"Non-Docker Implementation of Jira with MCP" matching MCP servers:

A powerful Model Context Protocol (MCP) server for Docker operations, enabling seamless container and compose stack management through Claude AI.

Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.

Enables AI assistants like Claude to manage Docker containers, images, and Docker Compose deployments through the Model Context Protocol. Provides secure container lifecycle management, image operations, and multi-host Docker server connections.

Connects ChatGPT Web to a self-hosted local coding workbench, enabling file editing, shell commands, Git/GitHub operations, multi-workspace management, code review, terminal processes, checkpoints, and optional Docker sandboxing.

Provides tools for obtaining system CPU and memory statistics through FastAPI endpoints exposed via MCP.

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

Clones the OpenCode workbench installation onto Linux machines — locally or over SSH — reproducing the same OpenCode config, MCP servers, agent skills, plugins, and Docker tooling. Exposes 6 tools over stdio.

Enables AI agents to capture and analyze screenshots of macOS applications, windows, or the entire screen using local (Ollama) or cloud-based AI vision models, with non-intrusive, fast screen capture via Apple's ScreenCaptureKit.

Enables LLMs to capture screenshots and screen recordings through MCP with chunked session-based transfers for reliable image consumption. Supports multi-monitor selection, timeline capture, and compatibility with both vision and non-vision language models.

A virtual Linux desktop as an MCP server, shipped in Docker. Agents drive screen, mouse, keyboard across any GUI — browsers, IDEs, office suites, Wine/Windows apps, legacy software — many in parallel.

MCP server for managing FeiNiu fnOS NAS via AI chat. Supports system status, Docker container operations, and disk information retrieval.

Enables AI agents to safely monitor Linux VPS health, inspect Docker containers, retrieve service logs, and execute whitelisted recovery actions via MCP.

Gives AI agents safe, bounded, non-blocking access to Linux sysadmin inspection tasks, including CPU, RAM and disk healthchecks, memory-safe log tailing with regex filtering, and user-level systemd service and timer auditing. All operations run without sudo or unrestricted root shells, avoiding interactive pager hangs and context window flooding.

All-in-one homelab management MCP server. Docker monitoring, volume backup/restore (with compose and env files), Wake-on-LAN, network scanning, and multi-server SSH management.

MCP server for Webmin system administration. 61 tools across 12 modules covering system monitoring, services, users, cron, packages, files, storage (SMART + LVM), security (Fail2ban), MySQL databases, Webmin ACL, and disk quotas. Four-tier safety framework with safe mode on by default. Python, MIT license, Docker and local deployment supported.

Enables Claude to monitor and manage homelab infrastructure including Docker containers, OPNsense firewall, and TrueNAS storage with configurable capability levels from read-only monitoring to full management control.

Enables seamless SSH operations including secure connections, file transfers, interactive shell sessions, and Docker container management on remote servers. Supports both password and SSH key authentication with credential management and connection pooling.

Lets Claude manage Linux servers and Docker over SSH or locally, with previews and approval before every change.

Your sysadmin co-pilot — an AI that administers Linux through typed, approval-gated, Ed25519-audited actions instead of shell strings. Reference implementation of the LACS standard.

Enables safe scanning and cleaning of macOS developer caches and temporary files, with dry-run support and strict refusal to delete non-whitelisted locations.