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MCP Bash
A simple model context protocol (MCP) server that allows Claude Desktop or other MCP aware clients to run Bash commands on your local machine.
Install
git clone https://github.com/patrickomatik/mcp-bashInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →MCP Bash
A simple Model-Context-Protocol (MCP) server for executing bash commands. This project allows you to execute bash commands via an MCP server interface, with all the potential security risks that entails! I couldn't find anything else like this in the public domain at the time of writing, so I wrote my own. It's a boon when getting Claude Desktop to write code (it can run the tests, assess the results and fix the issues is finds in one pass.)
Description
MCP Bash provides a simple way to execute bash commands from client applications. It wraps command execution in a controlled environment and returns both stdout and stderr from the executed commands.
Key features:
- Execute arbitrary bash commands
- Set and maintain a working directory across command executions
- Clean interface through the Model-Context-Protocol (MCP)
- Simple to deploy and extend
Installation
Prerequisites
- Python 3.10 or higher
- pip or another package manager
Setup
Clone the repository
git clone https://github.com/yourusername/mcp-bash.git cd mcp-bashCreate and activate a virtual environment
python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activateInstall dependencies
pip install -e .
Usage
Starting the server
python -m mcp.cli.server --module server
Claude Desktop Configuration
To use this with Claude Desktop, add this to your configuration (usually /Users//Library/Application Support/Claude/claude_desktop_config.json, or see 'Settings -> Developer' in Claude Desktop UI):
{
"mcpServers": {
"Bash": {
"command": "/Users/<username>/.local/bin/uv",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"/path/to/server.py"
]
}
}
}
Then ask Claude: "List the files in my current directory using the Bash MCP tool"
Using the API
The server exposes two main functions:
set_cwd(path): Set the working directory for bash commandsexecute_bash(cmd): Execute a bash command and return stdout/stderr
Example client code
from mcp.client import MCPClient
async def main():
# Connect to the MCP server
client = MCPClient("http://localhost:8000")
# Set working directory
await client.set_cwd("/path/to/your/directory")
# Execute a command
stdout, stderr = await client.execute_bash("ls -la")
print(f"Command output: {stdout}")
if stderr:
print(f"Error output: {stderr}")
if __name__ == "__main__":
import asyncio
asyncio.run(main())
Security Considerations
This server executes bash commands directly, which can be a lethal security risk if not properly restricted. There's nothing stopping the LLM from running dangerous commands like rm -rf /. For personal use, the usefulness may outweigh the risks, but take care when deploying.
Consider:
- Running in a container or restricted environment
- Adding command validation or allowlists
- Limiting filesystem access with appropriate user permissions
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
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