Ssh Tools MCP
An SSH tool based on the MCP protocol that supports remote server connection and command execution
rating : 2 points
downloads : 17
What is SSH Tools MCP?
SSH Tools MCP is a tool based on the Model Context Protocol (MCP) that allows you to connect to remote servers and perform operations, such as running commands or monitoring GPU status, via simple commands.How to use SSH Tools MCP?
You can connect to a remote server and execute commands in just a few steps. The operation is simple and efficient.Applicable scenarios
It is suitable for users who need to frequently access remote servers for task management, performance monitoring, or automated script execution.Main features
Connect to an SSH serverSupports connecting to remote servers via IP address or hostname.
Execute remote commandsYou can run any command on the connected server, such as nvidia-smi or other system tools.
Disconnect from the SSH connectionEnsure a secure exit from the session and release resources.
Advantages and limitations
Advantages
Simple to operate and easy to get started
Supports the execution of multiple remote commands
Automatically handles SSH connection status
Limitations
Requires the server to support password authentication
Does not support key authentication (current version)
How to use
Install dependencies
First, install the required Python dependency packages.
Start the server
Run the SSH server to start receiving connection requests.
Connect to the server
Enter the server's IP address, username, and password.
Execute commands
Run any required commands on the connected server.
Disconnect
Remember to disconnect after completing the task to release resources.
Usage examples
Example 1: Connect to a serverDemonstrate how to connect to a remote server.
Example 2: Run nvidia-smiMonitor GPU status.
Example 3: DisconnectDisconnect from the remote server.
Frequently Asked Questions
How to ensure that the server allows SSH password authentication?
What will happen if I forget to disconnect?
Does it support key authentication?
Related resources
Official documentation
Detailed installation and usage guides.
GitHub code repository
Source code and the latest updates.
Video tutorial
Quickly learn how to use SSH Tools MCP.
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points