DevOps MCP servers for Kubernetes, Docker, Terraform and CI/CD: let an AI assistant inspect clusters, read pipelines and help with infrastructure. 2,455 servers in this category.
Enables AI assistants to perform SRE operations by connecting to PagerDuty, Grafana, Kubernetes, and AWS CloudWatch.
Diagnoses Kubernetes failures across edge, apps, data, and logging layers and proposes fixes as GitOps commits.
Connects AI assistants to Linux systems to execute command-line programs, shell scripts, and multi-language source code interactively.
Provides a secure, audited gateway for multiple AI agents to share a single Linux server with features like a recycle bin and agent-to-agent messaging.
Enables AI assistants to administer, monitor, and diagnose Oracle GoldenGate deployments using structured metrics and REST API data.
Provides LLM clients conversational access to Azure cost analysis, budget tracking, forecasting, and resource optimization across multiple subscriptions.
$claude mcp add azure-finops-mcp-server -- uvx azure-finops-mcp
Exposes mobile CI/CD tools including build management, signing identities, testing distribution, and app store publishing to AI clients.
$claude mcp add --transport http appcircle-mcp https://mcp.appcircle.io/
Proxies and orchestrates other MCP servers through one unified interface, sanitizing sensitive data in requests and responses.
Maps and governs AI attack surfaces in application code by detecting LLM calls, agents, MCP servers, and RAG pipelines locally and offline.
Provides samples for building and deploying custom remote MCP servers to the cloud with Azure Functions in Python.
Lets an AI client run penetration-testing tools like Nmap, Nuclei, SQLMap, and ZAP through Docker to automate security assessments.
Lets Claude orchestrate 80 penetration testing tools, from recon to reporting, with safety controls and audit logging.
Hot-reloads changed Python modules at variable-level granularity so an AI client's MCP server keeps state and connections alive.
$claude mcp add --transport http hmr https://pyth-on-line.promplate.dev/hmr/mcp
Lets an AI client inspect and manage an OpenStack project's compute, network, storage, and telemetry resources, read-only by default.
Enables AI clients to manage Jenkins builds, inspect logs, diagnose failures, and perform semantic searches across CI/CD pipelines.
Provides change control for AI agents by requiring human approval for risky actions and maintaining a tamper-evident audit record.
Provides coding agents with a Linux environment featuring exact undo, machine forks, and rapid rollbacks using Firecracker microVMs.
Lets AI assistants manage the Google Play Store release lifecycle, including artifact uploads, track management, tester lists, and Android Vitals monitoring.
$claude mcp add googleplayconsolemcp -- uvx google-play-mcp
Provides accountability infrastructure for long-running AI agents by maintaining a shared provenance graph of claims, reviews, and outcomes.
Enables AI clients to manage aaPanel instances, including websites, databases, Docker containers, system optimization, and security hardening.