MCP Ssh Orchestrator
rating : 2.5 points
downloads : 6.3K
What is MCP SSH Orchestrator?
MCP SSH Orchestrator is a security framework that allows AI assistants (such as Claude and ChatGPT) to manage your servers under strict security policies. It provides declarative access control, audit logs, and a zero-trust security model to ensure that AI can only perform approved operations.How to use MCP SSH Orchestrator?
Quickly deploy it via Docker, configure the server inventory, credentials, and security policies, and then connect to your MCP client. The AI assistant can then securely perform server management tasks within the scope allowed by the policies.Applicable scenarios
Suitable for home lab automation, DevOps teams, security engineers, and platform engineers who need to let AI assistants assist in managing server infrastructure while maintaining security control.Main features
Zero-trust security model
Reject all operations by default. Only explicitly allowed commands can be executed to prevent unauthorized access.
Declarative policy control
Define allowed commands, server access permissions, and network control rules through a YAML configuration file.
Complete audit logs
Record the timestamp, executed commands, source IP address, and results of all operations for easy security auditing.
Multi-client support
Support Claude Desktop, Cursor, and any clients compatible with the MCP protocol.
Asynchronous task management
Support long-running tasks, and monitor the progress and obtain real-time output.
Tag-based server management
Group servers by tags and execute commands and manage them in batches.
Advantages
Prevent the execution of dangerous commands (such as rm -rf /)
Network isolation to prevent lateral movement
Complete operation audit tracking
Easy to deploy and configure
Support real-time monitoring and progress tracking
Comply with the OWASP LLM Top 10 security standards
Limitations
Initial configuration of security policies is required
Only support management via the SSH protocol
Dependent on the compatibility of MCP clients
Basic Docker knowledge is required for deployment
How to use
Environment preparation
Create a configuration directory and download the example configuration file
Configure servers and credentials
Edit the servers.yml and credentials.yml files and add your server information and SSH keys
Deploy the Docker container
Run MCP SSH Orchestrator using Docker
Configure the MCP client
Configure the MCP server connection in Claude Desktop or Cursor
Usage examples
Server status check
Let the AI assistant check the system status and resource usage of multiple servers
Log analysis
Quickly view application logs to troubleshoot problems
Service management
Safely restart or check the service status
Batch operations
Perform the same maintenance tasks on multiple servers
Frequently Asked Questions
Is this tool safe? Will it allow the AI to execute dangerous commands?
Which AI clients are supported?
Is programming knowledge required to use it?
How to add a new server?
Can I cancel a task that is being executed?
How to view operation records?
Related resources
GitHub repository
Source code, issue tracking, and latest releases
Complete documentation Wiki
Detailed usage guides, configuration instructions, and architecture documentation
Usage case manual
Actual usage scenarios and step-by-step guidance
Docker image
Official Docker image repository
MCP protocol specification
Official documentation of the Model Context Protocol

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