"GNOME Terminal" matching MCP servers:

Enables execution of terminal commands, git operations, and automated setup of React, Vue, and Next.js projects with VSCode integration.

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

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

Enables AI clients to perform sandboxed filesystem, directory, Ubuntu system, network, git, and code/text operations through 38 typed tools confined to a workspace. Ships with a browser-based web console that provides an interactive Linux terminal, a live tool playground, and real-time CPU, memory, and disk monitoring.

Enables interaction with Bitbucket Cloud pull requests, comments, diffs, and pipelines from the terminal via Claude Code.

An MCP execution layer that lets capable AI models safely control a developer workstation for file edits, terminal and process execution, Git operations, language-server analysis, browser and Windows UI automation, media processing, job/resource control, and checkpointing. It also coordinates durable single- or multi-agent tasks across providers with leases, dependency graphs, evidence logs, repair loops, and separate verification gates.

Enables executing terminal commands and managing files across different contexts: local system, remote SSH servers, and GitHub repositories. Provides comprehensive file operations, directory navigation, and multi-environment command execution capabilities.

Enables terminal-based Git graph viewing and commit/range selection, while exposing bounded Git context such as status, diff, history, and search to MCP clients over local stdio with a read-only default workflow.

Enables Claude AI to run terminal commands, perform file operations, and manage git in a project directory via the Model Context Protocol.

Self-hosted Linux server control integration that lets remote MCP clients authenticate through persistent OAuth and invoke file, patch, command, terminal, Git, and image tools. Clients can also subscribe to targeted, signed event notifications for experimental event-driven workflows.

Enables AI chat clients to securely access and manage local files, run terminal commands, work with Git repositories, and read AGENTS.md instructions and skills via a stateless Streamable HTTP MCP server.

Exposes a Windows or Linux host terminal to remote MCP clients via Streamable HTTP, enabling command execution, tunnel management, and privileged operations with security features like OAuth and audit logging.

A free, open-source MCP server that gives AI agents real filesystem, terminal, git, and process control over your machine for inspection, diagnosis, and repair.

Enables Claude Code to orchestrate a team of independent Claude Code sessions within iTerm2 for parallel task execution and isolated git worktree management. It provides tools to spawn, monitor, and message worker sessions while maintaining full visibility and control over their terminal windows.

Enables AI agents to work with developer tools such as git, npm, Docker, and test runners through structured, schema-validated JSON outputs. Reduces token usage and eliminates fragile terminal text parsing for reliable cross-platform workflows.

Provides MCP servers that wrap common developer tools (git, npm, docker, etc.) returning structured JSON output, enabling AI agents to reliably interact with these tools without parsing fragile terminal text.

Enables AI agents to interact with common developer tools such as Git, npm, Docker, and test runners by returning schema-validated JSON instead of raw terminal text. This reduces brittle parsing errors and token usage while providing typed data agents can act on directly.

Gives ChatGPT Web hands on your Mac — files, git, terminal, browser, and windows via MCP, with outbound-only tunnel and delete protection.

Exposes a running VS Code instance to AI agents via MCP, enabling file operations, LSP diagnostics, terminal commands, Git workflows, and refactoring.

Enables AI agents to invoke common developer tools — git, GitHub, npm, Python, cargo, Docker, Kubernetes, linters, and test runners — and receive schema-validated structured JSON instead of raw terminal text. This removes brittle string parsing and cuts token usage dramatically on verbose commands like builds, installs, and test runs.