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SSH MCP Server

MCP Server

Secure SSH command execution via MCP protocol

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Updated 15 days ago

About

The SSH MCP Server bridges AI assistants with remote servers, enabling secure execution of SSH commands and file transfers without exposing credentials. It supports password or key authentication, command whitelisting/blacklisting, and SOCKS proxy.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

SSH‑MCP Server Overview

The ssh-mcp-server is a specialized Model Context Protocol (MCP) server that bridges AI assistants with remote SSH environments. By exposing a set of well‑defined tools—command execution, file upload/download, and server listing—it allows an AI model to interact with any SSH‑enabled host through a secure, standardized interface. The server keeps all authentication credentials on the local machine and never forwards them to the AI model, thereby mitigating the risk of credential leakage while still enabling powerful remote automation.

At its core, the server translates MCP requests into SSH operations. When an AI assistant issues a command via the tool, the server opens an SSH session using either password or key‑based authentication (including passphrase protection) and streams the command output back to the model. File operations are handled similarly, with and tools enabling bidirectional transfer of data between the local environment and the remote host. The tool provides a quick inventory of all configured SSH endpoints, making it easy for developers to discover and manage multiple remote targets from within a single MCP workflow.

Security is a primary focus. The server supports both blacklist and whitelist filtering of commands, allowing administrators to restrict the exact set of operations that an AI assistant may perform. This fine‑grained control is essential in production environments where unrestricted shell access could lead to accidental data loss or system compromise. Additionally, the server can route connections through a SOCKS proxy, enabling secure tunneling in environments that require traffic to pass through corporate firewalls or VPNs.

Developers can integrate the SSH‑MCP server into existing AI pipelines with minimal friction. Because it adheres strictly to MCP specifications, any assistant that understands the protocol can invoke remote commands without needing custom adapters. For example, a code‑generation assistant could compile and run tests on a remote build server, or an infrastructure bot could deploy updates across multiple hosts by issuing commands from a single prompt. The server’s lightweight nature—deployable via without global installation—makes it ideal for quick experimentation, CI/CD hooks, or sandboxed environments where rapid setup is valued.

In summary, the ssh‑mcp-server empowers AI assistants to perform authenticated SSH operations securely and reliably. Its command filtering, credential isolation, and file transfer capabilities make it a versatile tool for developers who need to automate remote tasks while maintaining strict security boundaries.