Una extensión de Claude Desktop que proporciona a Claude acceso a la terminal, al sistema de archivos y a trabajos en segundo plano en tu máquina Linux local.
Resuelve una carencia en la versión de Linux de Claude Desktop donde los servidores MCP al estilo claude_desktop_config.json no se cargan (ese mecanismo es exclusivo de macOS/Windows); en Linux, la única forma de añadir herramientas es mediante extensiones instalables.
Instalar esta extensión otorga a Claude acceso ilimitado a la shell en tu cuenta de usuario. Cualquier cosa que tu usuario pueda hacer desde una terminal, Claude puede hacerlo a través de esta herramienta: leer cualquier archivo que tu usuario pueda leer, modificar cualquier cosa que pueda modificar, instalar software, abrir conexiones de red, etc.
Trata la instalación de esto de la misma manera que tratarías dar a alguien una sesión SSH a tu máquina. No la instales en máquinas con datos confidenciales que no querrías que Claude viera o en sistemas compartidos.
Existe una lista de denegación de seguridad mínima integrada que rechaza un puñado de comandos de una sola línea obviamente destructivos (rm -rf /, rm -rf ~, bombas fork, dd/mkfs en dispositivos de disco sin procesar, shutdown/reboot). Esta es una red de seguridad de último recurso, no un entorno aislado (sandbox). Un comando determinado puede eludirla trivialmente. Existe para que un momento de falta de atención no borre tu directorio personal.
Para endurecer las restricciones, edita la matriz DENYLIST en la parte superior de server.js y vuelve a compilar. Para eliminarlas por completo, establece DENYLIST = [] y vuelve a compilar.
Related MCP server: claude-linux-mcp
Expone 8 herramientas a Claude:
Herramienta | Propósito |
| Ejecuta un comando de shell a través de |
| Lee un archivo de texto con corte opcional de rango de líneas. |
| Entradas con tipo (archivo/directorio), tamaño y mtime. |
| Crea o sobrescribe un archivo de texto. Se crean los directorios principales. |
| Genera un subproceso separado; devuelve un |
| Estado y las últimas N líneas de stdout/stderr para un trabajo en segundo plano. |
| Todos los trabajos (en ejecución, finalizados, eliminados). |
| Envía SIGTERM al trabajo; SIGKILL después de 5 segundos si sigue activo. |
El estado de ejecución (transcripciones, archivos temporales de trabajo) reside en /tmp/claude-term-mcp/ y se borra al reiniciar.
Descarga el archivo Terminal.mcpb más reciente desde la página de Releases.
Abre Claude Desktop → Settings → Extensions.
Desplázate hasta la sección Extension Developer en la parte inferior. Haz clic en Install Extension y selecciona el archivo Terminal.mcpb que descargaste.
Claude Desktop mostrará los detalles de la extensión con una advertencia roja de "información del desarrollador no verificada por Anthropic". Verifica que confías en la fuente y luego haz clic en Install.
En el momento de la instalación, Claude Desktop te pedirá un Default working directory (directorio de trabajo predeterminado): aquí es donde se ejecutan los comandos de shell cuando Claude no especifica uno. Elige tu carpeta principal de proyectos o déjalo vacío para que sea tu directorio personal.
De vuelta en All extensions, asegúrate de que Terminal esté activado.
En un chat, abre el selector de conectores/herramientas y habilita Terminal para esa conversación.
Puedes cambiar el directorio de trabajo predeterminado más tarde desde Settings → Extensions → Terminal.
Claude Desktop ≥ 0.10.0 en Linux (también probado en macOS)
Node.js ≥ 16 (Claude Desktop incluye un Node reciente que utiliza para ejecutar la extensión, por lo que no se requiere un Node del sistema)
bash en PATH
No hay paso de npm install: la extensión es Node puro sin dependencias.
Toda la configuración se realiza a través de la interfaz de usuario de Claude Desktop en el momento de la instalación o en Settings → Extensions → Terminal.
Campo | Tipo | Propósito |
Default working directory | Directorio | Donde se ejecutan los comandos de shell cuando Claude no especifica uno. Déjalo en blanco para |
Para personalizar la lista de denegación u otro comportamiento, edita server.js y vuelve a compilar (ver más abajo).
Banner amarillo: "Tool result could not be submitted. The request may have expired or the connection was interrupted." Esto aparece en cada turno que activa el paso de carga dinámica de herramientas de Claude. El 404 es sobre el envío del resultado de la búsqueda de herramientas al backend de Anthropic, no sobre la herramienta MCP en sí: tu llamada a la herramienta se ejecuta y devuelve correctamente inmediatamente después del banner. Es cosmético. El mismo problema también afecta a la extensión Filesystem estándar. Probablemente sea un desajuste de protocolo cliente↔backend que se solucionará en una futura versión de Claude Desktop.
git clone https://github.com/LukeLamb/claude-terminal-mcp
cd claude-terminal-mcp
# Edit whatever you want in server.js / manifest.json.
# If you change the tool surface, update both places.
# Bump the version in manifest.json so Claude Desktop treats the install as an update.
# Build the bundle:
zip -j Terminal.mcpb manifest.json package.json server.js
# Then install Terminal.mcpb via Claude Desktop → Settings → Extensions → Install Extension.Settings → Extensions → All extensions → Terminal → Remove.
Ningún dato sale de tu máquina. Esta extensión se ejecuta completamente de forma local:
Recopilación de datos: Ninguna. La extensión no llama a casa, no emite telemetría ni realiza ninguna solicitud de red por sí misma. Todas las llamadas de red que observes serán las que tú le pidas a Claude que ejecute (por ejemplo, curl, wget, git push).
Uso y almacenamiento de datos: Las transcripciones de comandos (stdin excluido, stdout + stderr + código de salida) se escriben en /tmp/claude-term-mcp/runs/<timestamp>.log para que Claude pueda hacer referencia a ellas más tarde en la misma conversación. El estado del trabajo en segundo plano (comando, pid, archivos de registro stdout/stderr, código de salida, estado) se escribe en /tmp/claude-term-mcp/jobs/<job-id>/.
Compartir con terceros: Ninguno. Nada es transmitido nunca a Anthropic, al autor de la extensión o a terceros por esta extensión. (Claude Desktop en sí mismo envía por separado las entradas/salidas de las herramientas a Anthropic como parte del flujo normal de chat; esa es la relación de Anthropic contigo, no la de esta extensión).
Retención: /tmp/claude-term-mcp/ se borra en cada reinicio. Para borrarlo manualmente: rm -rf /tmp/claude-term-mcp.
Alcance de los permisos: Los comandos se ejecutan con los permisos de tu propio usuario, igual que si los escribieras en una terminal.
Contacto / preguntas: Abre un issue en https://github.com/LukeLamb/claude-terminal-mcp/issues.
MIT. Úsalo libremente, se agradece la atribución, sin garantía.
Terminate a running background job (SIGTERM, then SIGKILL after 5s).
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide destructiveHint=true, and the description adds specific behavioral details (SIGTERM then SIGKILL after 5s), which goes beyond the annotation. No contradiction.
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 sentence that is concise and front-loaded with the core purpose and key details. No unnecessary words.
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 simplicity of the tool (one parameter, no output schema, destructiveHint annotation), the description covers the main behavior but lacks information on error handling, return values, or what happens if the job_id is invalid.
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 has one parameter (job_id) with no description (0% coverage), and the description does not elaborate on this parameter or its format. The description adds no extra meaning beyond the 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?
The description clearly states the action ('terminate') and the resource ('running background job'), and explicitly mentions the signal sequence (SIGTERM then SIGKILL after 5s). This distinguishes it from sibling tools like list_background and run_background.
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 use for forceful termination but does not explicitly state when to use this tool versus alternatives, nor does it provide any exclusions or prerequisites. The context of sibling names provides some guidance, but it is not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
List all background jobs (running, exited, killed).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, and the description confirms this is a list operation. It adds behavioral context by specifying the job states included (running, exited, killed), which annotations do not cover.
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 concise sentence with 8 words, front-loading the purpose. Every word adds value, and there is no extraneous information.
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 list tool with no output schema, the description covers what the tool does and the states returned. However, it lacks details on the output structure (e.g., fields like job ID or status), which would help an agent interpret results without 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 input schema has zero parameters and 100% coverage. The description correctly omits parameter details as none exist. No additional parameter info is needed beyond the 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?
The description clearly states 'List all background jobs' with specific states (running, exited, killed). The verb 'List' and resource 'background jobs' are unambiguous, and the states differentiate it from siblings like kill_background or run_background.
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 usage when an agent needs to view all background jobs, but it does not provide explicit guidance on when to use this tool versus alternatives like read_background for job details or kill_background for termination.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
List entries in a directory with type, size, and mtime.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, indicating a safe read operation. The description adds value by explicitly listing the fields returned (type, size, mtime), which is beyond the annotations. No contradictions.
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?
A single sentence that is clear and to the point, front-loading the purpose and output fields. No wasted words.
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 with one parameter and no output schema, the description covers the basics but lacks details about error handling, recursion, symlinks, or output structure. Given the low complexity, it is minimally viable but could be improved.
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 single parameter 'path' has no description in the schema (0% coverage), and the tool description does not clarify the expected format (absolute/relative), allowed values, or behavior for missing paths. The parameter name is self-explanatory, but the description should compensate for the missing schema documentation.
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 ('list') and resource ('directory entries') and specifies the output fields (type, size, mtime), which distinguishes it from siblings like read_file that read file contents.
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 explicit guidelines on when to use vs alternatives. While the function is straightforward, the description does not mention when not to use or provide context about prerequisites (e.g., path must exist).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Read status and last N lines of stdout/stderr for a background job. tail=0 returns full logs.
| Name | Required | Description | Default |
|---|---|---|---|
| job_id | Yes | ||
| tail | No | Number of trailing lines to return. Default 100. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint=true, indicating safety. Description adds detail about reading stdout/stderr and the tail=0 behavior for full logs, enhancing transparency without contradictions.
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?
Two sentences with no fluff. Front-loaded with verb and resource, efficiently conveying core functionality and a key parameter behavior.
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?
No output schema exists, so description should clarify return format. It mentions 'status and last N lines' but lacks specifics on structure, leaving some ambiguity.
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 50% (only tail has description). The description adds value for tail ('tail=0 returns full logs') but does not describe job_id beyond context of 'background job'. Partially compensates for gaps.
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 'Read status and last N lines of stdout/stderr for a background job', specifying the verb and resource. It distinguishes from sibling tools like kill_background (kill) and run_background (start).
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 usage for reading background job output but lacks explicit when-to-use or when-not-to-use guidance. No mention of alternatives like read_file for non-job outputs.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Read a text file with optional line-range slicing.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| offset | No | 0-indexed starting line. Default 0. | |
| limit | No | Max lines to return. Default 2000. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint=true, indicating non-destructive behavior. The description adds the line-range slicing behavior, which is not covered by annotations. However, it does not disclose other behavioral traits like encoding assumptions, file existence errors, or output format. With annotations covering safety, this is adequate but not thorough.
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 sentence of 8 words, with no unnecessary verbiage. It is front-loaded with the core action and concisely adds scope. Every word earns its place.
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 no output schema and the tool's simplicity, the description covers the input and basic behavior. However, it omits details like return format (list of strings?), error handling (e.g., file not found), or constraints (e.g., file must be UTF-8). It is minimally adequate but could be more 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 description coverage is 67% (offset and limit have descriptions, path does not). The description mentions 'line-range slicing', which reinforces offset and limit, but does not explicitly describe the path parameter beyond implying it refers to a text file. It adds some context but does not fully compensate for the missing schema description on path.
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 'Read a text file with optional line-range slicing' uses a specific verb (Read) and resource (text file), and adds the line-range slicing detail that distinguishes it from sibling tools like write_file or list_directory. It clearly communicates the tool's primary function.
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 usage for reading text files, optionally with line-range slicing. However, it does not explicitly state when not to use this tool or mention alternatives (e.g., using run_command with cat). The context is clear but lacks exclusion guidance, so a 4 is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Start a long-running command in the background. Returns a job_id you can poll with read_background.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | ||
| cwd | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds 'long-running' context and return of job_id beyond annotations (destructiveHint, openWorldHint). Does not contradict annotations.
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 sentence is concise and front-loaded, but could benefit from structured listing of parameters.
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?
Lacks mentions of kill_background for cancellation or list_background for querying. No output schema so return format (job_id type) is unspecified.
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?
With 0% schema description coverage, description provides no additional meaning for 'command' or 'cwd' parameters.
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 verb 'Start', resource 'long-running command in the background', and output 'job_id' for polling. Distinguishes from siblings like read_background.
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?
Mentions polling via read_background, guiding usage. Could explicitly contrast with run_command for foreground tasks.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Run a shell command via bash -lc on the user's machine. Returns stdout/stderr/exit_code. Default cwd is the user-configured default working directory (or $HOME if unset). Output capped at 100KB per stream; full transcript saved to log_path.
| Name | Required | Description | Default |
|---|---|---|---|
| command | Yes | Shell command to run. Pipes, redirects, `source venv/bin/activate && …` all work. | |
| cwd | No | Working directory. Defaults to the user-configured default working directory (or the user's home directory if unset). | |
| timeout | No | Timeout in seconds. Default 120. | |
| env | No | Extra environment variables to set for this command. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds useful behavioral details beyond annotations: output capped at 100KB, full transcript saved to log_path, default cwd behavior, and use of bash -lc. Does not contradict destructiveHint or openWorldHint.
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?
Three sentences efficiently convey purpose, execution method, defaults, and output limits. Front-loaded with key information, no wasted words.
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?
Covers core functionality, defaults, and output limits. Could mention blocking nature or security implications, but given no output schema and good annotations, it's reasonably 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 covers all parameters (100% coverage). Description adds minor value for 'command' parameter (notes pipes/redirects work) but otherwise repeats schema info. Baseline 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?
Clearly states the tool runs a shell command via bash -lc, returns stdout/stderr/exit_code. Distinguishes from sibling tools like list_directory or kill_background by focusing on command execution.
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 explicit guidance on when to use this vs alternatives like run_background or read_file. The description only states what it does, not when to prefer it over siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Create or overwrite a text file. Parent directories are created.
| Name | Required | Description | Default |
|---|---|---|---|
| path | Yes | ||
| content | Yes | ||
| overwrite | No | Default true. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark destructiveHint=true. The description adds that parent directories are created, providing useful behavioral context beyond the annotation. It does not mention file size limits or encoding, but for a simple write tool this is adequate.
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?
Two succinct sentences with no unnecessary words. The key action and side effect (parent directory creation) are front-loaded.
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?
The description covers core functionality but omits edge cases (e.g., behavior when overwrite is false and file exists). With no output schema, the side effects and return values are not disclosed. Overall minimal viable but with gaps.
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 description coverage is only 33% (only overwrite has a description). The tool description does not elaborate on path or content parameters, failing to compensate for the low coverage. The description only implies content is text, no parameter-specific details.
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 'Create or overwrite a text file' with a specific verb and resource. The additional detail about parent directories being created distinguishes it from siblings like read_file and run_command.
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 on when to use this tool versus alternatives such as run_command or read_file. The description omits when not to use it or mention of trade-offs.
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.
v0.1.0kill_backgroundlist_backgroundlist_directoryread_backgroundread_filerun_backgroundrun_commandwrite_fileScored across 8 tools
Each tool has a distinct purpose: run_command for synchronous commands, run_background for long-running, and separate tools for file operations and background job management. No overlap.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., kill_background, list_directory, read_file), making the set predictable.
With 8 tools, the server covers essential terminal operations (command execution, file read/write, listing, background jobs) without excessive tool count.
Core operations are present, but missing file deletion, rename, and persistent directory change tools; however, these can be accomplished via run_command, so only minor gaps.
Use your Mac, Windows or Linux computer from ChatGPT, Claude or Codex: files, commands, documents.
Shared memory and actions for Claude, Kiro, OpenAI, Cursor, and other MCP-compatible AI clients.
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
