SSH MCP Server

SSH MCP Server

An advanced SSH session manager that allows Claude to establish and manage multiple SSH connections, execute remote commands, and monitor connection health through the Model Context Protocol.

Category
访问服务器

README

SSH MCP Server

Advanced SSH Session Manager for Model Context Protocol (MCP) with multi-session support and connection monitoring.

Features

  • Multi-Session Management: Create and manage multiple SSH connections simultaneously
  • Session Monitoring: Automatic connection health checks and timeout management
  • Command Execution: Execute commands on remote servers with timeout control
  • Session Persistence: Maintain long-running SSH sessions with metadata tracking
  • Automatic Cleanup: Intelligent session cleanup based on usage and timeouts

Installation

Prerequisites

  • Python 3.11+
  • UV package manager
  • Claude Desktop

Setup with UV

  1. Clone or download this project:
git clone <repository-url>
cd ssh_mcp
  1. Install dependencies:
uv sync
  1. Test the installation:
uv run python main.py

Claude Desktop Configuration

1. Locate Claude Desktop Config File

Windows:

%APPDATA%\Claude\claude_desktop_config.json

macOS:

~/Library/Application Support/Claude/claude_desktop_config.json

Linux:

~/.config/Claude/claude_desktop_config.json

2. Add MCP Server Configuration

Add the following configuration to your claude_desktop_config.json:

{
  "mcpServers": {
    "ssh-session-manager": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/ssh_mcp",
        "run",
        "python",
        "main.py"
      ],
      "env": {
        "PYTHONPATH": "path/to/ssh_mcp"
      }
    }
  }
}

Note: Replace path/to/ssh_mcp with the actual path to your project directory.

3. Restart Claude Desktop

After saving the configuration, restart Claude Desktop to load the MCP server.

Available Tools

ssh_connect

Create a new SSH connection session.

Parameters:

  • host (string): SSH server hostname or IP address
  • username (string): SSH username
  • password (string): SSH password
  • port (int, optional): SSH port (default: 22)
  • session_name (string, optional): Custom session name

Example:

Connect to my server using ssh_connect with host="192.168.1.100", username="admin", password="mypassword"

ssh_execute

Execute a command in an existing SSH session.

Parameters:

  • session_id (string): ID of the SSH session
  • command (string): Command to execute
  • timeout (int, optional): Command timeout in seconds (default: 30)

Example:

Execute "ls -la" command in session "ssh_12345678"

ssh_list_sessions

List all active SSH sessions.

Example:

Show me all active SSH sessions

ssh_session_info

Get detailed information about a specific SSH session.

Parameters:

  • session_id (string): ID of the SSH session

Example:

Get information about session "ssh_12345678"

ssh_close_session

Close a specific SSH session.

Parameters:

  • session_id (string): ID of the SSH session to close

Example:

Close SSH session "ssh_12345678"

ssh_close_all_sessions

Close all active SSH sessions.

Example:

Close all SSH sessions

Configuration Options

Session Manager Settings

You can modify the session manager settings in main.py:

ssh_manager = SSHSessionManager(
    max_sessions=5,        # Maximum number of concurrent sessions
    session_timeout=600    # Session timeout in seconds (10 minutes)
)

Security Considerations

  • Host Key Verification: Currently disabled for development. Enable proper host key verification for production use.
  • Password Storage: Passwords are not stored persistently but remain in memory during the session.
  • Network Security: Use this tool only on trusted networks.

Usage Examples

Basic SSH Connection

Connect to server 192.168.1.100 with username "admin" and password "mypass"

Execute Multiple Commands

1. Connect to my server at example.com with username "user" and password "pass"
2. Execute "whoami" command
3. Execute "df -h" command  
4. Show session information

Session Management

1. List all active sessions
2. Close session with oldest connection
3. Show remaining sessions

Dependencies

  • asyncssh>=2.21.0: Asynchronous SSH client library
  • mcp[cli]>=1.9.2: Model Context Protocol framework
  • paramiko>=3.5.1: SSH client library (backup/compatibility)

Development

Project Structure

ssh_mcp/
├── main.py              # Main MCP server implementation
├── pyproject.toml       # Project configuration and dependencies
├── uv.lock             # Dependency lock file
├── README.md           # This file
└── run_mcp.bat         # Windows batch script for easy execution

Running in Development Mode

# Run the MCP server directly
uv run python main.py

# Or use the batch script (Windows)
run_mcp.bat

Adding New Features

  1. Modify the SSHSessionManager class in main.py
  2. Add new MCP tools using the @mcp.tool() decorator
  3. Update this README with new tool documentation

Troubleshooting

Connection Issues

  • Verify SSH server is accessible and credentials are correct
  • Check firewall settings and network connectivity
  • Ensure SSH service is running on the target server

Claude Desktop Integration

  • Confirm UV is installed and accessible from system PATH
  • Verify the project path in the configuration is correct
  • Check Claude Desktop logs for error messages
  • Restart Claude Desktop after configuration changes

Session Timeouts

  • Increase session_timeout value in the session manager
  • Check network stability for long-running sessions
  • Monitor session activity with ssh_list_sessions

License

This project is open source. Please refer to the license file for more information.

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues for bugs and feature requests.

Changelog

v0.1.0

  • Initial release
  • Multi-session SSH management
  • Basic command execution
  • Session monitoring and cleanup
  • Claude Desktop integration

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选