Sponsored by Deepsite.site

Mcp Remote Ssh

Created By
faizbawaa month ago
MCP server giving AI agents full SSH access with secret-safe environment variable injection. Supports persistent sessions, structured command execution, SFTP file transfer, port forwarding, and automatic output redaction that prevents secrets from reaching the LLM.
Content

mcp-remote-ssh

PyPI Python License: MIT

MCP server giving AI agents full SSH access -- persistent sessions, structured command output, SFTP file transfer, port forwarding, and secret-safe environment variable injection with automatic output redaction.

Why this exists

Every other SSH MCP server is missing something: no password auth, no persistent sessions, no SFTP, no port forwarding, or no structured exit codes. This one has all of them -- plus the only MCP-level secret management that prevents AI agents from ever seeing your credentials.

Secret-Safe Environment Variables

The problem: When an AI agent needs to use API tokens, passwords, or keys on a remote server, the standard approach exposes secrets in the LLM's context window. The agent either reads the secret file (now it's in the conversation) or runs echo $TOKEN and sees the value in the output.

The solution: ssh_load_env_file reads secrets from a local file on your machine, injects them into the remote SSH session, and registers them for automatic output redaction. The AI agent can use the variables freely -- every tool response is scrubbed before it reaches the LLM.

# Agent calls this -- file is read from YOUR machine, not the remote host
ssh_load_env_file(session_id="abc", file_path="~/.secrets/prod.env")
→ "Loaded 3 variables from local:~/.secrets/prod.env: API_TOKEN, DB_PASS, SECRET_KEY"

# Agent tries to echo the value -- redacted automatically
ssh_execute(session_id="abc", command="echo $API_TOKEN")
→ {"stdout": "***\n", "exit_code": 0}

# Agent dumps the environment -- all secret values scrubbed
ssh_execute(session_id="abc", command="env | grep API_TOKEN")
→ {"stdout": "API_TOKEN=***\n", "exit_code": 0}

# Agent reads a file containing a secret -- also redacted
ssh_read_remote_file(session_id="abc", remote_path="/etc/app/config")
→ "db_password=***\ndb_host=localhost\n"

# Normal commands work perfectly -- no over-redaction
ssh_execute(session_id="abc", command="uname -a")
→ {"stdout": "Linux server 6.1.0 ...", "exit_code": 0}

How it works

┌─────────┐         ┌──────────────────────────────┐         ┌─────────────┐
│   LLM   │ ←─JSON─ │   MCP Server (your machine)  │ ──SSH─→ │ Remote Host │
│ (Agent) │         │                              │         │             │
└─────────┘         │  1. Reads ~/.secrets/prod.env│         └─────────────┘
                    │  2. Parses KEY=VALUE pairs   │
                    │  3. Stores values in memory  │
                    │  4. Injects into SSH session │
                    │  5. Redacts ALL tool output  │
                    └──────────────────────────────┘
  1. Local file read -- the env file lives on your machine, never on the remote host
  2. Shell injection via builtins -- uses read -r VAR <<< 'value' && export VAR (no process tree exposure)
  3. Stdin-based exec injection -- ssh_execute feeds secrets via stdin to a bash wrapper, so they never appear in /proc/*/cmdline
  4. Automatic redaction -- every tool response (ssh_execute, ssh_shell_send, ssh_shell_read, ssh_read_remote_file) is scrubbed before reaching the LLM
  5. Longest-first matching -- prevents partial-match corruption (e.g., abc123 is replaced before abc)

Security properties

ThreatMitigated?How
Secret in LLM context windowYesOutput redaction replaces values with ***
Secret in remote process tree (shell)YesShell builtins (read/export) don't fork
Secret in remote process tree (exec)YesSecrets fed via stdin, never in /proc/*/cmdline
LLM tries cat on the env fileN/AFile is local-only, doesn't exist on remote
LLM tries echo $VARYesOutput is redacted
Encoded/transformed secret (base64)NoOnly literal matches are redacted
MITM on first SSH connectionAcceptedAutoAddPolicy used — see note below

Host key policy

This server uses Paramiko's AutoAddPolicy — unknown host keys are accepted without prompting. This is intentional for QE/lab environments where hosts are ephemeral (Beaker, cloud instances, CI machines). The trade-off:

  • Pro: Zero-friction connections to newly provisioned machines
  • Con: Vulnerable to MITM on the very first connection to an unknown host

If you operate on untrusted networks, consider wrapping connections through a VPN or SSH bastion with pre-distributed host keys. A host_key_policy parameter may be added in a future release for strict environments.

Env file format

Standard .env format:

# Comments are ignored
API_TOKEN=your-secret-token
DB_PASSWORD="quoted values work"
SECRET_KEY='single quotes too'
export ALSO_WORKS=yes

Installation

uvx mcp-remote-ssh        # or: pip install mcp-remote-ssh

Configuration

{
  "mcpServers": {
    "remote-ssh": {
      "command": "uvx",
      "args": ["mcp-remote-ssh"]
    }
  }
}

Tools (20)

Connection

ToolDescription
ssh_connectConnect with password, key, or agent auth. Returns session_id
ssh_list_sessionsList active sessions
ssh_close_sessionClose a session and release resources

Execution

ToolDescription
ssh_executeRun a command, returns {stdout, stderr, exit_code}
ssh_sudo_executeRun with sudo elevation

Interactive Shell

ToolDescription
ssh_shell_openOpen persistent shell (preserves cwd, env, processes)
ssh_shell_sendSend text (with optional Enter)
ssh_shell_readRead current output buffer
ssh_shell_send_controlSend Ctrl+C, Ctrl+D, etc.
ssh_shell_waitWait for a pattern or output to stabilize

Secrets Management

ToolDescription
ssh_load_env_fileLoad secrets from a local env file; values never returned to the LLM
ssh_clear_secretsClear redaction registry (values become visible again)

SFTP

ToolDescription
ssh_upload_fileUpload local file to remote host
ssh_download_fileDownload remote file to local machine
ssh_read_remote_fileRead a remote text file
ssh_write_remote_fileWrite/append to a remote file
ssh_list_remote_dirList directory with metadata

Port Forwarding

ToolDescription
ssh_forward_portCreate SSH tunnel (local -> remote)
ssh_list_forwardsList active tunnels
ssh_close_forwardClose a tunnel

Quick start

ssh_connect(host="server.example.com", username="admin", password="secret")
→ {"session_id": "a1b2c3d4", "connected": true}

ssh_load_env_file(session_id="a1b2c3d4", file_path="~/.secrets/prod.env")
→ "Loaded 2 variables: API_TOKEN, DB_PASS"

ssh_execute(session_id="a1b2c3d4", command="curl -H \"Authorization: Bearer $API_TOKEN\" https://api.example.com")
→ {"stdout": "{\"status\": \"ok\"}", "exit_code": 0}  # token used but never visible

ssh_shell_open(session_id="a1b2c3d4")
ssh_shell_send(session_id="a1b2c3d4", data="cd /opt && make -j$(nproc)")
ssh_shell_wait(session_id="a1b2c3d4", pattern="$ ", timeout=600)

ssh_upload_file(session_id="a1b2c3d4", local_path="config.yaml", remote_path="/etc/app/config.yaml")
ssh_forward_port(session_id="a1b2c3d4", remote_port=5432, local_port=15432)

Design

Built on Paramiko (SSH) + FastMCP (MCP protocol).

  • ssh_execute uses exec_command() for clean structured output with real exit codes
  • When secrets are loaded, ssh_execute feeds exports via stdin to a bash wrapper, then execs the actual command -- secrets never appear in the process tree
  • ssh_shell_* uses invoke_shell() for persistent interactive sessions
  • All blocking Paramiko calls run in run_in_executor to stay async
  • Shell keeps a 500KB rolling buffer for shell_read polling
  • Secret redaction uses longest-first string replacement across all output paths

License

MIT

Server Config

{
  "mcpServers": {
    "remote-ssh": {
      "command": "uvx",
      "args": [
        "mcp-remote-ssh"
      ]
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Amap Maps高德地图官方 MCP Server
RedisA Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Serper MCP ServerA Serper MCP Server
ChatWiseThe second fastest AI chatbot™
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Playwright McpPlaywright MCP server
CursorThe AI Code Editor
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Tavily Mcp
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
WindsurfThe new purpose-built IDE to harness magic
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。
DeepChatYour AI Partner on Desktop
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.