"How to Create Looker Dashboards" matching MCP servers:

MCP server for DTS Engine 6.1 that enables agents to create, validate, and run 3D digital-twin tile publishing pipelines from shapefiles, photogrammetry, DEM/DOM, BIM, and point clouds, with tools for pipeline introspection, error resolution, and OSGB publishing.

Enables AI assistants to monitor and manage Linux infrastructure including services, logs, processes, disk, memory, ports, cron, nginx, Docker, and system health checks via the Model Context Protocol.

An MCP server that enables AI assistants to interact with the Taskwarrior command-line task management tool. It allows users to list, create, modify, and organize tasks using projects, tags, and annotations through natural language.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.

Allows AI assistants to create, manage, and interact with tmux sessions, windows, and panes programmatically.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

An MCP server for 7-Zip archive operations (list, extract, create) with dual-engine architecture and sandbox security features. Note: currently a learning project and not yet functional.

Enables management of Sprite VMs through interactive dashboards and terminal interfaces. It allows users to execute commands, create filesystem snapshots, transfer files, and manage VM lifecycles via natural language.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Wraps Quartus II 9.1 command-line tools into MCP tools, enabling AI agents to create projects, assign pins, generate simulation waveforms, run simulations, compile, read reports, and program devices.

An MCP server that lets AI agents manage virtual machines across local and cloud targets, with tools to create machines, run commands, transfer files, and clean up ephemeral instances via natural language.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

ssh-mcp-pro is a secure Model Context Protocol (MCP) server for SSH automation, enabling clients to open SSH sessions, run commands, manage files, transfer artifacts, create tunnels, and perform package/service operations under policy control.

Leverages Vim's native text editing commands and workflows, which Claude already understands, to create a lightweight code assistance layer.

A command-line tool that enables the use of MCP with the Room protocol, allowing agents to create and interact in peer-to-peer virtual rooms for goal-oriented collaboration.

Enables AI agents to run shell commands, execute Python code, read and write files, search text, and create or delete folders through MCP stdio tools.

Enables AI agents to execute terminal commands and Python scripts, search and manage files, and create or delete folders through the Model Context Protocol.

Command-line interface for the TokPortal API, enabling users to programmatically create, configure, and publish social media bundles across TikTok, Instagram, and YouTube.

Exposes conda environment management tools to MCP-enabled AI coding assistants, enabling them to create, modify, and delete environments and packages on your machine.

AI-powered command execution and tool plugin framework with secure Python evaluation, knowledge management, and web dashboards.