MCP server for Dynatrace Managed to access logs, events, and metrics.
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io.github.dynatrace-oss/dynatrace-managed-mcp is an MCP server that MCP server for Dynatrace Managed to access logs, events, and metrics. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 92/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"dynatrace-managed": {
"env": {
"LOG_LEVEL": "info",
"DT_PROD_TOKEN": "dt0c01.ABC123...",
"DT_CONFIG_FILE": "./dt-config.yaml",
"DT_STAGING_TOKEN": "dt0c01.XYZ789..."
},
"args": [
"-y",
"@dynatrace-oss/dynatrace-managed-mcp-server@latest"
],
"command": "npx"
}
}
}Are you the author?
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MCP server for Dynatrace Managed to access logs, events, and metrics.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y '@dynatrace-oss/dynatrace-managed-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked @dynatrace-oss/dynatrace-managed-mcp-server against OSV.dev.
Click any tool to inspect its schema.
get_entity_details_promptGet all details of the Dynatrace entity
get_problems_promptWhat problems has Dynatrace identified? Give details of the first problem.
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- Your Dynatrace Managed environment(s) is/are the primary Observability system, containing all live data; or
- There has been a migration from a Dynatrace Managed environment to a Dynatrace Saas environment; however, historical observability data has not been migrated and can still be accessed via a Dynatrace Managed environment. The Dynatrace Managed MCP is used to access historical data, and a separate Dynatrace SaaS MCP is used to access live and more recent data.
Specific use cases for the Dynatrace Managed MCP include:
- 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. This can include multicloud compliance assessment with evidence-based investigation.
- Natural language queries - Queries are mapped to MCP tool usage, and thus API queries, with guidance for the next step
- Multiphase incident investigation - Systematic impact assessment and troubleshooting
- Multienvironment support - Query multiple Dynatrace Managed environments from the same MCP server
- Problems - List and get problem details from your services (for example Kubernetes)
- Security - List and get security problems / vulnerability details
- Entities - Get more information about a monitored entity, including relationship mappings
- SLO - List and get Service Level Objective details, including evaluation and error budgets
- Event Tracking - List and get system events
- Log Investigation - Search and filter logs with advanced content and time-based queries
- Metrics Analysis - Query and analyze performance metrics using V2 Metrics API
The local Dynatrace Managed MCP server allows AI Assistants to interact with one or more self-hosted Dynatrace Managed deployments, bringing observability data directly into your AI-assisted workflow.
This MCP server supports two modes:
[!TIP] This MCP server is specifically designed for Dynatrace Managed (self-hosted) deployments. For Dynatrace SaaS environments, please use the Dynatrace MCP.
[!NOTE] This open source product is supported by the