"Two agents working simultaneously" matching MCP servers:

A transport-agnostic MCP server that integrates multiple AI coding agents (Claude Code, Gemini, and Codex) with built-in tools for command execution, calculations, and streaming capabilities. Supports both STDIO and HTTP transports for flexible deployment.

A unified MCP-compatible system for controlling fleets of remote machines through AI agents.

Enables AI agents to execute SSH commands, read files, and list directories on remote hosts with a configurable command-safety policy.

A throwaway Docker sandbox for agents to run code and shell commands safely.

A local MCP server that lets Hermes supervise Claude Code, delegating focused coding, research, or review tasks to the Claude Code CLI and managing worker sessions, background jobs, cancellations, and read-only reviews.

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

A self-hosted MCP server providing a governed interface for AI agents to interact with local Docker infrastructure, featuring a two-phase confirm protocol for state-changing operations and append-only audit logging.

Enables MCP-compatible AI clients to securely monitor and manage a self-hosted Linux VPS over SSH, including service status, disk and RAM usage, TLS certificate expiry, fail2ban summaries, and two-step confirmed service restarts or IP unbans.

Enables management of visible, interactive terminal sessions across platforms (macOS, Windows, Linux, WSL). Supports creating, executing commands, capturing output, and managing multiple terminal windows simultaneously.

Enables execution of bash commands via MCP, allowing clients to run shell commands and set a working directory.

An MCP server that enables the execution of arbitrary bash commands and returns detailed output including stdout, stderr, and exit codes. It supports customizable working directories, execution timeouts, and environment variable configurations.

Enables management of multiple MikroTik RouterOS devices over SSH via two tools: device listing and command execution.

Enables executing Bash commands, pipelines, and scripts across Windows, macOS, and Linux via MCP, with support for multiple runtimes, timeouts, working directories, and stream capture.

An MCP server that wraps Flutter CLI tools into structured, agent-friendly tools for AI coding agents, with features like two-phase test results, output capping, and managed app lifecycle.

Enables LLMs to run read-only show commands on Cisco IOS/IOS-XE and Nexus switches over SSH, with a two-account model for privilege separation and a fail-closed allowlist for safety.

Enables AI coding agents in Cursor, Claude Code, Cline, and similar editors to halt repetitive failed edits after two consecutive attempts and instead gather falsifiable evidence such as git status, dirty diffs, and locked-port checks before writing more code. It also supervises wrapped shell commands, terminating hung prompts and orphaned process trees so agents can restore a clean, testable baseline.

A lightweight MCP server that acts as a secure proxy for AI assistants to run local Git operations and GitHub API macros simultaneously.

A Model Context Protocol server that exposes a tool to execute shell commands on the host machine, with customizable working directory and timeout.

Enables AI assistants to operate a DrayTek Vigor 3912S router through the full DrayOS CLI, with read-only tools by default and two-step confirm-gated writes. It also provides SQLite audit logging and safety controls like host-key pinning and command blocklists.

Enables spawning ephemeral Linux sandbox containers using Docker and executing commands through an interactive TTY interface. Supports collaborative terminal sessions where both AI clients and humans can simultaneously interact with the same container.