"How to retrieve live data using a terminal command" matching MCP servers:

BTC Decision Terminal for AI Agents — live vault-backed Hyperliquid signals, on-chain proof, cross-chain swap. MCP server hosted at https://hypernatt.com/mcp/protocol. 11 tools. Verify in real time.

A secure terminal execution server that enables controlled command execution with security features and resource limits via the Model Context Protocol (MCP).

A server that enables AI assistants to execute terminal commands and retrieve outputs via the Model Context Protocol (MCP).

A proxy server that enables AI assistants to run and interact with command-line applications like Expo through the Model Context Protocol (MCP), capturing logs and allowing keypress forwarding.

A secure server for executing terminal commands within predefined paths, allowing safe interaction by Large Language Models with operating system environments.

Enables secure remote and local command execution via SSH, with session management and environment variable support.

A Model Context Protocol server that enables remote execution of shell commands across different operating systems, automatically handling platform-specific differences between Windows and Unix-like systems.

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.

This server enables Claude to execute shell commands, read and edit files, and perform git operations on the host machine via a remote MCP endpoint.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Interactive, persistent terminal sessions for AI assistants via Model Context Protocol.

Enables executing bash commands with foreground/background support, timeouts, environment control, and OpenTelemetry observability.

Enables an agent to run shell commands through a JupyterLab/JupyterHub-hosted terminal, using REST API and WebSocket via Selenium for session handling, when SSH is not available.

Provides AI agents with persistent, interactive pseudo-terminal sessions for running CLI tools, SSH, and AWS SSM, including support for prompts, concurrent commands, and a live web TUI.

Enables Gemini Spark to securely connect via full OAuth 2.1 and use 30+ terminal, file, web, Git, and system management tools through MCP.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables AI agents to fetch live multi-chain portfolio, token info, gas prices, and token prices across Ethereum, Base, Polygon, Arbitrum, and Optimism with a single call. No API key required.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

MCP server for the loc8n Geographic Data API. Exposes U.S. demographics, housing, mortgage, migration, employment, and geographic data as tools.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.