Un servidor de protocolo de contexto de modelo que proporciona acceso a su sesión de iTerm.
Uso eficiente del token: iterm-mcp brinda al modelo la capacidad de inspeccionar solo la salida que le interesa. El modelo normalmente solo quiere ver las últimas líneas de salida, incluso para comandos de ejecución prolongada.
Integración natural: Compartes iTerm con el modelo. Puedes hacer preguntas sobre lo que aparece en la pantalla o delegarle una tarea y observar cómo realiza cada paso.
Control de terminal completo y soporte REPL: el modelo puede iniciar e interactuar con REPL, así como enviar caracteres de control como Ctrl-C, Ctrl-Z, etc.
Dependencias mínimas: iterm-mcp se compila con dependencias mínimas y se ejecuta mediante npx. Está diseñado para ser fácil de integrar en Claude Desktop y otros clientes MCP. Debería funcionar sin problemas.
El usuario es responsable de utilizar la herramienta de forma segura.
Sin restricciones integradas: iterm-mcp no intenta evaluar la seguridad de los comandos que se ejecutan.
Los modelos pueden comportarse de forma inesperada. Se espera que el usuario supervise la actividad y la cancele cuando corresponda.
En tareas de varios pasos, es posible que tengas que interrumpir el modelo si se desvía. Empieza con tareas más pequeñas y específicas hasta que te familiarices con el comportamiento del modelo.
write_to_terminal : escribe en la terminal iTerm activa, que suele usarse para ejecutar un comando. Devuelve el número de líneas de salida generadas por el comando.
read_terminal_output : lee la cantidad de líneas solicitadas desde la terminal iTerm activa.
send_control_character : envía un carácter de control a la terminal iTerm activa.
iTerm2 debe estar ejecutándose
Versión de nodo 18 o superior
Related MCP server: iTerm MCP Server
Para utilizar con Claude Desktop, agregue la configuración del servidor:
En macOS: ~/Library/Application Support/Claude/claude_desktop_config.json En Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"iterm-mcp": {
"command": "npx",
"args": [
"-y",
"iterm-mcp"
]
}
}
}Para instalar iTerm para Claude Desktop automáticamente a través de Smithery :
npx -y @smithery/cli install iterm-mcp --client claudeInstalar dependencias:
yarn installConstruir el servidor:
yarn run buildPara desarrollo con reconstrucción automática:
yarn run watchDado que los servidores MCP se comunican a través de stdio, la depuración puede ser complicada. Recomendamos usar el Inspector MCP , disponible como script de paquete:
yarn run inspector
yarn debug <command>El Inspector proporcionará una URL para acceder a las herramientas de depuración en su navegador.
Reads the output from the active iTerm terminal
| Name | Required | Description | Default |
|---|---|---|---|
| linesOfOutput | Yes | The number of lines of output to read. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, yet it states nothing about side effects (e.g., whether reading clears output), output format, maximum lines, or error behavior. The agent lacks critical information about how the tool behaves at runtime.
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 highly concise: a single sentence with no waste. It is appropriately front-loaded. However, it could afford to include a tiny bit more context without harming conciseness, hence not a perfect 5.
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 tool's simplicity (single required parameter, no output schema), the description is insufficient. It omits essential context such as whether the read is destructive, how the terminal session is identified ('active' is ambiguous), and any limitations on the number of lines. The agent lacks enough information to use the tool confidently.
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?
Schema coverage is 100% because the only parameter ('linesOfOutput') is described in the schema. The description adds no additional meaning beyond the schema's 'The number of lines of output to read.' so it meets the baseline but does not enhance parameter understanding.
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 ('reads') and the specific resource ('output from the active iTerm terminal'). It distinctively separates this tool from its siblings ('send_control_character' and 'write_to_terminal') which perform write operations, making the tool's purpose unambiguous.
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 versus its siblings. It does not mention prerequisites, alternatives, or conditions under which this tool should be chosen. The agent receives no decision support beyond the basic action.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Sends a control character to the active iTerm terminal (e.g., Control-C, or special sequences like ']' for telnet escape)
| Name | Required | Description | Default |
|---|---|---|---|
| letter | Yes | The letter corresponding to the control character (e.g., 'C' for Control-C, ']' for telnet escape) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description only states action, does not disclose side effects (e.g., interrupting processes), permissions, or return behavior. Minimal behavioral insight beyond the action itself.
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?
Single concise sentence with all essential information: action, target, examples. No wasted words; front-loaded with purpose.
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?
Adequate for a simple tool with one parameter and no output schema. Covers basic purpose and examples, but lacks behavioral details or usage context that would make it fully complete.
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?
Schema coverage 100% with description for 'letter'. Description adds examples ('C' for Control-C, ']' for telnet escape) and clarifies 'special sequences', enriching meaning beyond schema.
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?
Description clearly states the tool sends a control character to the active iTerm terminal, with specific examples (Control-C, telnet escape). It differentiates from siblings: write_to_terminal sends text, read_terminal_output reads output.
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?
Provides examples of when to use (control characters, special sequences). Implicitly contrasts with write_to_terminal for regular text. Could explicitly state not to use for typing text, but adequate guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Writes text to the active iTerm terminal - often used to run a command in the terminal
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | The command to run or text to write to the terminal |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations, and description lacks behavioral details such as whether the command waits for completion, effect on terminal state, or authentication needs. Critical for a command execution tool.
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?
One succinct sentence with no unnecessary information. Front-loaded with core action.
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?
Adequate for a simple tool, but lacks deeper context about execution behavior (synchronous? interactive?). Without annotations, description could do more to clarify usage.
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?
Single parameter 'command' with schema description 'The command to run or text to write to the terminal'. Description adds marginal value beyond schema, but schema coverage is 100%.
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?
Clearly states it writes text to the active iTerm terminal, often to run a command. Distinguishes from siblings (read_terminal_output and send_control_character) by its write action.
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?
Implies use for running commands and writing text. Context with siblings suggests when not to use (reading output or sending control characters), but no explicit exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v1.0.0read_terminal_outputsend_control_characterwrite_to_terminalScored across 3 tools
Each tool has a clearly distinct function: reading output, sending control characters, and writing text. No overlap in purpose.
All three tools follow a consistent verb_noun pattern in snake_case (read_terminal_output, send_control_character, write_to_terminal), making the set predictable.
Three tools is well-scoped for terminal interaction, covering reading, writing, and control without unnecessary bloat.
The tools cover core terminal operations, but missing features like session management or terminal listing are minor gaps for a basic server.
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
Augments MCP Server - A comprehensive framework documentation provider for Claude Code
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
