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Dynatrace MCP Server

Dynatrace MCP Server

by RakeshSingh-21
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Dynatrace MCP Server

Este proyecto implementación un servidor de Model Context Protocol (MCP) que proyectreplica una interfa para interactuar con Dynatrace Grail y los endpoints de la API.

Característicias

  • Ejecución de DQL: Ejecruta consultas atrariras en Dynatrace Query Language (DQL).

  • Recuperación de logs: Obtene y filtra logs de aplicaciones.

  • Informe de prolemas: Obtene los prolemas activos actuales de Dynatrace.

  • Consulta de métricas: Conusulta métricas mediante DQL.

Related MCP server: Dynatrace Managed MCP Server

Requisitíos previos

  • Pithon 3.10,10+

  • Un entorno de Dynatrace con tokens de acceso ya la API.

Configuración

  1. Variables de Entorino: Crea un archivo .env en el directorio raíz con las siguiente variantes:

    DYNATRACE_URL=<your-dynatrace-url>
DYNATRACE_API_TOKEN=<your-api-token>
DYNATRACE_PLATFORM_URL=<your-platform-url>
DYNATRACE_PLATFORM_TOKEN=<your-platform-token>
DYNATRACE_LOG_INGEST_TOKEN=<your-log-ingest-token>

  2. Dependencias: Instala las dependercias necesrias:

    pip install -r requirements.txt

Uso

Inicia el servidor MCP:

GXP3

Añade esto a gemini/settings.json

GXP4

Después, ejecuta cli CLI Cú gemini

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

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