New Relic
 · MCP Server

New Relic MCP — Your Observability Data, One Question Away

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.

46K+ metrics · Read & Write access · 500+ platforms · <60s setup
📈 Read

Ask Any Question About Your Application Performance

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.

Example prompts
"Show anomalies across all accounts" 2h → 40s
"CPL in New York vs. California?" 1h → 30s
"ROAS by campaign type, last 30 days" 45m → 15s
Works with Claude ChatGPT Cursor +5
Write actions
"Launch A/B test, $5K budget" 5 days → 20m
"Shift 20% of Display to PMax" 2h → 1m
"Pause all ad groups with CPA > $50" 30m → 10s
🛡 Every action logged · Fully reversible · SOC 2 certified
🚀 Write

Act on Insights Without Leaving Your AI Workflow

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

Stay Ahead of Performance Issues and Anomalies

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.

Monitor prompts
"Flag ad groups over 120% budget" 3h → 1m
"Weekly report: spend, CPA, anomalies" 3h → auto
"Which creatives are fatiguing?" 2h → 30s
Alerts sent to Slack, email, or your AI agent
💡
Ideate
🚀
Launch
📈
Measure
🔍
Analyze
📝
Report
🔄
Iterate
One conversation. All six phases. Every platform.
🔄 Full Cycle

The Closed Loop: Read → Decide → Write → Monitor

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.

Challenge 1

Scattered Performance Metrics

THE PROBLEM

Teams spend hours pulling New Relic stats manually to understand application health and performance patterns.

HOW MCP SOLVES IT

Improvado MCP extracts New Relic data and makes it instantly queryable via AI — no manual exports needed.

Try asking
"Show ROAS across all 120 accounts"
Answer in seconds
All data sources, one query
Try asking
"What's my CPL in New York vs. California?"
🔍
Full detail preserved
No data loss on export
Challenge 2

Slow Incident Investigation

THE PROBLEM

Auditing error rates, transaction traces, and infrastructure metrics requires navigating multiple screens and manual correlation.

HOW MCP SOLVES IT

AI agents query observability data directly and surface root causes in seconds.

Challenge 3

Delayed Response to Performance Degradation

THE PROBLEM

Unusual throughput drops or error rate spikes go unnoticed until they cause customer-facing issues.

HOW MCP SOLVES IT

Continuous monitoring surfaces anomalies automatically — teams get alerts before issues escalate.

Try asking
"PMax vs. Search ROAS for Q1?"
⚖️
Unified data model
Compare anything side by side
Agency CEO
Portfolio health. Client risk. Revenue signals.
Media Strategist
70% strategy, not 70% ops. Auto campaign QA.
Marketing Analyst
Zero wrangling. Cross-platform. AI narratives.
Account Manager
QBR decks auto-generated. Call prep in 30s.
Creative Director
Performance-to-brief. Predict winners before spend.
👥 Teams

One Framework. Five Roles. Zero Setup.

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.

Frequently Asked Questions

What is New Relic MCP?
+

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.

What data does Improvado extract from New Relic?
+

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.

Do I need to write code to use New Relic MCP?
+

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.

Can I monitor New Relic metrics automatically?
+

Yes. You can set up AI-driven monitoring that tracks performance trends, error rate changes, and infrastructure anomalies — surfacing issues without manual review.

How is this different from the New Relic UI?
+

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.

Which AI agents work with New Relic MCP?
+

Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.

What is New Relic MCP?
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.
What data does Improvado extract from New Relic?
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.
Do I need to write code to use New Relic MCP?
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.
Can I monitor New Relic metrics automatically?
Yes. You can set up AI-driven monitoring that tracks performance trends, error rate changes, and infrastructure anomalies — surfacing issues without manual review.
How is this different from the New Relic UI?
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.
Which AI agents work with New Relic MCP?
Improvado MCP works with any MCP-compatible AI agent, including Claude, custom LLM pipelines, and enterprise AI platforms that support the Model Context Protocol.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II
GDPR
500+ Platforms
46K+ Metrics