ssh-mcp MCP Server
io.github.gelse/ssh-mcp
Centralized MCP gateway for controlled SSH access with per-client auth, command policies, and audit logging.
What is the ssh-mcp MCP server?
The ssh-mcp server is a centralized HTTP gateway that gives AI agents controlled SSH access to remote servers. It replaces per-client SSH processes with a single authorization layer, providing command policies, rate limiting, connection pooling, and structured audit logging. All clients connect via Streamable HTTP with API key authentication.
ssh-mcp solves the problem of SSH key sprawl and lack of centralized access control when multiple AI agents need SSH access. Instead of each agent managing its own SSH keys and processes, they connect to a single HTTP gateway that enforces command policies, rate limits requests, pools connections, and logs all activity. This is useful for teams running multiple AI agents that need controlled, auditable access to infrastructure.
How to install ssh-mcp
Copy-paste configuration for popular MCP clients.
CONFIG_DIRDirectory containing ssh-mcp-config.json
LOG_DIRDirectory for JSONL audit logs
CONFIG_API_ENABLEDEnable the configuration REST API and web dashboard
CONFIG_API_TOKENsecretBearer token for the configuration API
Tools & capabilities
Tools this server exposes to the agent.
ssh_list_servers— List configured SSH targetsssh_list_allowed_commands— Show allowed commands for a targetssh_execute_command— Execute a command on a remote serverssh_check_connection— Test SSH connectivity to a targetssh_download_file— Download a file via SFTPssh_upload_file— Upload a file via SFTP
Use cases
- Execute commands on remote servers with centralized authorization and audit logging
- Manage SSH access for multiple AI agents without key sprawl or per-client processes
- Enforce command policies and rate limits to prevent runaway agents from overwhelming infrastructure
- Download and upload files via SFTP with sandboxed path restrictions
- Monitor and troubleshoot SSH connectivity issues across multiple targets
- Implement layered authorization rules based on API key, network, and target
ssh-mcp MCP server FAQ
ssh-mcp is a centralized HTTP gateway that provides AI agents with controlled SSH access to remote servers. Instead of each agent managing its own SSH keys and processes, they connect to a single gateway that enforces command policies, rate limiting, connection pooling, and audit logging.
Yes, ssh-mcp is open source under the MIT license and available as a pre-built Docker image at ghcr.io/gelse/ssh-mcp.
Pull the pre-built Docker image (ghcr.io/gelse/ssh-mcp:latest) and run it with docker compose. Create a config file defining SSH targets and command policies, generate an API key hash, and the server will be available at http://localhost:9080/mcp.
Clients connect to http://host:9080/mcp using the Streamable HTTP transport, passing their API key via the X-API-Key or Authorization: Bearer header.
ssh-mcp uses API key authentication for clients and supports per-key authorization rules. It also supports per-network allowlists and a 9-layer authorization chain to enforce command policies.
Yes, ssh-mcp writes structured JSONL audit logs that trace every command, client, IP, and authorization decision. Logs are written to the /logs volume with optional gzip rotation.
README (reference)
Source of truth, from the repository.
ssh-mcp
A centralized MCP gateway that gives AI agents controlled SSH access over Streamable HTTP.
What problem does this solve?
Most MCP SSH servers run as local stdio processes — one per client, with no shared state, no centralized authorization, and no audit trail. When multiple AI agents need SSH access, each manages its own SSH keys and runs its own process. This creates:
- No centralized access control — every client decides what it can run
- No audit trail — commands are invisible to the ops team
- SSH key sprawl — keys scattered across every agent machine
- No rate limiting — a runaway agent can overwhelm a target
ssh-mcp solves this by deploying a single HTTP gateway. All clients connect to it; it connects to your SSH targets. Authorization, rate limiting, connection pooling, and audit logging happen in one place.
Quick Start
Using the pre-built image (recommended)
docker compose pull
docker compose up -d
The image is published at ghcr.io/gelse/ssh-mcp:latest.
The compose file maps host port 9080 to container port 8080.
Verify the server is running:
curl http://localhost:9080/health
# → {"status": "ok"}
Create a minimal config in config/ssh-mcp-config.json:
{
"version": 1,
"ssh_targets": {
"my-server": {
"host": "10.0.1.10",
"username": "deploy"
}
},
"allowed_commands": {
"default": [
{
"targets": ["*"],
"commands": ["hostname", "uptime", "free", "df"]
}
]
}
}
Generate an API key hash and add it to your config or
secrets.json (see Configuration).
make build
docker compose up -d --build
</details>
What you can do (tools)
Six MCP tools are available over Streamable HTTP:
| Tool | Description |
|---|---|
ssh_list_servers | List configured SSH targets |
ssh_list_allowed_commands | Show allowed commands for a target |
ssh_execute_command | Execute a command on a remote server |
ssh_check_connection | Test SSH connectivity to a target |
ssh_download_file | Download a file via SFTP |
ssh_upload_file | Upload a file via SFTP |
Tool Naming Convention
All tools follow the pattern ssh_<verb>_<noun>:
ssh_list_servers— list resourcesssh_list_allowed_commands— list permissionsssh_execute_command— perform an actionssh_check_connection— verify connectivityssh_download_file/ssh_upload_file— file transfer
See examples/README.md for usage examples
including curl commands and Python client code.
What's configurable
ssh-mcp is configured via JSON files with hot-reload (15 s poll, 2 s debounce). Key areas:
| Area | Details |
|---|---|
| SSH targets | Host, port, username, key, password |
| Command policies | Block patterns, per-key/network allowlists |
| Connection pool | Max connections, idle timeout, concurrency |
| Rate limiting | Per-IP sliding window (default 60 req/min) |
| Logging | JSONL with rotation, gzip, multiple targets |
| SFTP | Sandbox root, path length limits |
Full reference: docs/CONFIGURATION.md
| File | Purpose |
|---|---|
ssh-mcp-config.json | Main config |
config.schema.json | JSON Schema for validation |
secrets.json | Passwords and API key hashes |
MCP_SSH_* env vars | Overrides for any setting |
Why not just raw SSH / other MCP servers?
ssh-mcp adds a layered authorization chain (9 ordered layers) between every client request and every SSH command. Per-API-key and per-network rules let different agents get different permissions on different servers — without touching the underlying SSH accounts.
Additional protections:
- Circuit breakers isolate failing targets with exponential backoff
- Rate limiting prevents runaway agents from overwhelming hosts
- Structured audit logs trace every command, client, IP, and authorization decision
- Connection pooling reuses SSH sessions across requests
- Input sanitization and dangerous-pattern detection block shell injection attempts
Architecture: ARCHITECTURE.md
Security model: docs/SECURITY.md
What it is NOT
- Not an interactive shell — commands are executed individually with structured output
- Not a file manager — SFTP supports single-file download and upload only (no directory listing or recursive transfer)
- Not a firewall / network ACL — authorization is command-level, not network-level
- Does not reduce SSH account privileges — if a command is allowed, the SSH user executes it with whatever privileges that account has
Not yet / known gaps
Fixable with contribution:
- SFTP is single-file only — no directory listing or recursive transfer
- No TLS termination — run Traefik or nginx in front
- No OAuth or mTLS app-layer authentication
- Rate limiter settings are not hot-reloadable (set at boot)
Architectural:
- Config API dashboard login sessions are in-memory only — they don't survive restarts and the API is single-instance (config changes themselves persist to the config file normally)
- No tamper protection for audit logs
Observability
- Health:
GET /health— returns{"status": "ok"} - Metrics:
GET /metrics— Prometheus exposition format - Logging: Structured JSONL with request correlation
Full reference: docs/OBSERVABILITY.md
Config API & Dashboard
An optional web dashboard for managing configuration without
editing JSON files. Enable with CONFIG_API_ENABLED=true.
Full reference: docs/CONFIG-API.md
FAQ
Dashboard returns 401 over HTTP
The session cookie defaults to Secure (HTTPS only). For local
HTTP testing, set:
environment:
- CONFIG_API_SESSION_COOKIE_SECURE=false
Then restart the container.
How do MCP clients connect?
Connect to http://host:9080/mcp using the Streamable HTTP
transport. Pass your API key via X-API-Key or
Authorization: Bearer header.
How do I generate an API key hash?
docker compose exec mcp-ssh python -c \
"from lib.crypto import hash_api_key; print(hash_api_key('your-key'))"
# → pbkdf2:sha256:100000$<salt>$<hash>
Or use the hash utility in the Config API dashboard.
How does hot reload work?
The config file is polled every 15 seconds with a 2-second debounce. Changes to targets, commands, and settings take effect without restart. Rate limiter and log target settings require a restart.
Why was my command denied?
Commands are evaluated through a 9-layer authorization chain.
The matched_via field in logs shows which layer denied.
See Security Model for the full chain.
How does rate limiting work?
Per-IP sliding window, default 60 requests per 60 seconds.
Exceeding the limit returns HTTP 503. Configure via
settings.rate_limit in the config file.
Where do logs go?
Logs are written to the /logs volume (mapped from ./logs).
The active log file is ssh-mcp.log in JSONL format with
optional gzip rotation.
Troubleshooting basics
# Check server health
curl http://localhost:9080/health
# Validate config
make config-test
# Check logs
docker compose logs mcp-ssh
Documentation
| Document | Description |
|---|---|
ARCHITECTURE.md | System design and data flow |
docs/SECURITY.md | Security model and threat analysis |
docs/CONFIGURATION.md | Full config reference |
docs/CONFIG-API.md | Config API & dashboard |
docs/OBSERVABILITY.md | Health, metrics, logging |
CONTRIBUTING.md | Development and contribution guide |
CHANGELOG.md | Release history |
examples/ | Config examples and client code |
Development
# Unit tests
make test
# Integration tests (builds Docker image)
make integrationtest
See CONTRIBUTING.md for the full development
guide, coding conventions, and PR workflow.
Roadmap
No public roadmap. See Not yet / known gaps for current limitations and opportunities.
License
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