"Using mcp-proxy to bridge a remote SSE server to a stdio server" matching MCP servers:

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

reference MCP server over STDIO — every SDK feature demonstrated

A security-first MCP server that gives AI assistants controlled, safe access to manage remote servers via SSH with whitelisted operations and no generic command execution.

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.

Enables AI tools like Claude to interact with a remote machine's file system and shell via a secure HTTPS endpoint. It provides standardized tools for executing shell commands, reading and writing files, and navigating directories.

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

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

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.

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.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

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

A Model Context Protocol server that enables remote execution of shell commands across different operating systems, automatically handling platform-specific differences between Windows and Unix-like systems.

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.

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.

Bypasses Claude Desktop sandbox network restrictions by providing tools to fetch any URL, execute network-capable CLI commands (yt-dlp, curl, ffmpeg), and read files created by those tools.

A secure SSH-based MCP server for diagnosing remote servers. It allows AI agents to execute read-only commands and read files automatically, while requiring user confirmation for write operations.

A Model Context Protocol server that gives any AI full control over a Windows PC, enabling application control, mouse/keyboard automation, screen capture, browser automation, and more.

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.

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.