dynatrace · MCP Server

Dynatrace + Improvado MCP — Observability Data, One Question Away

Improvado MCP extracts data from Dynatrace and makes it queryable by any AI agent. Ask about application performance, infrastructure health, and user experience 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 Dynatrace data to AI, so teams can query response times, error rates, infrastructure metrics, and anomaly alerts in plain English — no SQL, no manual exports.

Example prompts

"Which services had highest error rates today?"

30 min → 20 sec

"Show CPU usage spikes across all hosts"

Manual → auto

"What's the Apdex trend for our APIs?"

1 hr → 45 sec

Works with Claude ChatGPT Cursor +5

Write

Act on Performance Insights Without Leaving Your AI Workflow

Create maintenance windows, update alerting rules, and tag problem incidents directly from your AI agent — without switching context or opening Dynatrace manually.

Example prompts

"Create maintenance window for production deployment tonight"

15 min → 2 min

"Tag all open problems with release version"

Manual → auto

"Update alerting threshold for database response time"

20 min → 3 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Stay Ahead of Performance Issues and Anomalies

Monitor response time degradation, infrastructure anomalies, and user experience drops automatically — your AI agent surfaces what matters before it impacts customers.

Example prompts

"Alert if any service response time exceeds 2s"

Hourly check → auto

"Which hosts show memory usage above 90%?"

Manual → instant

"Track new problems opened in last hour"

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your 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.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Scattered Performance Metrics

The problem

Teams spend hours navigating Dynatrace dashboards to correlate application performance, infrastructure health, and user experience data across environments.

How MCP solves it

Improvado MCP extracts Dynatrace data and makes it instantly queryable via AI — no manual dashboard hunting needed.

Try asking

Compare API response times across all regions today

Answer in seconds

All data sources, one query

Challenge 2

Slow Incident Investigation

The problem

Investigating anomalies and root causes requires jumping between multiple Dynatrace views, exporting data, and manually correlating events.

How MCP solves it

AI agents query performance metrics and anomaly data directly, surfacing root causes and correlations in seconds.

Try asking

Show all problems correlated with last deployment

Full detail preserved

No data loss on export

Challenge 3

Delayed Response to Performance Degradation

The problem

Performance issues and infrastructure anomalies go unnoticed until customer complaints arrive or SLAs are breached.

How MCP solves it

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

Try asking

Flag services with response time increase over 50%

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

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.

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.

FAQ

Common questions

What is Dynatrace MCP?

Dynatrace MCP is an integration that connects Dynatrace observability data to AI agents via the Improvado MCP server. It allows teams to query performance metrics, infrastructure health, and anomaly alerts using plain-language prompts.

What data does Improvado extract from Dynatrace?

Improvado extracts application performance metrics, infrastructure health data, user experience scores, anomaly alerts, problem events, and service dependencies from Dynatrace, making all of it queryable through connected AI agents.

Do I need to write code to use Dynatrace MCP?

No. Once Improvado MCP is configured, you interact with your Dynatrace data through plain-language prompts in your AI agent — no SQL or scripting required.

Can I monitor Dynatrace metrics automatically?

Yes. You can set up AI-driven monitoring that tracks response times, error rates, infrastructure anomalies, and user experience metrics — surfacing issues without manual dashboard review.

How is this different from the Dynatrace UI?

The Dynatrace 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 Dynatrace 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