MCP Remote Ssh
SSH access with persistent sessions, SFTP and port forwarding, with secrets injected via stdin and redacted from output before reaching the LLM.
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
mcp-remote-ssh
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 │
└──────────────────────────────┘
- Local file read -- the env file lives on your machine, never on the remote host
- Shell injection via builtins -- uses
read -r VAR <<< 'value' && export VAR(no process tree exposure) - Stdin-based exec injection --
ssh_executefeeds secrets via stdin to a bash wrapper, so they never appear in/proc/*/cmdline - Automatic redaction -- every tool response (
ssh_execute,ssh_shell_send,ssh_shell_read,ssh_read_remote_file) is scrubbed before reaching the LLM - Longest-first matching -- prevents partial-match corruption (e.g.,
abc123is replaced beforeabc)
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_transcriptorssh_get_transcriptfirst
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_executeusesexec_command()for clean structured output with real exit codes- When secrets are loaded,
ssh_executefeeds exports via stdin to abashwrapper, thenexecs the actual command -- secrets never appear in the process tree ssh_shell_*usesinvoke_shell()for persistent interactive sessions- All blocking Paramiko calls run in
run_in_executorto stay async - Shell keeps a 500KB rolling buffer for
shell_readpolling - 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
Questions fréquentes
Qu'est-ce que MCP Remote Ssh ?
SSH access with persistent sessions, SFTP and port forwarding, with secrets injected via stdin and redacted from output before reaching the LLM.
Comment installer MCP Remote Ssh ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
MCP Remote Ssh est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient MCP Remote Ssh ?
Il est publié par faizbawa. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.