Dynatrace MCP Server

import { HttpClient } from '@dynatrace-sdk/http-client'; import { executeDql } from './execute-dql'; export const listProblems = async (dtClient: HttpClient, additionalFilter?: string) => { // DQL Statement from Problems App to fetch all Davis Problems for the last 12 hours to now const dql = `fetch dt.davis.problems, from: now()-12h, to: now() | filter isNull(dt.davis.is_duplicate) OR not(dt.davis.is_duplicate) ${additionalFilter ? `| filter ${additionalFilter}` : ''} | fieldsAdd duration = coalesce(event.end, now()) - event.start, affected_entities_count = arraySize(affected_entity_ids), event_count = arraySize(dt.davis.event_ids), affected_users_count = dt.davis.affected_users_count, problem_id = event.id | fields display_id, event.name, event.description, event.status, event.category, event.start, event.end, root_cause_entity_id, root_cause_entity_name, duration, affected_entities_count, event_count, affected_users_count, problem_id, dt.davis.mute.status, dt.davis.mute.user, entity_tags, labels.alerting_profile, maintenance.is_under_maintenance, aws.account.id, azure.resource.group, azure.subscription, cloud.provider, cloud.region, dt.cost.costcenter, dt.cost.product, dt.host_group.id, dt.security_context, gcp.project.id, host.name, k8s.cluster.name, k8s.cluster.uid, k8s.container.name, k8s.namespace.name, k8s.node.name, k8s.pod.name, k8s.service.name, k8s.workload.kind, k8s.workload.name | sort event.status asc, event.start desc `; return await executeDql(dtClient, { query: dql, maxResultRecords: 5000, maxResultBytes: /* 5 MB */ 5000000 }); };