom integrations and priority support are available on request."},
{"q": "Can I use it with other platforms?", "a": "Yes! MCPEngage supports 66+ platforms including PagerDuty, Slack, GitHub, AWS, and many more. Each platform gets its own MCP server with platform-specific tools. Connect as many as you need."}
],
"chatMessages": [
{"type": "user", "text": "What alerts are firing right now?"},
{"type": "ai", "text": "You have 2 active alerts:", "embed": "