Best etcd MCP Servers
etcd is a distributed reliable key-value store for the most critical data of a distributed system
Why this server?
Supports etcd as a backend for Terraform state management in high-availability configurations.
AlicenseBqualityCmaintenanceEnables AI assistants to manage homelab infrastructure through automated service installation (Jellyfin, Pi-hole, Ollama, Home Assistant, Frigate NVR), VM operations, AI accelerator support (MemryX, Coral TPU, Hailo-8), and Terraform state management with SSH-based discovery and deployment.585MITWhy this server?
Provides tools for analyzing etcd logs to assist SREs in monitoring core Kubernetes infrastructure health and troubleshooting cluster state issues.
Why this server?
Provides a stub driver for etcd, a key-value store, enabling integration and extensibility.
AlicenseBqualityDmaintenanceEnables AI agents to interact with over 50 SQL and NoSQL databases through MCP tools for querying, schema inspection, and table management.51MITWhy this server?
Provides access to etcd cluster status and health information.
AlicenseBqualityCmaintenanceA comprehensive Model Context Protocol (MCP) server that exposes 216 tools, 7 resources, and 10 runbook prompts for every OpenShift 4 cluster operation an SRE, developer, or operator could need — all driven by an LLM.216Apache 2.0Why this server?
Coordinates leader election across replicas through etcd leases, helping determine which node runs scheduled jobs.
AlicenseAqualityBmaintenanceInspect a cronstable job scheduler's jobs, logs, run history, DAG workflows, and cluster health, and ask why a job did or didn't run. Read-only by default; tools that run, pause, or approve jobs and workflow runs need opt-in.19211 PyPI138MITWhy this server?
Provides tools for analyzing etcd cluster performance, including metrics on WAL fsync, backend commit, disk I/O, and network I/O, with automated bottleneck detection and performance reports.
AlicenseNot gradedqualityDmaintenanceA comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.1Apache 2.0Why this server?
Provides tools for analyzing etcd logs to investigate cluster health and issues.
AlicenseNot gradedqualityCmaintenanceAn open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.32 PyPI11Apache 2.0Why this server?
Provides tools for etcd cluster management including snapshots, restore, member listing, defragmentation, and alarm handling.
AlicenseNot gradedqualityDmaintenanceEnables AI agents to diagnose and recover Kubernetes clusters when the API server is unreachable, using SSH access to nodes and tools like etcdctl, systemctl, and kubeadm with 63 read-only and destructive tools.MITWhy this server?
Provides tools for managing etcd backups, including backup and restore operations, through the Rancher management plane.
AlicenseNot gradedqualityBmaintenanceOperates Rancher-managed Kubernetes through any MCP client with capability detection, generic resource access, and curated workflows, wrapped in an audit-logged, rate-limited, confirmation-guarded safety model.56 PyPI1MIT