dynatrace-managed-mcp
MCP server for self-hosted Dynatrace Managed platform enabling AI assistants to interact with observability data including problems, security issues, logs, metrics, SLOs, and events.
Ficha actualizada 23 sept 2026, 8:05 · upstream 23 sept 2026, 8:00 · release v1.1.1
Qué es dynatrace-managed-mcp
Descripción editorial construida a partir del repositorio, su documentación y sus señales de mantenimiento.
The Dynatrace Managed MCP Server is an open-source tool that allows AI-powered agents to connect directly to self-managed Dynatrace Managed deployments. It provides a unified interface for querying production-level observability data including problems, security vulnerabilities, entity relationships, service level objectives, event tracking, log investigation, and metrics analysis. The server supports both local development (stdio mode) and remote deployment via HTTP/SSE connections. It enables natural language queries to be mapped to MCP tool usage with intelligent guidance on the next step of investigation.
- 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 including multicloud compliance assessment
- Natural language queries: Map natural language questions to MCP tool usage with guidance for the next step
- Multiphase incident investigation: Systematic impact assessment and troubleshooting across multiple environments
- Multienvironment support: Query multiple Dynatrace Managed environments from a single server instance
- Supports both local (stdio) and remote (HTTP/SSE) deployment modes for development and production use cases
- Provides comprehensive observability data including problems, security issues, logs, metrics, SLOs, and events from a single endpoint
- Enables natural language queries that are intelligently mapped to MCP tool usage with contextual guidance on the next step
- Supports multiple environments through configuration files (dt-config.yaml/json) or environment variables for multi-cluster deployments
- Designed specifically for Dynatrace Managed self-hosted platforms, not for SaaS environments
- Requires a valid Dynatrace Managed API token with specific scopes: DataExport, entities.read, events.read, logs.read, metrics.read, problems.read, securityProblems.read, slo.read
- Configuration files must be placed in the same directory as the MCP server binary or accessible via environment variable DT_CONFIG_FILE
- Remote mode requires an HTTP/SSE endpoint to be reachable from the AI agent's workspace
- Token-based authentication means tokens must be stored securely and cannot be exposed in client-side code
- Performance may vary depending on the size of monitored entities, number of events, and query complexity
Perfil de infraestructura
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To deploy this MCP server: (1) Install dependencies using `npm install` or `pnpm install`, (2) Create a `dt-config.yaml` file defining your environments with apiEndpointUrl, environmentId, alias, and apiToken, (3) Set DT_CONFIG_FILE to the config path in your MCP connection configuration, (4) For remote mode, ensure an HTTP/SSE endpoint is accessible from the agent's workspace. The server can be run locally for development or deployed as a containerized service with proper authentication.
Stack y dependencias
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