"Arch Linux" matching MCP servers:

Enables AI assistants to read Oracle Linux Virtualization Manager and oVirt inventory through the engine REST API, including VMs, hosts, and related details. It provides read-only tools for searching and retrieving VMs and KVM hosts.

Enables natural language management of GitHub Actions Runner Controller (ARC) in Kubernetes clusters. Supports automated installation, scaling, monitoring, and troubleshooting of GitHub Actions runners through conversational AI commands.

Enables AI agents to pre-flight estimate query costs, enforce hard budgets, reconcile actual billed spend, and suggest cheaper rewrites across BigQuery, Snowflake, and Databricks.

A thin, deterministic MCP hub for SAP BTP that routes connections to multiple SAP systems behind one login, preserving per-user identity.

Enables Claude to read, search, send, label, and trash emails in any Gmail account via Google's Gmail API, using OAuth2 authentication with automatic token refresh.

A local MCP server for inspecting and operating Linux VPS deployments through restricted SSH.

MCP server that enables interaction with Talos Linux clusters via gRPC API, supporting cluster management, monitoring, configuration, and resource inspection.

Bridges AI models with the ARC enterprise framework, enabling documentation search, API integration, code generation, and deployment assistance for cloud-native application development.

MCP server for Talos Linux cluster operations, providing typed actions for cluster configuration, bootstrap, kubeconfig, and more via talosctl.

Enables auditing or configuring a registered Linux origin as a single Cloudflare-fronted 3x-ui/Xray WebSocket node through a fixed 31-tool MCP contract.

Provides 43 tools for complete Supabase control including database operations, storage management, authentication, edge functions, and admin tasks through an HTTP API designed for n8n integration.

Enables ChatGPT to create, manage, and execute commands in ephemeral isolated Linux sandboxes on Railway, with file operations and checkpointing.

Provides full execution and management capabilities for Microsoft Fabric Data Engineering workloads, including notebooks, pipelines, Lakehouses, and Spark jobs. It enables users to trigger runs, monitor status, manage workspace items, and configure job schedules through natural language.