Shell MCP Server
Servidor MCP de Shell
Una implementación en Node.js del Protocolo de Contexto de Modelo (MCP) que proporciona capacidades de ejecución segura de comandos de shell. Este servidor permite que los modelos de IA ejecuten comandos de shell en un entorno controlado con medidas de seguridad integradas. Se integra fácilmente con Claude Desktop para conectar Claude con su shell.
Características
Implementación de servidor compatible con MCP
Ejecución segura de comandos con protección de lista negra
Validación de existencia de comando
Transporte basado en E/S estándar
Manejo de errores y apagado elegante
Related MCP server: MCP Shell Server
Instalación
Ejecute npx mcp-shell .
Para añadirlo a Claude Desktop, ejecute npx mcp-shell config . O bien, añada npx -y mcp-shell manualmente a su configuración.
Inicie (o reinicie) Claude Desktop y debería ver la herramienta MCP en la página de inicio.
Características de seguridad
El servidor implementa varias medidas de seguridad:
Lista negra de comandos
Previene la ejecución de comandos peligrosos del sistema
Bloquea el acceso a modificaciones críticas del sistema.
Protege contra la destrucción del sistema de archivos.
Previene la escalada de privilegios
Validación de comandos
Verifica la existencia del comando antes de su ejecución
Valida contra la lista negra
Devuelve mensajes de error claros para comandos no válidos
Herramientas disponibles
El servidor proporciona una herramienta:
comando_ejecutar
Ejecuta un comando de shell y devuelve su salida.
Esquema de entrada:
{
"type": "object",
"properties": {
"command": { "type": "string" }
}
}Respuesta:
Éxito: Salida del comando como texto sin formato
Error: Mensaje de error en texto sin formato
Comandos en la lista negra
Las siguientes categorías de comandos están bloqueadas por seguridad:
Comandos de destrucción del sistema de archivos (rm, rmdir, del)
Comandos de disco/sistema de archivos (formato, mkfs, dd)
Comandos de permiso/propiedad (chmod, chown)
Comandos de escalada de privilegios (sudo, su)
Comandos de ejecución de código (exec, eval)
Comandos de comunicación del sistema (escritura, pared)
Comandos de control del sistema (apagado, reinicio, inicialización)
Manejo de errores
El servidor incluye un manejo integral de errores:
Errores de comando no encontrado
Errores de comando en la lista negra
Errores de ejecución
Errores del protocolo MCP
Apagado elegante en SIGINT
Detalles de implementación
El servidor está construido utilizando:
SDK de protocolo de contexto de modelo
StdioServerTransport para la comunicación
execa para la ejecución de comandos
command-exists para la validación de comandos
Desarrollo
Para modificar la configuración de seguridad, puede:
Edite el conjunto
BLACKLISTED_COMMANDSpara ajustar los comandos bloqueadosModifique la función
validateCommandpara agregar reglas de validación adicionalesMejorar la lógica de análisis de comandos en el controlador
CallToolRequestSchema
Available Tools
1 toolrun_commandC
Run a shell command
| Name | Required | Description | Default |
|---|---|---|---|
| command | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden but only states the action without disclosing behavioral traits. It doesn't cover critical aspects like whether the command runs locally or remotely, if it requires elevated privileges, potential side effects (e.g., file modifications), error handling, or output format. This leaves significant uncertainty for safe and effective use.
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 extremely concise with just three words, front-loaded and zero waste. It efficiently conveys the core action without unnecessary elaboration, making it easy to parse quickly. However, this conciseness comes at the cost of completeness, as noted in other dimensions.
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?
Given the complexity of running shell commands (which can be high-risk with mutations and side effects), no annotations, no output schema, and low parameter coverage, the description is incomplete. It lacks essential context such as execution environment, security implications, error responses, and usage scenarios, making it inadequate for safe agent operation.
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 has 1 parameter with 0% description coverage, and the description adds no meaning beyond the schema. It doesn't explain what the 'command' parameter should contain (e.g., syntax, examples, allowed commands) or any constraints. Since schema coverage is low, the description fails to compensate, leaving the parameter poorly documented.
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 'Run a shell command' clearly states the action (run) and target (shell command), providing a basic understanding of purpose. However, it lacks specificity about what kind of shell command or execution environment, making it somewhat vague. Since there are no sibling tools, differentiation isn't required, but the description could be more detailed.
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 provides no guidance on when to use this tool, such as for administrative tasks, automation, or debugging. It doesn't mention prerequisites like permissions, security considerations, or alternatives, leaving the agent with no context for decision-making. With no sibling tools, this is less critical but still a gap.
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. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
run_command
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'run_command' has a clear and distinct purpose that cannot be confused with any other tool in this set.
The naming is perfectly consistent as there is only one tool. It follows a clear verb_noun pattern ('run_command'), and with no other tools to compare against, there is no inconsistency in naming conventions.
A single tool is too few for a server named 'Shell MCP Server', which implies broader shell-related functionality. This minimal set feels thin and under-scoped, as it only covers basic command execution without supporting common shell operations like listing files, checking processes, or managing environment variables.
The tool set is severely incomplete for a shell server. While 'run_command' covers arbitrary command execution, it lacks tools for specific shell tasks (e.g., file operations, process management, directory navigation), leaving significant gaps that will likely cause agent failures when trying to perform common shell workflows.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Connectors
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Operate Linux, macOS and Windows from your LLM. Every action runs through an auditable allowlist.
A Model Context Protocol server for Wix AI tools
A paid remote MCP for OpenAI Codex context compressor, built to return verdicts, receipts, usage log
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that allows LLMs to execute shell commands and receive their output in a controlled manner.7MIT
- FlicenseNot gradedqualityDmaintenanceA secure interface that enables language models to execute shell commands on the host operating system through the Model Context Protocol.1-
- FlicenseAqualityDmaintenanceA local Model Context Protocol server that allows LLMs to securely execute shell commands on remote Linux and Windows systems via SSH connections.6252-
- FlicenseBqualityDmaintenanceA Model Context Protocol server that enables LLM applications to safely execute shell commands with error handling and timeout settings.1-
Appeared in Searches
- Bash shell scripting and command line resources
- Security testing and vulnerability assessment of MCP Server execution functions
- Security vulnerabilities and risks in MCP Server execution methods
- Security vulnerabilities in MCP Server related to subprocess execution
- NestJS framework information and resources
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/hdresearch/mcp-shell'
If you have feedback or need assistance with the MCP directory API, please join our Discord server