Shell Server
A lightweight MCP server that provides AI assistants with access to a system's terminal through a secure terminal tool. It enables users to execute shell commands and receive stdout, stderr, and exit codes directly within an MCP-compatible client.
README
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Shell Server
A lightweight MCP server that gives AI assistants access to your terminal.
Run shell commands through the Model Context Protocol — connect any MCP-compatible AI client to your system's terminal.
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Features
- Single tool, full power — exposes a
terminaltool that runs any shell command - Stdout + stderr — returns combined output with clear labeling
- Timeout protection — commands are capped at 30 seconds
- Error reporting — non-zero exit codes are surfaced automatically
- Stdio transport — works with any MCP client out of the box
Quickstart
With uv (recommended)
# Clone the repo
git clone https://github.com/joandiazcapell/shellserver.git
cd shellserver
# Install dependencies and run
uv sync
uv run server.py
With Docker
# Build the image
docker build -t shellserver .
# Run the container
docker run --rm -i shellserver
Or pull directly from Docker Hub:
docker run --rm -i yourusername/shellserver:latest
MCP Client Configuration
Add this to your MCP client config to connect:
Local (uv)
{
"mcpServers": {
"shell": {
"command": "uv",
"args": ["run", "server.py"],
"cwd": "/path/to/shellserver"
}
}
}
Docker
{
"mcpServers": {
"shell": {
"command": "docker",
"args": ["run", "--rm", "-i", "shellserver"]
}
}
}
Tool Reference
terminal
Run a shell command and return its output.
| Parameter | Type | Description |
|---|---|---|
command |
string |
The shell command to execute |
Returns — stdout, stderr (if any), and exit code (if non-zero).
> terminal("echo hello world")
hello world
> terminal("ls nonexistent")
STDERR:
ls: nonexistent: No such file or directory
Exit code: 1
Project Structure
shellserver/
├── server.py # MCP server implementation
├── pyproject.toml # Project metadata & dependencies
├── uv.lock # Locked dependencies
├── Dockerfile # Container build file
└── README.md
Requirements
- Python 3.13+
- uv (for local development)
- Docker (for containerized usage)
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