Discover our curated collection of MCP servers for deployment & devops. Browse 2591servers and find the perfect MCPs for your needs.
Simplifies framework deployments on shared hosting environments using the Model Context Protocol.
Enables natural language queries and AI-powered diagnostics for Kubernetes cluster management.
Provides a Key-Value storage MCP server built on unjs/unstorage with support for various drivers like Redis, MongoDB, and filesystem.
Installs and manages other MCP servers via prompts.
Enables AI assistants to manage Gitee Enterprise repositories, issues, and pull requests through the Model Context Protocol (MCP).
Provides a Model Context Protocol (MCP) server to manage and access AWS VPC Lattice resources and documentation.
Formats Protocol Buffer (.proto) files (versions 2, 3, and editions).
Enables LLMs and AI Agents to manage serverless cron jobs through CRUD operations via the Cronlytic API.
Analyzes and automates Zabbix events using AI-powered Model Context Protocol.
Provides comprehensive tools and a web interface for monitoring and defining performance bottlenecks in Logstash instances.
Bridges Model Context Protocol (MCP) compliant clients with diverse backend services through a high-performance gateway.
Empower AI assistants to interact with and control terminal sessions through a secure, isolated environment.
Provides remote management of Kubernetes clusters via the Model Context Protocol (MCP), enabling natural language control for AI platforms and applications.
Provides intelligent assistance for Azure Terraform operations, enhancing infrastructure as code development.
Automates AI-enhanced, container-first infrastructure deployment and management for hypervisors across various cloud providers and operating systems.
Manages Kubernetes clusters by exposing kubectl, Helm, and Kustomize capabilities via the Model Context Protocol.
Empower autonomous management of GitHub repositories, branches, security, and Actions through natural language commands.
Exposes differences between Rails framework versions as a centralized MCP server.
Store, organize, and retrieve structured information efficiently using a hierarchical dot notation system.
Applies enterprise-grade governance to Claude AI agent workflows, connecting Claude Desktop and Claude Code to a hosted governance engine.
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