"Using mcp-proxy to bridge a remote SSE server to a stdio server" 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.

Enables AI clients to run commands, read and write files, inspect status, and manage mounts on remote Linux servers over a standard MCP interface.

Pre-alpha P2P remote-control app with a local stdio MCP bridge for paired computers. Users build from source; platform support and host-side approvals apply.

Enables interaction with remote MCP servers using SSE transport instead of STDIO for enhanced communication capabilities.

Diagnoses proxy misconfigurations that break AI coding tools like Cursor, VS Code, and Windsurf.

A MCP Proxy (Local <-> SSE) with token based authentication.

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.

Executes privileged commands with mandatory human approval via a TUI prompt, supporting local and remote execution through sudo.

Enables AI coding tools to read, write, search, and list files on remote machines and run commands there, including background long-running jobs and TTY-based interaction, all through a single persistent SSH connection. Bypasses the cost of establishing a new SSH session on every call, cutting typical multi-step remote operations from seconds to milliseconds.

reference MCP server over STDIO — every SDK feature demonstrated

An MCP server that lets you execute commands, manage files, run persistent shell sessions, transfer large files, and control background processes on remote machines via a lightweight HTTP agent, useful when SSH/WinRM/SMB are unavailable.

Enables ChatGPT to access a remote computer or server via an outbound-only agent, providing filesystem inspection, file editing, Git inspection, and optional shell execution through MCP.

Enables AI coding agents and MCP clients to securely execute shell commands, manage files, and access remote devices or SSH hosts through centralized authentication, routing, and auditing.

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

Enables Claude Agent SDK agents to safely operate a remote user machine via a WebSocket tunnel, providing six client__* MCP tools with path fencing and phase-switch adjudication.

A proxy server that enables AI assistants to run and interact with command-line applications like Expo through the Model Context Protocol (MCP), capturing logs and allowing keypress forwarding.

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.

Enables coding agents to treat a remote Linux host over SSH as a local working tree, exposing editor-semantics operations, background job management, artifact transfer, and guard hooks through MCP.

Execute commands on remote Linux servers through Claude with an interactive web terminal showing full output while Claude receives smart-filtered summaries for token efficiency. Supports multi-server management, SFTP file transfers, batch scripts, and automation recipes.

Enables dynamic SSH connection to servers for real-time JVM diagnostics using Arthas, allowing operations like thread dump, heap inspection, and method watching through MCP tools.

A local MCP server that proxies file and shell tools (Read, Write, Edit, Bash, etc.) to a remote Linux host over SSH, enabling MCP clients like Claude Code to operate on remote codebases.

Aggregates multiple Arthas agents into a single MCP server, allowing Claude to diagnose any number of Java processes with just one MCP configuration.

Enables AI assistants to execute SSH commands and transfer files to and from remote servers, supporting remote server management and seamless session transfer to a VPS.

Enables remote command execution on SSH hosts (NAS, Linux, VPS) through an HTTP+SSE server, allowing users to run shell commands and receive results via the ssh.exec tool.

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

Enables AI assistants to manage remote servers via SSH with agentless command execution, file operations, and service management.

Enables AI clients to manage remote Linux workspaces over OpenSSH, including file read/write/edit, glob/grep search, shell command execution, and background job management, with authentication handled interactively in a terminal.

Connects an MCP client to a remote Linux/Unix host over SSH, enabling remote shell commands, file access, port forwarding, and VS Code Remote-SSH URI generation.

Manage local/SSH/WinRM remote hosts via MCP, providing tools for exec, filesystem, screen, process, serial console, and configuration.