"How to create Grafana dashboards" matching MCP servers:

Self-hostable remote terminal assistance over MCP. Agents create one-command connection invitations, execute commands, and manage interactive sessions on user-authorized macOS, Linux, and Windows computers without requiring an SSH daemon.

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.

An MCP server that enables agents to run commands interactively in live terminal panes a user can watch and type in, and to list, create, read from, and send keys to any session, window, or pane.

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.

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.

Lets AI coding agents read an outline of a large file or a digest of noisy command output instead of the full text, while every hidden line stays retrievable on disk through a run handle. Agents can request only the line ranges, slices, or grep matches they need and list recent runs, cutting token spend without losing information.

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.

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 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.

Lets an AI assistant drive AMD/Xilinx Vivado without the GUI to create projects, build block designs, synthesize, implement, simulate, read reports, and generate bitstreams. Includes first-class Red Pitaya STEMlab 125-14 support for RTL and PS+PL builds and SSH deployment.

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.

A universal SQLite database management tool that enables SQL query execution through MCP protocol. Supports SELECT/INSERT/UPDATE/DELETE/CREATE operations with built-in SQL injection protection across stdio, SSE, and streamable-http communication modes.

Enables a ChatGPT MCP connection to read, create, and modify text files in explicitly shared folders across multiple self-hosted computers, and to run PowerShell or sh terminal commands under separate per-device authorization.

Enables AI clients to list, create, update, run, pause, resume, and delete scheduled shell-script jobs, pass inputs, and read job outputs and message feed entries.

Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.

A starter MCP server using StdioServerTransport, providing example tools to check which app runs on a port (macOS) and add two numbers.

Apple Reminders CLI and MCP server with section support and iCloud sync — the only tool that can create, manage, and sync sections across devices

Exposes every non-interactive GNU screen operation as MCP tools, letting an assistant list, create, send commands or files to, capture output from, clean up, and kill sessions. Works transparently for sessions on the local machine or on remote hosts reachable over SSH, using the recorded host registry, so remote sessions need no special transport.