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Mcp Remote Ssh

faizbawa/mcp-remote-ssh · 12 stars · Python · MIT

MCP server 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.

Install

The repo has no one-line install. Follow its README.

Open the repo

Files

README.md

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, session transcript recording, 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

Threat Mitigated? How
Secret in LLM context window Yes Output redaction replaces values with ***
Secret in remote process tree (shell) Yes Shell builtins (read/export) don't fork
Secret in remote process tree (exec) Yes Secrets fed via stdin, never in /proc/*/cmdline
LLM tries cat on the env file N/A File is local-only, doesn't exist on remote
LLM tries echo $VAR Yes Output is redacted
Encoded/transformed secret (base64) No Only literal matches are redacted
MITM on first SSH connection Accepted AutoAddPolicy 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

Session transcripts

Recording is off by default. Enable it per session when you need an audit log of what the agent actually ran — useful for bug reproductions and test campaigns.

# Start recording on connect
ssh_connect(host="lab.example.com", username="root", password="...", record=True)

# Or toggle later
ssh_start_recording(session_id="a1b2c3d4")
ssh_execute(session_id="a1b2c3d4", command="uname -a")
ssh_get_transcript(session_id="a1b2c3d4")
→ {"recording": true, "total_entries": 2, "transcript": "[12:01:02] --- connect: lab.example.com ---\n[12:01:05] $ uname -a\nLinux ...\n[exit 0]"}

ssh_save_transcript(session_id="a1b2c3d4", path="/tmp/lab-session.log")
ssh_stop_recording(session_id="a1b2c3d4")
  • Execute/sudo output and shell send/read I/O are secret-redacted before they are recorded
  • Closing the session discards the in-memory transcript — ssh_save_transcript or ssh_get_transcript first

Installation

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

Configuration

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

Tools (24)

Connection

Tool Description
ssh_connect Connect with password, key, or agent auth. Optional record=True to start a transcript immediately. Returns session_id
ssh_list_sessions List active sessions
ssh_close_session Close a session and release resources

Execution

Tool Description
ssh_execute Run a command, returns {stdout, stderr, exit_code}
ssh_sudo_execute Run with sudo elevation

Interactive Shell

Tool Description
ssh_shell_open Open persistent shell (preserves cwd, env, processes)
ssh_shell_send Send text (with optional Enter)
ssh_shell_read Read current output buffer
ssh_shell_send_control Send Ctrl+C, Ctrl+D, etc.
ssh_shell_wait Wait for a pattern or output to stabilize

Secrets Management

Tool Description
ssh_load_env_file Load secrets from a local env file; values never returned to the LLM
ssh_clear_secrets Clear redaction registry (values become visible again)

Transcripts

Tool Description
ssh_start_recording Start recording execute/sudo/shell I/O for this session
ssh_stop_recording Stop recording; transcript stays available until the session is closed
ssh_get_transcript Return the transcript as text or JSONL (last_n optional)
ssh_save_transcript Write the transcript to a local file on the MCP host

SFTP

Tool Description
ssh_upload_file Upload local file to remote host
ssh_download_file Download remote file to local machine
ssh_read_remote_file Read a remote text file
ssh_write_remote_file Write/append to a remote file
ssh_list_remote_dir List directory with metadata

Port Forwarding

Tool Description
ssh_forward_port Create SSH tunnel (local -> remote)
ssh_list_forwards List active tunnels
ssh_close_forward Close a tunnel

Quick start

ssh_connect(host="server.example.com", username="admin", password="secret", record=True)
→ {"session_id": "a1b2c3d4", "connected": true, "recording": 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
  • Session transcripts are in-memory, off by default, and discarded when the session is closed

License

MIT

Facts

Kind
MCP server
Repo
faizbawa/mcp-remote-ssh
Group
Uncategorized
Stars
12
License
MIT
Language
Python
Last push
2026-08-17
Forks
1
Topics
ai-agents, claude, cursor, mcp, mcp-server, model-context-protocol, paramiko, remote-execution, sftp, ssh, automation, devops, dotenv, environment-variables, llm-security, output-redaction, secret-management, security, ai-tools, remote-access

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