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SSH MCP Server - AI manages remote servers via SSH. Multi-server, SFTP zero-token transfer, SOCKS5 proxy, jump host, 2FA, async transfer with progress.
SSH MCP Server - AI manages remote servers via SSH. Multi-server, SFTP zero-token transfer, SOCKS5 proxy, jump host, 2FA, async transfer with progress.
npm version MCP Registry License: MIT
Let AI manage your remote servers. A Model Context Protocol (MCP) server that gives AI assistants full SSH access — execute commands, transfer files, manage multiple servers simultaneously, all through natural conversation.
You: "Deploy the latest build to production server"
AI: connects → uploads build → restarts service → verifies status
server_idhost:port as temp IDnpm install -g @nl4ever/sshmcp
claude mcp add sshmcp sshmcp
Edit claude_desktop_config.json:
{
"mcpServers": {
"sshmcp": {
"command": "npx",
"args": ["-y", "@nl4ever/sshmcp"]
}
}
}
Go to Settings → MCP Servers → Add:
{
"sshmcp": {
"command": "npx",
"args": ["-y", "@nl4ever/sshmcp"]
}
}
| Tool | Description |
|---|---|
list_servers |
List all configured servers and active connections |
get_server |
View server config details |
add_server |
Add/update server config (password, key, agent, OTP) |
update_server |
Modify server config (only pass fields you want to change) |
delete_server |
Remove a server |
rename_server |
Rename a server ID |
connect |
Manually connect (usually not needed, tools auto-connect) |
quick_connect |
Temporary connection, returns host:port as ID |
disconnect |
Disconnect specific server or all connections |
test_connection |
Test connectivity without affecting existing connections |
| Tool | Description |
|---|---|
execute |
Run shell commands on remote server (with configurable timeout) |
| Tool | Description |
|---|---|
read_file |
Read remote file content (with optional line range) |
write_file |
Write text content to remote file |
upload_file |
Upload local file to remote (supports async mode) |
upload_directory |
Upload directory with auto compress → transfer → decompress |
download_file |
Download remote file to local (supports async mode) |
download_directory |
Download directory with remote compress → transfer → local decompress |
transfer_status |
Check progress of async transfers (size/speed/ETA) |
| Tool | Description |
|---|---|
list_proxies |
List all SOCKS proxy presets |
add_proxy |
Add SOCKS4/5 proxy preset |
delete_proxy |
Remove a proxy preset |
All operation tools take a server_id parameter. The connection pool auto-manages connections — no manual connect/disconnect needed:
AI: execute(server_id="prod", command="nginx -s reload") ← auto-connects to prod
AI: execute(server_id="dev", command="tail -f /var/log/app.log") ← auto-connects to dev, prod stays
AI: execute(server_id="prod", command="curl localhost") ← reuses prod connection
For temporary servers, use quick_connect which returns host:port as the ID:
AI: quick_connect(host="1.2.3.4", username="root", password="***")
→ "Connected: [email protected]:22, use server_id="1.2.3.4:22""
AI: execute(server_id="1.2.3.4:22", command="df -h")
AI: disconnect(server_id="1.2.3.4:22")
For large files, enable background transfer mode to avoid blocking:
AI: upload_file(server_id="prod", local_path="big.tar.gz", remote_path="/data/", async_transfer=true)
→ "Background upload started: tf_1"
AI: transfer_status("tf_1")
→ "🔄 Uploading: 638.2 MB / 1.2 GB (53.2%) — 12.4 MB/s, ETA 46s"
AI: transfer_status("tf_1")
→ "✅ Upload complete: 1.2 GB, 98s, 12.3 MB/s"
Small files use synchronous mode by default — no config needed.
AI: add_server(server_id="prod", name="Production", host="10.0.0.1", username="deploy", password="***")
AI: execute(server_id="prod", command="systemctl status nginx")
AI: add_server(server_id="aws", name="AWS EC2", host="ec2-xx.compute.amazonaws.com", username="ubuntu", private_key="~/.ssh/id_rsa")
AI: quick_connect(host="192.168.1.100", username="root", password="***")
→ server_id="192.168.1.100:22"
AI: execute(server_id="192.168.1.100:22", command="df -h")
AI: disconnect(server_id="192.168.1.100:22")
AI: add_proxy(proxy_id="tunnel", name="SSH Tunnel", host="127.0.0.1", port=1080, type="5")
AI: add_server(server_id="internal", ..., proxy="tunnel")
AI: add_server(server_id="bastion", name="Bastion", host="bastion.example.com", username="admin", private_key="~/.ssh/id_rsa")
AI: add_server(server_id="internal", name="Internal DB", host="10.0.0.5", username="dbadmin", password="***", jump_host="bastion")
Server and proxy configurations are stored in:
~/.ssh-mcp/config.json
Passwords are stored in plaintext. For production use, prefer private key authentication.
MIT
Выполни в терминале:
claude mcp add nikolanddtesla-ssh-mcp-server -- npx Безопасность
Низкий рискАвтоматическая эвристика по публичным данным — не гарантия безопасности.