kahlo-mcp
Related Servers
Alternatives to kahlo-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides Kubernetes deployment intelligence with typed query tools and AI-synthesized risk briefs, enabling users to list workloads, get detailed snapshots, query Prometheus metrics, record deployment history, and generate risk assessments before promoting to production.Apache 2.0

kubestellar-mcpofficial
AlicenseNot gradedqualityAmaintenanceEnables AI agents to inspect and operate multiple Kubernetes clusters through natural language, providing multi-cluster diagnostics, RBAC analysis, security checks, and app-centric deployment with GitOps and smart workload placement.2Apache 2.0- AlicenseNot gradedqualityAmaintenanceEnables intelligent Kubernetes deployments, automated documentation testing, organizational pattern management, and shared prompt libraries. Provides AI-powered recommendations based on cluster capabilities and automates DevOps workflows through conversational interfaces.289 npm336MIT
- AlicenseNot gradedqualityBmaintenanceEnables natural language Kubernetes operations, including smart resource queries, pod root-cause analysis, cross-environment diffs, and manifest generation.15 PyPIMIT
- AlicenseBqualityCmaintenanceEnables read-only, stack-aware diagnostics for microservices on Kubernetes, turning debugging runbooks into conversational tools that investigate slow requests, changes, leaks, and in-pod conditions without exposing cluster credentials.57Apache 2.0
- FlicenseNot gradedqualityAmaintenanceEnables users to investigate infrastructure incidents in plain English, correlate observability and deploy data with runbooks, and get evidence-backed root-cause proposals with approval-gated remediation.5-
TDQS
Scored across 11 tools
Each tool targets a distinct diagnostic step: ArgoCD app listing/status/diff, Kubernetes pod/log/event/describe/debug operations, and Dynatrace entity lookup/correlation. There is no overlapping purpose; even the three ArgoCD tools are clearly separated by whether you need inventory, status, or spec drift.
All tools use snake_case verb_noun names with clear, consistent verbs: list/get/describe/exec/spawn/find/correlate. The pattern is predictable, so an agent can infer what a tool does from its name alone.
11 tools is a well-scoped size for a Kubernetes/ArgoCD/Dynatrace troubleshooting server. Each tool earns its place in the incident-investigation workflow without redundancy.
The set covers the full observability loop: discover an ArgoCD app, check status and drift, inspect pods/logs/events/describe, spawn debug containers and exec commands, then correlate with Dynatrace problems. No dead ends or obvious missing operations for the stated diagnostic purpose.