783 servers in this category
A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.
MCP server implementation for Keycloak user management. Enables AI-powered administration of Keycloak users and realms through the Model Context Protocol (MCP). Seamlessly integrates with Claude Desktop and other MCP clients for automated user operations.
🫖 Status page with uptime monitoring & API monitoring as code 🫖
Open-source terminal SSH manager and SSH config editor in Rust. Fuzzy search hundreds of hosts, sync from 16 clouds, transfer files, manage Docker and Podman over SSH, sign short-lived Vault SSH certs and expose an MCP server for AI agents.
MCP Server for vmanomaly - VictoriaMetrics anomaly detection
Safe, structured access to a HashiCorp Nomad cluster: jobs, allocations, task logs, nodes, node pools, deployments, quotas and scheduler evaluations. Works with Community Edition and Enterprise. Read-only by default.
Train, explain, optimise and deploy transparent glass-box ML models via workflow tools.
AI-powered development platform for Kubernetes deployments and intelligent automation
MCP server to access argo workflows
GitOps on Autopilot Mode
Read-only MCP server for self-hosted Atlassian Bamboo CI/CD
Manage the Massdriver infrastructure platform: projects, environments, deployments, and more.
Monitoring that agents set up for themselves — cron jobs, CI/CD pipelines and AI agent runs.
Hosted agent memory with provenance, contradiction surfacing, and snapshot rollback.
Deploy and manage web apps on InstaPods: create pods, push files, run commands, read logs.
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
A minimal MCP server in Rust (rmcp): a server_info health check and a multilingual greeting tool. Distroless static image, ~10MB, 0 known vulns.
Agentoom Knowledge is a self-hosted Knowledge Server that exposes trusted enterprise context through the Model Context Protocol (MCP). It provides a unified retrieval layer over heterogeneous knowledge sources, ensuring that AI agents receive the most relevant context without needing to understand the underlying infrastructure.
Build, edit and run real hosted websites from your AI - content, SEO, menus, publish with rollback.