Discover our curated collection of MCP servers for deployment & devops. Browse 2341servers and find the perfect MCPs for your needs.
Manages Huawei Cloud Container Engine (CCE) clusters and Kubernetes resources through a unified interface.
Automates AI-powered Kubernetes cluster remediation and GitOps operations through a lean, containerized REST API, designed for orchestration by external systems like N8N.
Provides a simple echo service, returning messages it receives for diagnostic and testing purposes within the MCP framework.
Installs and manages other MCP servers via prompts.
Enables AI agents to manage Kubernetes clusters by providing a secure, standardized interface to the Cluster API (CAPI).
Adjusts Dell PowerEdge server fan speeds dynamically based on CPU temperature to optimize cooling and minimize noise.
Implements an MCP Server utilizing AWS serverless services like Lambda, API Gateway, and EventBridge.
Provides a lightweight and secure backend for managing and monitoring Docker containers remotely via REST and WebSocket APIs.
Empower AI coding agents to generate organization-specific Terraform Infrastructure as Code by providing a custom style guide via the Model Context Protocol.
Integrate Infomaniak cloud services with AI assistants like Claude for streamlined management of domains, email, web hosting, and infrastructure.
Enables AI agents to execute server-side JavaScript and perform operations directly on ServiceNow instances, significantly reducing context bloat.
Enables AI clients to securely control remote servers, execute commands, and manage files via SSH and SFTP.
Provides a Python wrapper for the ArchiveBox API and operates as a Model Context Protocol (MCP) server for Agentic AI.
Provides a natural language interface for Kubernetes troubleshooting and analysis powered by AI.
Provides comprehensive tools and a web interface for monitoring and defining performance bottlenecks in Logstash instances.
Provides secure, read-only access to Amazon Redshift data warehouses for AI assistants and LLMs.
Provides an agent-friendly API for managing and orchestrating AFL++ fuzzing campaigns and security testing workflows.
Secures code across the entire Software Development Life Cycle (SDLC) using a combination of static analysis, dynamic analysis, and agentic AI to deliver accurate security insights.
Provides a collection of plugins, tools, and an AI agent for building robust HTTP MCP servers with the Golang SDK.
Provides a serverless weather data service using the Model Context Protocol for consumption by intelligent agents.
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