116 lines
12 KiB
JSON
116 lines
12 KiB
JSON
{
|
|
"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.<br class=\"hidden sm:block\"><span class=\"text-white font-semibold\">Query metrics, investigate incidents, and build dashboards — all through conversation.</span>",
|
|
"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<br><span class=\"text-red-400\">A Black Box</span>",
|
|
"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<br><span class=\"gradient-text\">AI-Powered Monitoring</span>",
|
|
"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<br><span class=\"gradient-text\">Supercharge Observability</span>",
|
|
"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": "<div style=\"background:rgba(255,255,255,0.03);border:1px solid rgba(255,255,255,0.08);border-radius:12px;overflow:hidden;margin-top:8px;max-width:420px;\"><div style=\"display:flex;align-items:center;justify-content:space-between;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.06);background:rgba(239,68,68,0.05);\"><div style=\"display:flex;align-items:center;gap:8px;\"><div style=\"width:6px;height:6px;border-radius:50%;background:#ef4444;\"></div><span style=\"font-size:11px;font-weight:700;color:#ef4444;text-transform:uppercase;letter-spacing:0.5px;\">Firing Alerts — 2 Active</span></div><span style=\"font-size:10px;color:rgba(255,255,255,0.3);font-family:monospace;\">Prod impacted</span></div><div style=\"padding:0;\"><div style=\"display:flex;align-items:center;gap:10px;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.04);\"><div style=\"flex-shrink:0;width:28px;height:28px;border-radius:8px;background:rgba(239,68,68,0.15);display:flex;align-items:center;justify-content:center;\"><span style=\"font-size:10px;font-weight:800;color:#ef4444;\">!</span></div><div style=\"flex:1;min-width:0;\"><div style=\"display:flex;align-items:center;gap:6px;margin-bottom:2px;\"><span style=\"font-size:12px;font-weight:600;color:#e4e4e7;\">High CPU on prod-api-12</span></div><div style=\"display:flex;align-items:center;gap:6px;\"><span style=\"font-size:10px;color:rgba(255,255,255,0.3);\">Triggered 4 min ago · 92% CPU</span><span style=\"display:inline-block;padding:1px 6px;border-radius:4px;font-size:9px;font-weight:600;background:rgba(239,68,68,0.15);color:#f87171;\">Critical</span></div></div></div><div style=\"display:flex;align-items:center;gap:10px;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.04);\"><div style=\"flex-shrink:0;width:28px;height:28px;border-radius:8px;background:rgba(245,158,11,0.15);display:flex;align-items:center;justify-content:center;\"><span style=\"font-size:10px;font-weight:800;color:#f59e0b;\">▲</span></div><div style=\"flex:1;min-width:0;\"><div style=\"display:flex;align-items:center;gap:6px;margin-bottom:2px;\"><span style=\"font-size:12px;font-weight:600;color:#e4e4e7;\">Elevated error rate</span></div><div style=\"display:flex;align-items:center;gap:6px;\"><span style=\"font-size:10px;color:rgba(255,255,255,0.3);\">Staging · 12 min ago · 8.2% errors</span><span style=\"display:inline-block;padding:1px 6px;border-radius:4px;font-size:9px;font-weight:600;background:rgba(245,158,11,0.15);color:#fbbf24;\">Warning</span></div></div></div></div></div>"},
|
|
{"type": "user", "text": "Show me CPU usage for prod-api-12 in the last hour"},
|
|
{"type": "ai", "text": "CPU metrics for prod-api-12:", "embed": "<div style=\"background:rgba(255,255,255,0.03);border:1px solid rgba(255,255,255,0.08);border-radius:12px;overflow:hidden;margin-top:8px;max-width:420px;\"><div style=\"display:flex;align-items:center;justify-content:space-between;padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.06);background:rgba(34,197,94,0.05);\"><div style=\"display:flex;align-items:center;gap:8px;\"><div style=\"width:6px;height:6px;border-radius:50%;background:#22c55e;\"></div><span style=\"font-size:11px;font-weight:700;color:#22c55e;text-transform:uppercase;letter-spacing:0.5px;\">Metric Query Result</span></div></div><div style=\"padding:10px 14px;border-bottom:1px solid rgba(255,255,255,0.04);\"><div style=\"background:rgba(255,255,255,0.02);border:1px solid rgba(255,255,255,0.05);border-radius:8px;padding:10px 12px;font-size:11px;color:rgba(255,255,255,0.5);line-height:1.5;\"><div style=\"margin-bottom:6px;font-weight:600;color:rgba(255,255,255,0.7);\">prod-api-12 · CPU Usage (Last Hour)</div><div style=\"font-size:10px;\">📈 Avg: 68% · Peak: 92% (4 min ago) · Spike detected at 2:43 PM</div></div></div><div style=\"padding:10px 14px;\"><div style=\"font-size:10px;color:rgba(255,255,255,0.4);\">Graph exported to dashboard · Recent deploy detected</div></div></div>"}
|
|
],
|
|
"ctaHeadline": "Start Automating Monitoring<br><span class=\"gradient-text\">Today</span>",
|
|
"ctaSubtext": "Join thousands of engineering teams using MCPEngage to supercharge their Datadog workflows."
|
|
}
|