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.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Create alerts, update configurations, and trigger incident responses directly from your AI agent — without switching context or opening New Relic manually.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Monitor throughput changes, error rate spikes, and infrastructure degradation automatically — your AI agent surfaces what matters before it becomes a problem.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Create alerts, update configurations, and trigger incident responses directly from your AI agent — without switching context or opening New Relic manually.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
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. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
New Relic MCP is an integration that connects New Relic data to AI agents via the Improvado MCP server. It allows teams to query APM metrics, error rates, throughput, and infrastructure health using plain-language prompts.
Improvado extracts APM metrics, transaction traces, error rates, throughput data, infrastructure health, and host performance from New Relic, making all of it queryable through connected AI agents.
No. Once Improvado MCP is configured, you interact with your New Relic data through plain-language prompts in your AI agent — no SQL or scripting required.
Yes. You can set up AI-driven monitoring that tracks performance trends, error rate changes, and infrastructure anomalies — surfacing issues without manual review.
The New Relic UI is manual and siloed. Improvado MCP makes the same data available to AI agents that can query, correlate, and act on it alongside data from other tools.
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.