SSH MCP Server
SSH MCP Server
Permite a los clientes de IA operar tu servidor de forma segura — un servidor MCP basado en SSH
Ejecuta comandos y transfiere archivos en remoto a través de herramientas MCP estandarizadas, e incluye una consola de administración web y una aplicación de bandeja para Windows.
Qué puede hacer
Conecta clientes de IA compatibles con el protocolo MCP, como Claude Code y Cursor, a tu servidor SSH, y la IA podrá:
⚙️ Ejecutar comandos — operación y mantenimiento remotos, diagnóstico de logs, gestión de servicios
📤 Subir / 📥 descargar archivos — distribución de configuraciones, extracción de logs, reanudación de transferencias de archivos grandes
🖥️ Gestión de múltiples máquinas — árbol de tres niveles: proyecto → entorno → host; configura una vez y úsalo en todas partes
Dos modalidades de uso, elige según tus necesidades:
Forma | Adecuado para |
CLI / paquete npm | Úsalo como servidor MCP stdio con cualquier cliente MCP, ligero y listo para usar |
Aplicación de escritorio Windows (recomendada) | Residente de bandeja puro + consola web integrada + autoactualización en línea, sin dependencia de Node.js |
Related MCP server: sshops
✨ Características principales
Capacidades de conexión
🔐 Varias autenticaciones: contraseña / clave privada (incluidas las cifradas) / SSH Agent / 2FA por teclado interactivo
🔗 Proxies SOCKS5 y HTTP(S) para atravesar redes de salto
🚄 Doble modo de transporte:
exec— un canal por comando, hosts Linux estándarshell— sesión persistente + protocolo de marcado, adecuado para bastiones / servidores de salto
⏱️ Tiempos de espera (conexión / comando / SFTP) configurables de forma independiente; los archivos grandes usan fastPut/fastGet con división en fragmentos y concurrencia
Políticas de seguridad
Listas blancas / negras de comandos (expresiones regulares), filtrado de doble capa a nivel de host y global
Listas blancas de rutas locales y remotas para limitar el alcance de la transferencia de archivos
Registros de auditoría completos: comandos, salidas y registros de transferencia trazables
Consola de administración web
Gestión visual de tres niveles (proyecto, entorno y host), conexiones ordenables por arrastrar y soltar
Prueba de conexión, importación/exportación masiva JSON, reutilización automática de
~/.ssh/configCopias de seguridad programadas con instantáneas y restauración con un clic; registro con un clic para clientes MCP (como Claude Code)
Temas claro y oscuro, que siguen al sistema
Aplicación de escritorio para Windows
🎯 Un solo exe residente en la bandeja: servicio SSH, servidor MCP y sitio estático de administración integrados, sin dependencia de Node.js
Inicio automático al encender, permanencia al apagar; «Abrir página de administración» abre el navegador predeterminado del sistema
🔄 Autoactualización en línea: verificación de firma integrada con minisign, detección automática de nuevas versiones y actualización silenciosa
📸 Vista de la interfaz
Gestión de conexiones — árbol de tres niveles para administrar todos los hosts:
Página del sistema — estado del servicio y registro de clientes MCP con un clic:
🚀 Inicio rápido
Opción 1: Aplicación de escritorio para Windows
Descarga e instala SSH-MCP-Server_x.x.x_x64-setup.exe desde Releases. Tras iniciarla, permanecerá en la bandeja del sistema; en el menú de la bandeja, «Abrir página de administración» te lleva a la consola web.
Las actualizaciones posteriores para usuarios ya instalados se completan automáticamente, sin necesidad de intervención manual.
Opción 2: Paquete npm (servidor MCP stdio)
# 全局安装
npm install -g @sieop/ssh-mcp-serverRegístralo en tu cliente MCP (por ejemplo, Claude Code):
claude mcp add ssh-server -- ssh-mcp-server --host your.server.com --username root --password YOUR_PWDO escribe directamente la configuración JSON:
{
"mcpServers": {
"ssh-server": {
"command": "npx",
"args": ["-y", "@sieop/ssh-mcp-server", "--host", "your.server.com", "--username", "root", "--password", "YOUR_PWD"]
}
}
}También admite archivos de configuración y modo de múltiples conexiones; consulta docs/migration.md y la ayuda de la CLI (--help).
Opción 3: Compilar desde el código fuente
git clone https://github.com/SIE-Operations-and-Maintenance-Team/ssh-mcp-server.git
cd ssh-mcp-server && npm install
npm run build # 构建 Node 版
npm test # 运行测试
npm --prefix admin-web install && npm --prefix admin-web run build # 构建管理台前端
npm run tauri:build # 构建 Windows 桌面应用(需 Rust 工具链)🧰 Resumen de herramientas MCP
Herramienta | Descripción |
| Ejecuta comandos de forma remota, con cambio de directorio, tiempo de espera y límites de salida, sujeto a listas blancas/negras |
| Transferencia de archivos SFTP, concurrencia fragmentada para archivos grandes, validación de listas blancas de rutas |
| Enumera todas las conexiones disponibles |
🏗️ Arquitectura
┌─ Windows 桌面应用(Tauri 2 纯托盘单 exe)──────────────────┐
│ │
│ SSH 连接池 ── MCP StreamableHTTP (/mcp) │
│ │ │
│ Admin API (/admin/api/*) ── 内嵌静态站点 (/admin/) │
│ │
└────────────────── 系统默认浏览器打开管理页 ────────────────┘
Node 版(npm 包):stdio MCP Server + 可选 --admin 启动同一套 Web 管理台Módulos clave: src/services/ssh-connection-manager.ts (núcleo SSH), src/server/ (servicio de administración Fastify), src-tauri/ (carcasa de escritorio en Rust), admin-web/ (consola de administración en React).
📋 Más documentación
Guía de uso y migración — configuración de integración para cada cliente
📄 Licencia
ISC © SIE Operations and Maintenance Team
Este proyecto se origina a partir de classfang/ssh-mcp-server, sobre el cual se ha reestructurado y ampliado.
Available Tools
5 toolsdownloadC
Download file from connected server
| Name | Required | Description | Default |
|---|---|---|---|
| localPath | Yes | Local path | |
| remotePath | Yes | Remote path | |
| connectionName | No | SSH connection name (optional, default is 'default') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only states that a file is downloaded from a connected server; it does not mention that localPath will be written, files may be overwritten, or that a valid connectionName is needed. This is a significant gap for a tool with side effects on the local filesystem.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler words. However, it may be underspecified for a tool that writes to the local filesystem, so it is not maximally effective.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 3-parameter tool with no output schema and no annotations, the description is incomplete. It omits behavioral details such as overwrite behavior and default connection semantics (though connectionName is documented in the schema). An agent would need to infer several operational aspects beyond what is given.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already contains descriptions for all three parameters (localPath, remotePath, connectionName), and schema coverage is 100%. The description adds no additional parameter-level meaning, so the baseline score applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the precise operation ('Download file') and the source ('from connected server'), clearly identifying it as a remote-to-local transfer. It is distinct from siblings like upload, execute-command, and list-directory, though it does not explicitly distinguish itself by name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as upload or list-directory. The description merely restates the operation and leaves the agent to infer selection criteria from the tool name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
execute-commandB
Execute command on connected server and get output result
| Name | Required | Description | Default |
|---|---|---|---|
| timeout | No | Command execution timeout in milliseconds (optional; overrides the connection's commandTimeoutMs or shellCommandTimeoutMs, which defaults to 30000ms) | |
| cmdString | Yes | Command to execute | |
| directory | No | Working directory for command execution | |
| connectionName | No | SSH connection name (optional, default is 'default') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of behavioral disclosure. It only says commands are executed and output is returned; it fails to mention that this can run arbitrary, potentially destructive commands on the server, how timeouts or working directories affect execution, or what the output result contains (e.g., stdout, stderr, exit code).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single efficient sentence that front-loads the core action and outcome with no redundant words. It is concise and well-structured, though it could have included more behavioral context without becoming bloated.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a powerful command-execution tool with four parameters and no output schema, the description is incomplete. It does not explain return values, failure modes, side effects, or how parameters like directory and connectionName influence execution. Given the potential for destructive commands, more context is necessary for safe and correct use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides 100% description coverage for all four parameters, including default behavior for timeout and connectionName. The description text adds no additional parameter meaning, but the schema already documents each field adequately, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: "Execute command on connected server and get output result." This clearly conveys the tool's action and outcome, and it is immediately distinguishable from the sibling tools (upload, download, list-servers, list-directory), which all perform different operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this is for running shell commands on a server versus the file transfer and listing operations of sibling tools, but it provides no explicit when-to-use guidance, prerequisites, or exclusions. Usage context is inferable rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-directoryA
List entries of a remote directory (name, type, size, mtime) via SFTP
| Name | Required | Description | Default |
|---|---|---|---|
| remotePath | Yes | Absolute POSIX directory path on the remote server, e.g. /var/log | |
| connectionName | No | SSH connection name (optional, default is 'default') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral disclosure burden. It does communicate that this is a list/read operation and what fields appear in the result, which is helpful. It doesn't mention behaviors like connection requirements, symlink handling, error conditions, or non-existent paths, but the core read-only nature is reasonably clear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, tight sentence that front-loads the action and resource, then adds the useful output-field detail. There is no wasted text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple listing tool, the description plus fully documented schema covers the essential context: what is listed, what fields are returned, and how the path/connection parameters behave. It lacks explicit return format details and error behavior, but those are minor given the simplicity and lack of an output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already describes both parameters fully, including path format and the optional default for connectionName. The description adds no new parameter-level semantics, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb ('List'), a specific resource ('entries of a remote directory'), and the key returned attributes (name, type, size, mtime). It clearly distinguishes this tool from siblings like execute-command, upload, download, and list-servers.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The intended use is implied by the description: when you need a directory listing over SFTP. However, there is no explicit guidance about when to prefer this over alternatives, no exclusions, and no mention of prerequisites such as needing a configured SSH connection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-serversA
List all available SSH server configurations
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. 'List' implies a read-only operation, but the description does not clarify what 'available' means, whether the tool connects to servers, or what kind of configuration data is returned.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler or repetition. It communicates exactly what the tool does in the fewest words necessary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple, zero-parameter listing tool, this description is mostly complete. It clearly identifies the action and resource, though adding the output format or clarifying what 'configurations' includes would make it fully self-sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema already covers everything relevant. With no parameters to explain, the baseline of 4 applies, and the description does not need to add parameter-level detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('list') and resource ('SSH server configurations'), making the tool's purpose immediately clear. It is also naturally distinct from sibling tools like execute-command, upload, download, and list-directory.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives. It does not mention workflows such as 'use this before connecting to a server' or exclude cases where list-directory might be more appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
uploadC
Upload file to connected server
| Name | Required | Description | Default |
|---|---|---|---|
| localPath | Yes | Local path | |
| remotePath | Yes | Remote path | |
| connectionName | No | SSH connection name (optional, default is 'default') |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are completely absent, so the description carries the full burden of behavioral disclosure. It only states the basic action and does not mention whether an existing remote file is overwritten, whether directories are created, what permissions are required, or any side effects. This is a significant gap for a mutation-like upload operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The single sentence is concise and front-loaded with the core action ('Upload file'), containing no filler. It effectively states the purpose in minimal words, though it could be slightly expanded with useful context without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is too sparse. It does not explain what happens on success or failure, whether the remote path refers to a file or directory, or how the 'connected server' is determined. The schema covers parameter names but the overall operational context is incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides descriptions for all three parameters, with 100% coverage, so the baseline applies. The description adds no additional parameter meaning, but because the schema fully covers 'localPath', 'remotePath', and 'connectionName', a score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Upload file') and the target ('connected server'), which distinguishes it from siblings like 'download' or 'execute-command'. However, it does not explicitly differentiate from these siblings by naming them or elaborating on the remote context, so it misses the top score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives like 'download' or 'execute-command'. It does not mention prerequisites, such as needing an existing server connection, nor when not to use this tool. Usage is only vaguely implied by the verb 'Upload'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
5 tool updates
v1.1.3- First observed
download - First observed
execute-command - First observed
list-directory - First observed
list-servers - First observed
upload
TDQS
Scored across 5 tools
Each tool targets a distinct operation: remote command execution, file upload, file download, server configuration listing, and directory listing. There is no meaningful overlap or ambiguity between them.
Naming mostly follows a clear verb-object pattern with lowercase hyphenation, like execute-command, list-servers, and list-directory. The standalone upload and download verbs deviate slightly from the hyphenated style but remain intuitive and consistent in intent.
Five tools is well-scoped for an SSH MCP server, covering the essential interactions without unnecessary bloat. Each tool earns its place and the set feels focused.
The set covers command execution, file transfer, directory browsing, and server enumeration, which are core SSH workflows. Minor gaps like missing explicit remote delete, rename, or mkdir tools are workable because command execution can handle those operations.
Maintenance
Related MCP Connectors
Egnyte's remote MCP server for secure AI access, search, upload and file management in your account.
Secure and manage MCP servers through the Speakeasy AI Control Plane from your agent.
Termalin's hosted MCP server. Claude, ChatGPT or any MCP client runs commands, moves files over SFTP, queries databases and reads server metrics and monitoring alerts on your servers, keylessly through Termalin Connectors: no SSH key is handed over and no inbound port is opened. Per-host command policy and an audit log. Needs a termal.in Pro or Team account (new accounts start with a 14-day Pro trial).
Compliance frameworks (SOC 2, ISO 27001, CMMC, NIST, more) delivered to AI agents as MCP tools.
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