Improvado MCP extracts data from New Relic and makes it queryable by any AI agent. Ask about application performance, error trends, and infrastructure health without opening a single dashboard.
Improvado MCP connects your New Relic data to AI, so teams can query APM metrics, error rates, throughput, and infrastructure health in plain English — no SQL, no manual exports.
"What's our average response time this week?"
30 min → 20 sec"Show error rate spikes in last 24 hours"
Manual → auto"Which services have highest transaction volume today?"
1 hr → 1 minCreate alerts, update configurations, and trigger incident responses directly from your AI agent — without switching context or opening New Relic manually.
"Create alert for error rate above 5%"
15 min → 2 min"Update Apdex threshold for checkout service"
Manual → auto"Tag all slow transactions from last hour"
45 min → 3 minMonitor throughput changes, error rate spikes, and infrastructure degradation automatically — your AI agent surfaces what matters before it becomes a problem.
"Alert if any service response time doubles"
Daily manual → auto"Which hosts show CPU spikes this week?"
Hourly check → instant"Track memory usage trends across all services"
Manual → autoYour AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
One conversation. All six phases. Every platform.
Teams spend hours pulling New Relic stats manually to understand application health and performance patterns.
Improvado MCP extracts New Relic data and makes it instantly queryable via AI — no manual exports needed.
Auditing error rates, transaction traces, and infrastructure metrics requires navigating multiple screens and manual correlation.
AI agents query observability data directly and surface root causes in seconds.
Unusual throughput drops or error rate spikes go unnoticed until they cause customer-facing issues.
Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.
Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
