"Using Bing to Generate Search Results" matching MCP servers:

Enables AI agents to control and interact with a local Windows computer through authenticated MCP tools, including file operations, shell commands, process management, HTTP requests, and system/media inspection.

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.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

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

The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.

An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.

Enables MCP-compatible AI clients to connect to a Windows machine for file operations, PowerShell execution, Git inspection, task management, memory, and skills.

Maps shell commands to standard MCP tools using single-file YAML specs.

A lightweight stdio-only MCP server that allows AI agents to run multiple tasks (e.g., Python code, HTTP requests, shell commands) in parallel or with dependencies, returning structured results in a single call.

A CLI command execution server that enables running shell commands with structured output, providing detailed execution results including stdout, stderr, exit code, and execution duration.

MCP server providing Git-related functionalities, primarily a tool to generate diffs for Git merge commits against their first parent.

Using MCP to run code via e2b.

A desktop launcher and local MCP workspace server that enables ChatGPT and other MCP clients to securely read, edit, search, run commands, and show changes in selected local project folders.

A lightweight MCP server for file manipulation, code searching, and shell command execution, with optional semantic search using local embeddings.

Provides AI agents with an unrestricted VPS root shell by executing arbitrary shell commands and returning structured results such as exit code, stdout, stderr, timeout, and truncation status.

Enables a remote omp client to invoke the host omp's tools over HTTP using the MCP protocol, with no LLM API calls on the host.

A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.

Turns Markdown files into local MCP servers, enabling users to define and run tools using simple Markdown syntax with zero dependencies.

The fastest, most capable filesystem MCP server built in Rust, giving AI agents superpowers to read, search, edit, and manage files and directories.

Enables AI agents to run shell commands over SSH on a fixed, pre-registered set of Linux machines, returning structured results with audit logging, enforced timeouts, output limits, and explicit registry management. It also supports safe file upload/download and multi-host command execution.