"terminal" matching MCP servers:

An MCP server that gives AI agents terminal execution, Python scripting, file management, and code search tools so they can carry out real development tasks. It exposes bash, Python, glob, grep, and file/folder operations over MCP for coding assistants and codebase exploration.

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

MCP server that gives AI agents real interactive terminal sessions for running REPLs, SSH, database clients, and any interactive CLI with clean text output and smart completion detection.

Enables MCP clients to start and control Owner-approved local POSIX subprocess sessions over stdio, with cursor-based output reads, input writes, status checks, termination, and resource/time limits.

A lightweight MCP server that enables AI assistants to interact with the local machine through terminal, filesystem, and Python execution tools.

An MCP server that gives Jan AI terminal and code execution capabilities, enabling shell commands, multi-language code execution, file manipulation, and git operations locally.

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

A unified remote terminal management server that simplifies complex SSH connections and server management through MCP protocol, allowing users to control multiple remote servers with natural language commands as easily as local operations.

Enables AI assistants to execute bash commands, run Python code, manage files, search the web, interact with Git, and perform system administration tasks through the Model Context Protocol.

An MCP server that allows AI assistants like Claude to execute terminal commands on the user's computer and return the output, functioning like a terminal through AI.

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.

Enables AI agents to execute terminal commands and Python scripts, search and manage files, and create or delete folders through the Model Context Protocol.

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Bridges Claude Desktop to local Windows 10 development environments to enable repository reading, documentation searching, and isolated code execution. It provides a secure interface for running allowlisted terminal commands and scripts directly through natural language.

Allows Claude to execute terminal commands on your computer and perform file system operations including surgical code editing with diff-based replacements.

Enables AI agents to control VSCode workspaces, including file operations, terminal commands, search, and workspace management.

An MCP server that gives an agent terminal and file-management capabilities, including running shell/Python commands, searching and reading files, and creating/editing/deleting files and folders.

A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.

A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.

An MCP server built with FastMCP that provides basic terminal abilities like running commands, running Python, and working with files and folders.