"How to browse the internet" matching MCP servers:

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

MCP server that gives AI assistants full visibility into your tmux sessions — browse sessions, windows, and panes, read terminal output, and send commands.

AgentBridge is a local MCP server that lets Claude Code delegate coding tasks to external CLI workers like Codex and Antigravity. It assembles structured prompts, runs the workers with git snapshotting, and returns compact structured results without running its own models.

A Model Context Protocol server that enables AI clients to interact with virtual Ubuntu desktops, allowing them to browse the web, run code, and control instances through mouse/keyboard actions and bash commands.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

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

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.

The Yeepay MCP service provides integration with Yeepay services 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).

Enables LLM clients to execute shell commands safely through the MCP protocol, with features like session management, safe mode, and process control.

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

An MCP server that enables LLMs to compile LaTeX documents and inspect the resulting PDF, supporting an autonomous write-compile-check-revise loop via a self-hosted Overleaf CLSI instance.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

A VSCode and Cursor extension that captures real-time terminal output and exposes it to AI assistants via the Model Context Protocol. It enables agents to proactively monitor logs, command execution, and errors without requiring manual copy-pasting from the user.

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 the OrcaSlicer CLI to enable AI agents to slice 3D models, run parameter sweeps, and analyze G-code.

Exposes the HyperDbg hypervisor-assisted, ring-0 debugger to LLM agents, enabling low-level debugging operations with safety features like read-only mode and confirmation gates.

Provides MCP tools to read local Timing.app activity data, generate aggregated time entries, and push them to the Timing Web API.

A CLI agent that controls Spotify through natural language commands, leveraging the Model Context Protocol to separate Spotify tools from the LLM client, and supporting multiple AI providers like Groq, Gemini, and OpenAI.

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