mcp-bash-server
Enables running shell commands on the local machine via MCP, using bash.
README
mcp-bash-server
The problem
Cowork (and Claude Desktop) run in a sandbox and can't execute commands on your
own machine. This server bridges that gap — it connects Cowork to your local
bash so Claude can run shell commands directly on your computer, then read
their output.
What it is
A tiny Model Context Protocol server that lets
an MCP-aware client run shell commands on your local machine. It exposes one
tool, run_bash, and communicates over stdio.
From the client's side, running a command is just a tool call. On this side, the
command runs via bash -c with your user's permissions, and its exit code,
stdout, and stderr are returned.
⚠️ Security
By default this is an open shell: whatever connects can run anything you can. Only connect clients you trust, and consider using the allowlist below.
Install (easy way — double-click, no terminal)
Download mcp-bash-server.mcpb and double-click it. Claude Desktop opens an
install dialog — review the permissions, optionally set an allowlist and default
working directory, and click Install. That's it: no Terminal, no pip, no
config files. Claude Desktop manages the runtime for you, and because the server
is registered locally, it also becomes available inside Cowork sessions.
An
.mcpb(MCP Bundle) is the one-click install format for local MCP servers, like a browser extension. This bundle uses theuvruntime, so you don't even need Python pre-installed.
The rest of this README is the manual route, for development or if you'd rather run it yourself.
Requirements (manual route)
- Python 3.10+
bashon yourPATH
Install
cd mcp-bash-server
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Run
The server supports two transports:
python server.py # stdio (default) — for the Claude Desktop bridge
python server.py --transport http # HTTP — serves MCP at http://127.0.0.1:8001/mcp
- stdio is the default. You normally don't run it by hand — the client launches it for you (see "Connect it to Claude Desktop" below). This is the simplest path: Claude Desktop runs the server as a subprocess and bridges it into Cowork automatically.
- http serves the MCP streamable-http transport natively (no
supergateway needed). Use it when you want to register the server as a custom
connector by URL. Change host/port with
--host/--port.
Connect it to Claude Desktop
Add an entry to your claude_desktop_config.json
(macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"bash": {
"command": "/absolute/path/to/mcp-bash-server/.venv/bin/python",
"args": ["/absolute/path/to/mcp-bash-server/server.py"]
}
}
}
Use absolute paths. Restart Claude Desktop; the run_bash tool should appear.
Connect it as a custom connector (HTTP / URL)
If you'd rather register it by URL (e.g. for Cowork's custom connector flow), run the HTTP transport and point the connector at it:
python server.py --transport http --port 8001
# -> serves http://127.0.0.1:8001/mcp
Then add a custom connector with URL http://localhost:8001/mcp. To keep it
running across reboots, manage it with a process manager (e.g. pm2,
launchd, or systemd).
The tool
run_bash(command: str, cwd?: str, timeout?: int) → text with exit code, stdout,
stderr.
command— the shell command, run viabash -c.cwd— working directory (defaults to where the server started).timeout— seconds before the command is killed (capped byBASH_MCP_MAX_TIMEOUT).
Configuration (environment variables)
| Variable | Default | Meaning |
|---|---|---|
BASH_MCP_ALLOWED |
(unset) | Comma-separated command prefixes to allow, e.g. git,ls,cat,npm. Unset = unrestricted. |
BASH_MCP_CWD |
server's cwd | Default working directory for commands. |
BASH_MCP_MAX_TIMEOUT |
300 |
Hard ceiling (seconds) on any command's runtime. |
BASH_MCP_TRANSPORT |
stdio |
stdio or http (same as --transport). |
BASH_MCP_HOST |
127.0.0.1 |
Bind host for --transport http. |
BASH_MCP_PORT |
8001 |
Bind port for --transport http. |
Example — restrict to a safe set:
{
"mcpServers": {
"bash": {
"command": "/absolute/path/to/.venv/bin/python",
"args": ["/absolute/path/to/server.py"],
"env": { "BASH_MCP_ALLOWED": "git,ls,cat,grep,npm,node,python3" }
}
}
}
Building the .mcpb yourself
npx @anthropic-ai/mcpb pack . mcp-bash-server.mcpb
This validates manifest.json and produces the installable bundle. The uv
server type means dependencies are resolved from pyproject.toml at install
time — nothing is vendored, so the same bundle works on macOS, Windows, and
Linux.
License
MIT — see LICENSE.
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