Dynatrace▌
by dynatrace-oss
Integrate Dynatrace, a leading data observability platform and APM tool, to monitor metrics, security, and network perfo
Integrates with Dynatrace to provide real-time observability data, enabling developers to monitor problems, security vulnerabilities, logs, and metrics directly in their development workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / DevOps engineers troubleshooting production issues
- / Developers monitoring application performance during development
- / Security teams tracking vulnerabilities
capabilities
- / Query Dynatrace problems and incidents
- / Retrieve security vulnerability data
- / Fetch application logs and metrics
- / Monitor system performance data
- / Access real-time observability insights
what it does
Connects your development environment to Dynatrace's monitoring platform to fetch real-time observability data including problems, security vulnerabilities, logs, and metrics.
about
Dynatrace is an official MCP server published by dynatrace-oss that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate Dynatrace, a leading data observability platform and APM tool, to monitor metrics, security, and network perfo It is categorized under developer tools.
how to install
You can install Dynatrace in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Dynatrace is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Dynatrace MCP Server
<h4 align="center"> <a href="https://github.com/dynatrace-oss/dynatrace-mcp/releases"> <img src="https://img.shields.io/github/release/dynatrace-oss/dynatrace-mcp" /> </a> <a href="https://github.com/dynatrace-oss/dynatrace-mcp/blob/main/LICENSE"> <img src="https://img.shields.io/badge/license-mit-blue.svg" alt="Dynatrace MCP Server is released under the MIT License" /> </a> <a href="https://vscode.dev/redirect/mcp/install?name=dynatrace-mcp-server&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40dynatrace-oss%2Fdynatrace-mcp-server%22%5D%2C%22env%22%3A%7B%7D%7D"> <img src="https://img.shields.io/badge/Install_in-VS_Code-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white" /> </a> <a href="[https://vscode.dev/redirect/mcp/install?name=dynatrace-mcp-server&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40dynatrace-oss%2Fdynatrace-mcp-server%22%5D%2C%22env%22%3A%7B%7D%7D](https://cursor.com/en/install-mcp?name=dynatrace-mcp-server&config=eyJuYW1lIjoiZHluYXRyYWNlLW1jcC1zZXJ2ZXIiLCJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBkeW5hdHJhY2Utb3NzL2R5bmF0cmFjZS1tY3Atc2VydmVyIl0sImVudiI6e319)"> <img src="https://img.shields.io/badge/Install_in-Cursor-000000?style=flat-square&logoColor=white" /> </a> <a href="https://www.npmjs.com/package/@dynatrace-oss/dynatrace-mcp-server"> <img src="https://img.shields.io/npm/dm/@dynatrace-oss/dynatrace-mcp-server?logo=npm&style=flat&color=red" alt="npm" /> </a> <a href="https://github.com/dynatrace-oss/dynatrace-mcp"> <img src="https://img.shields.io/github/stars/dynatrace-oss/dynatrace-mcp" alt="Dynatrace MCP Server Stars on GitHub" /> </a> <a href="https://github.com/dynatrace-oss/dynatrace-mcp"> <img src="https://img.shields.io/github/contributors/dynatrace-oss/dynatrace-mcp?color=green" alt="Dynatrace MCP Server Contributors on GitHub" /> </a> </h4>🚀 Try out our brand new Remote Dynatrace MCP Server! Now available - no local setup required, connect instantly to your Dynatrace environment from any MCP-compatible client.
The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow.
Note: This product is not officially supported by Dynatrace.
If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help.
https://github.com/user-attachments/assets/25c05db1-8e09-4a7f-add2-ed486ffd4b5a
Quickstart
You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT, or Github Copilot via the command is npx -y @dynatrace-oss/dynatrace-mcp-server (type: stdio). For more details, please refer to the configuration section below.
Furthermore, you need to configure the URL to a Dynatrace environment:
DT_ENVIRONMENT(string, e.g.,https://abc12345.apps.dynatrace.com) - URL to your Dynatrace Platform (do not use Dynatrace classic URLs likeabc12345.live.dynatrace.com)
Authentication will be handled via Authorization Code Flow in your browser, you don't need to define a Platform Token nor an OAuth Client to get started.
Once you are done, we recommend looking into example prompts, like Get all details of the entity 'my-service' or Show me error logs. Please mind that these prompts lead to executing DQL statements which may incur costs in accordance to your licence.
VSCode
{
"servers": {
"npx-dynatrace-mcp-server": {
"command": "npx",
"args": ["-y", "@dynatrace-oss/dynatrace-mcp-server@latest"],
"env": {
"DT_ENVIRONMENT": "https://abc12345.apps.dynatrace.com"
}
}
}
}
Architecture

Use cases
- Real-time observability - Fetch production-level data for early detection and proactive monitoring
- Contextual debugging - Fix issues with full context from monitored exceptions, logs, and anomalies
- Security insights - Get detailed vulnerability analysis and security problem tracking
- Natural language queries - Use AI-powered DQL generation and explanation
- Multi-phase incident investigation - Systematic 4-phase approach with automated impact assessment
- Advanced transaction analysis - Precise root cause identification with file/line-level accuracy
- Cross-data source correlation - Connect problems → spans → logs with trace ID correlation
- DevOps automation - Deployment health gates with automated promotion/rollback logic
- Security compliance monitoring - Multi-cloud compliance assessment with evidence-based investigation
Capabilities
- List and get problem details from your services (for example Kubernetes)
- List and get security problems / vulnerability details
- Execute DQL (Dynatrace Query Language) and retrieve logs, events, spans and metrics
- Send Slack messages (via Slack Connector)
- Set up notification Workflow (via Dynatrace AutomationEngine)
- Get more information about a monitored entity
- Get Ownership of an entity
- Create, list, and read documents (Notebooks, Dashboards, Launchpads, and other Dynatrace documents)
Costs
Important: While this local MCP server is provided for free, using certain capabilities to access data in Dynatrace Grail may incur additional costs based
on your Dynatrace consumption model. This affects execute_dql tool and other capabilities that query Dynatrace Grail storage, and costs
depend on the volume (GB scanned).
Before using this MCP server extensively, please:
- Review your current Dynatrace consumption model and pricing
- Understand the cost implications of the specific data you plan to query (logs, events, metrics) - see Dynatrace Pricing and Rate Card
- Start with smaller timeframes (e.g., 12h-24h) and make use of buckets to reduce the cost impact
- Set an appropriate
DT_GRAIL_QUERY_BUDGET_GBenvironment variable (default: 1000 GB) to control and monitor your Grail query consumption
Grail Budget Tracking:
The MCP server includes built-in budget tracking for Grail queries to help you monitor and control costs:
- Set
DT_GRAIL_QUERY_BUDGET_GB(default: 1000 GB) to define your session budget limit - The server tracks bytes scanned across all Grail queries in the current session
- You'll receive warnings when approaching 80% of your budget
- Budget exceeded alerts help prevent unexpected high consumption
- Budget resets when you restart the MCP server session
To understand costs that occured:
Execute the following DQL statement in a notebook to see how much bytes have been queried from Grail (Logs, Events, etc...):
fetch dt.system.events
| filter event.kind == "QUERY_EXECUTION_EVENT" and contains(client.client_context, "dynatrace-mcp")
| sort timestamp desc
| fields timestamp, query_id, query_string, scanned_bytes, table, bucket, user.id, user.email, client.client_context
| maketimeSeries sum(scanned_bytes), by: { user.email, user.id, table }
AI-Powered Assistance (Preview)
- Natural Language to DQL - Convert plain English queries to Dynatrace Query Language
- DQL Explanation - Get plain English explanations of complex DQL queries
- AI Chat Assistant - Get contextual help and guidance for Dynatrace questions
- Feedback System - Provide feedback to improve AI responses over time
Note: While Davis CoPilot AI is generally available (GA), the Davis CoPilot APIs are currently in preview. For more information, visit the Davis CoPilot Preview Community.
Configuration
You can add this MCP server (using STDIO) to your MCP Client like VS Code, Claude, Cursor, Amazon Q Developer CLI, Windsurf Github Copilot via the package @dynatrace-oss/dynatrace-mcp-server.
We recommend to always set it up for your current workspace instead of using it globally.
VS Code
{
"servers": {
"npx-dynatrace-mcp-server": {
"command": "npx",
"args": ["-y", "@dynatrace-oss/dynatrace-mcp-server@latest"],
"env": {
"DT_ENVIRONMENT": "https://abc12345.apps.dynatrace.com"
}
}
}
}
Claude Desktop
{
"mcpServers": {
"dynatrace-mcp-server": {
"command": "npx",
"args": ["-y", "@dynatrace-oss/dynatrace-mcp-server@latest"],
"env": {
"DT_ENVIRONMENT": "https://abc12345.apps.dynatrace.com"
}
}
}
}
Amazon Q Developer CLI
The Amazon Q Developer CLI provides an interactive chat experience directly in your terminal. You can ask questions, get help with AWS services, troubleshoot issues, and generate code snippets without leaving your command line environment.
{
"mcpServers": {
"dynatrace-mcp-server": {
"command": "npx",
"args": ["-y", "@dynatrace-oss/dynatrace-mcp-server@latest"],
"env": {
"DT_ENVIRONMENT": "https://abc12345.apps.dynatrace.com"
}
}
}
}
This configuration should be stored in <your-repo>/.amazonq/mcp.json.
Amazon Kiro
The Amazon Kiro is an agentic IDE that helps you do your best work with features such as specs, steering, and hooks.
{
"mcpServer
---
FAQ
- What is the Dynatrace MCP server?
- Dynatrace is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Dynatrace?
- This profile displays 69 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★69 reviews- ★★★★★Arjun Nasser· Dec 28, 2024
Dynatrace reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Olivia Park· Dec 20, 2024
Dynatrace has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Daniel Martinez· Dec 16, 2024
Useful MCP listing: Dynatrace is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ganesh Mohane· Dec 8, 2024
We evaluated Dynatrace against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Nia Rahman· Dec 4, 2024
Dynatrace is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Rahul Santra· Nov 27, 2024
Useful MCP listing: Dynatrace is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Arjun Rahman· Nov 23, 2024
Dynatrace reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Nia Park· Nov 19, 2024
Dynatrace is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Nia Haddad· Nov 11, 2024
Dynatrace is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Amelia Harris· Nov 7, 2024
We evaluated Dynatrace against two servers with overlapping tools; this profile had the clearer scope statement.
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