mcp-ssh-gateway
An MCP server that acts as a boundary agent, giving LLMs and automation systems controlled SSH-based access to remote machines for tasks like administration, diagnostics, and security research.
README
mcp-ssh-gateway
mcp-ssh-gateway is an MCP-native boundary agent for remote operational capability.
It gives LLMs and automation systems controlled arms and legs into selected remote machines through SSH-based connections. Those machines may provide shell access, specialized hardware, local tools, storage, network adjacency, compute capacity, or access to isolated infrastructure.
The gateway is useful for work such as systems automation, remote administration, diagnostics, troubleshooting, penetration testing, offensive security research, and AI-assisted operational workflows.
The project is not a general orchestration platform, not a replacement for configuration management systems, and not an unrestricted remote shell broker. It is a narrow operational boundary between orchestration systems and real environments.
Core Idea
LLMs are good at reasoning, planning, and interpreting complex output. Real systems require tools, hardware, shell access, network locality, and execution environments.
mcp-ssh-gateway bridges those worlds.
The gateway owns SSH identities, connection configuration, capability discovery, capability caching, execution logging, and transport mechanics. The orchestrator receives operational capability through MCP tools, but does not directly manage passwords, private keys, target addresses, or network topology.
The orchestrator gets capability, not custody.
Architectural Shape
LLM / MCP client
↓
FastMCP tool surface
↓
mcp-ssh-gateway
├── node registry
├── connection pool
├── execution logging
└── transport orchestration
├── direct SSH
└── reverse tunnel SSH
↓
remote node environments
Each configured node represents a trusted operational arm into a remote environment. The gateway manages SSH identities, connections, and execution, and exposes those capabilities back through MCP tools.
This allows an LLM to inspect available nodes, select the most appropriate machine for a task, and coordinate workflows across multiple remote systems.
MCP Tools
| Tool | Description |
|---|---|
get_node_status |
List all nodes and their connection states |
get_node_info |
Get detailed node facts (use refresh=true for explicit manual refresh) |
get_agent_public_key |
Retrieve the agent's SSH public key for node enrollment |
add_node |
Deprecated. Enroll a new direct-mode node via password bootstrap. Kept only for existing test harnesses — do not call it from an MCP client or LLM workflow, since that would mean typing a real SSH password into a model prompt. Use the CLI instead. |
enable_node |
Enable a node (use validate=true to probe connectivity) |
disable_node |
Disable a node and close its connection |
remove_node |
Remove a node from the pool and registry |
run_command_on_node |
Execute a command on a named node |
upload_file_to_node |
Upload a file to a named node via SFTP |
download_file_from_node |
Download a file from a named node via SFTP |
Connection Modes
Direct Mode
Direct mode is used when the remote machine is reachable from the gateway.
The gateway opens outbound SSH connections directly to the target. This is the simpler model and works well for internal infrastructure, VPN-connected environments, trusted networks, and static lab environments.
Reverse Tunnel Mode
Reverse tunnel mode is used when the remote environment is not directly reachable from the gateway.
In this model, the remote machine initiates connectivity toward the gateway, exposes its local SSH service through a reverse tunnel, and the gateway connects back through the exposed local port.
This is useful for NATed environments, outbound-only infrastructure, headless devices, remote labs, and restricted networks.
The current configuration value is still:
{
"mode": "tunnel"
}
The documentation uses “reverse tunnel mode” to describe the operational model clearly.
Runbooks and Skills
The gateway is intended to work together with runbooks, skills, procedures, and higher-level orchestration systems such as Open WebUI, n8n, OpenClaw, or other MCP-compatible clients.
The gateway provides operational reach. The orchestrator provides reasoning and workflow composition.
Paired with runbooks and skills, an LLM can plan larger workflows and execute them through real environments while keeping actions visible and attributable.
Current Implementation Status
The project is in an active implementation phase.
Implemented:
- MCP startup and full node-lifecycle tool surface (see MCP Tools above)
- node registry and connection pool with direct SSH via Paramiko
- node enrollment via password bootstrap (
add_node) - agent SSH identity generation and key retrieval (
get_agent_public_key) - node handshake — facts collection via
resources/node/handshake.sh - structured command execution, SFTP upload, and SFTP download
- reverse tunnel probing through already-exposed local ports
Evolving:
- capability discovery and normalized capability cache
- execution history model
- task routing support
Not yet implemented:
- full agent-side reverse tunnel SSH listener
- end-to-end reverse tunnel establishment lifecycle
- advanced capability orchestration
Documentation must continue to distinguish implemented behavior from intended architecture.
Build and Test
python -m pip install --upgrade pip
python -m pip install -e .
python -m pip install pytest
pytest
Run
The current startup path expects a valid connection configuration file.
python app.py --connection-config ./connections.json
Provisioning a Node (CLI)
Why a CLI, and not the add_node MCP tool. add_node takes an SSH
password as a tool argument. For that to work, the password would have to
pass through whatever is calling the tool — typically an LLM. No operator
should type a real credential into a model prompt, and no model should be the
thing asking for one. The CLI below is the channel where a human enters
credentials directly, in their own terminal: the password never becomes part
of any conversation, log line, or file on disk.
Prerequisites
- Python with the project's dependencies installed (
pip install -e .; see Build and Test above).paramikoandcryptographyare required. - Network reachability from this machine to the target node's SSH port.
- The target's current SSH password for the account you want the agent
to use (e.g.
pi,root, a dedicated service account). This password is used exactly once, to install a public key — it is not the credential the gateway will use going forward.
Run it
python -m agent.cli add-node
Run it from the repository root (or point --agent-key-dir /
--connection-config at absolute paths — see below). With no flags, it asks
you for everything it needs, one prompt at a time:
- Node name — a unique identifier for this node inside the gateway
(e.g.
pi-lab,build-box-3). This is what you'll refer to it as inrun_command_on_nodeand friends. - Host — hostname or IP address.
- Port — SSH port (blank defaults to
22). - Username — the SSH account on the target (blank defaults to
pi). - SSH password — read with
getpass, so it is never echoed to the terminal and never lands in shell history. This is the only prompt that cannot be skipped with a flag.
Every field except the password can also be passed as a flag, so the non-secret parts can be scripted or come from a checklist:
python -m agent.cli add-node --name pi-lab --host 10.0.0.5 --port 22 --user pi
(You'll still be prompted for the password — there is no --password flag,
by design.) Add --non-interactive to make the command fail fast instead of
prompting if --name/--host/--port/--user are missing — useful in
scripts that want to fail loudly rather than hang waiting for input.
What it does, step by step
- Creates the agent key directory and the connections-config directory if they don't already exist.
- Generates the agent's ed25519 SSH keypair in the key directory, if one
isn't already there (reused across all nodes — this is the gateway's own
identity, not a per-node key). On Windows, file permissions cannot be
restricted to POSIX
0600; the CLI reports this plainly and continues — it is a platform limitation, not a failure. - Connects to the target once, using the password you entered, and installs
the agent's public key into that account's
~/.ssh/authorized_keys(idempotent — safe to re-run against a host that already has the key). - Opens a fresh, key-based connection to prove the installed key
actually works, then runs a trivial remote command (
echo ...) over it and checks the output — so "provisioned" means "confirmed working", not just "we didn't get an error." - Appends the new node to
connections.json(or wherever--connection-configpoints), in the exact shape the gateway already reads —{name, user, id_file, mode, port, host}. If that file already existed, it's backed up first, next to itself, asconnections.json.bak-<timestamp>. - Prints the exact MCP client config block for this gateway, using the
real, resolved paths on your machine — ready to paste into your MCP
client's config (e.g. Claude Desktop's
claude_desktop_config.json, or an equivalentmcpServersblock).
What to paste, and where
The command prints something like:
{
"mcpServers": {
"ssh-gateway": {
"command": "C:\\Python312\\python.exe",
"args": [
"C:\\mcp-ssh-gateway\\app.py",
"--transport", "stdio",
"--agent-key-dir", "C:\\mcp-ssh-gateway\\keys",
"--connection-config", "C:\\mcp-ssh-gateway\\connections.json"
]
}
}
}
Paste the "ssh-gateway": {...} block (or the whole thing, if this is your
first server) into your MCP client's server-config file, under its
mcpServers key.
If the gateway is already running: it loaded connections.json at
startup and will not see the newly added node until it is restarted. The
CLI does not restart it for you — restart the process yourself once you're
ready to pick up the new node.
How to verify it worked
The CLI itself already does the real verification for you — step 4 above opens a genuine key-based SSH connection and runs a command through it, and the final line of output says either:
Result: NODE PROVISIONED AND VERIFIED.
or a clearly-labeled warning if the follow-up command check was inconclusive (this can still mean the node is fine — e.g. an unusual shell on the target — but it's called out rather than silently reported as success).
To double-check independently after restarting the gateway, use the
get_node_status or get_node_info MCP tools (or run_command_on_node
against the new node's name) once the client is connected.
Node parameters, in short
| Field | Meaning |
|---|---|
--name |
Unique identifier for the node inside the gateway. |
--host |
Hostname or IP address of the target. |
--port |
SSH port (default 22). |
--user |
SSH username on the target. |
--mode |
Connection mode. Only direct is currently supported (matches the gateway's own add_node bootstrap logic). |
--agent-key-dir |
Where the agent's SSH keypair lives. Defaults to keys/ under the repo root. |
--connection-config |
Path to the connections.json-shaped file to update. Defaults to connections.json under the repo root. |
Documentation
- Documentation writing/governance standard:
docs/DOCUMENTATION_GUIDE.md - Architecture boundaries and system model:
docs/ARCHITECTURE.md - Testing intent and boundary enforcement:
docs/TESTING_STRATEGY.md - Architectural decisions record:
docs/ARCHITECTURAL_DECISIONS.md - Edge connectivity guidance:
docs/EDGE.md - Developer workflow:
docs/DEVELOPER.md - Security and trust model:
docs/SECURITY.md - Contribution guide:
docs/CONTRIBUTING.md
License
Apache 2.0.
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