mcp2term
Enables safe execution of system shell commands with real-time streaming output and rich metadata capture. Provides configurable command execution with timeout controls, environment management, and extensible plugin architecture for monitoring command lifecycles.
README
mcp2term
An implementation of a Model Context Protocol (MCP) server that grants safe, auditable access to a system shell. The server streams stdout and stderr in real time while capturing rich metadata for plugins and downstream consumers.
Features
- Full command execution with configurable shell, working directory, environment variables, and timeouts.
- Live streaming of stdout and stderr via MCP log notifications so clients observe progress as it happens.
- Robust chunked streaming that handles large stdout/stderr volumes without blocking or truncation.
- Plugin architecture that exposes every function, class, and variable defined in the package, enabling extensions to observe command lifecycles or inject custom behaviour.
- Automatic ngrok tunneling so HTTP transports are reachable without additional manual setup.
- Typed lifespan context shared with MCP tools for dependency access and lifecycle management.
- Structured tool responses including timing information to make results easy for agents to consume.
- Console mirroring so operators always see the command stream, stdout, and stderr on the hosting terminal by default.
Installation
pip install -e .
The project targets Python 3.12 or newer.
Configuration
ServerConfig reads settings from environment variables:
| Variable | Description | Default |
|---|---|---|
MCP2TERM_SHELL |
Shell executable used for commands. | /bin/bash |
MCP2TERM_WORKDIR |
Working directory for commands. | Current directory |
MCP2TERM_INHERIT_ENV |
When true, inherit the parent environment. |
true |
MCP2TERM_EXTRA_ENV |
JSON object merged into the command environment. | {} |
MCP2TERM_PLUGINS |
Comma-separated dotted module paths to load as plugins. | (none) |
MCP2TERM_COMMAND_TIMEOUT |
Default timeout in seconds for commands. | unlimited |
MCP2TERM_STREAM_CHUNK_SIZE |
Bytes read from stdout/stderr per chunk while streaming. | 65536 |
MCP2TERM_CONSOLE_ECHO |
Mirror commands and output to the server console (true/false). |
true |
Running the server
mcp2term --transport stdio
Change --transport to sse or streamable-http to use the corresponding MCP transports. --log-level controls verbosity and --mount-path overrides the HTTP mount location when relevant.
While the server is running it mirrors every executed command, stdout chunk, and stderr chunk to the hosting console. Set MCP2TERM_CONSOLE_ECHO=false to suppress the mirroring when embedding the server into log-sensitive environments.
When running with the streamable-http transport the MCP endpoint is served from the /mcp path (or --mount-path plus /mcp when a custom mount is provided). The CLI prints the fully qualified URL, including the /mcp suffix, to make tunnelling targets such as ngrok easy to copy.
MCP tools
The server exposes two tools for remote command management:
run_command(command: str, working_directory: Optional[str], environment: Optional[dict[str, str]], timeout: Optional[float]], command_id: Optional[str])
The tool returns structured JSON containing:
command_id: unique identifier assigned to the invocationcommand: executed command stringworking_directory: resolved working directoryreturn_code: process exit code (non-zero for failure)stdout/stderr: aggregated outputstarted_at/finished_at: ISO 8601 timestampsduration: execution duration in secondstimed_out: boolean flag indicating whether a timeout occurred
While a command runs the server emits stdout and stderr chunks as MCP log messages, preserving ordering through asynchronous streaming. Clients can reuse command_id values when making follow-up requests.
cancel_command(command_id: str, signal_value: Optional[str | int])
Sending cancel_command forwards a signal (defaulting to SIGINT) to the running process identified by command_id. The response includes the numeric signal, its symbolic signal_name, and a delivered flag confirming whether the process was still active when the signal was sent.
send_stdin(command_id: str, data: Optional[str], eof: bool = False)
Use send_stdin to stream additional input to an interactive command. The tool accepts optional text payloads and an eof flag
that closes the stdin pipe once all required data has been delivered. The response reports whether the input was accepted so
clients can retry or surface helpful diagnostics.
Plugins
Plugins implement the PluginProtocol (via a module-level PLUGIN object) and can register CommandStreamListener instances to observe command lifecycle events. When the server starts it loads modules listed in MCP2TERM_PLUGINS, exposing the entire mcp2term namespace through the plugin registry for inspection or extension.
A minimal plugin skeleton:
from dataclasses import dataclass
from mcp2term.plugin import CommandStreamListener, PluginProtocol, PluginRegistry
@dataclass
class EchoListener(CommandStreamListener):
async def on_command_stdout(self, event):
print(event.data, end="")
async def on_command_start(self, event):
print(f"Starting: {event.request.command}")
async def on_command_stderr(self, event):
print(f"[stderr] {event.data}", end="")
async def on_command_complete(self, event):
print(f"Finished with {event.return_code}")
class ShellEchoPlugin(PluginProtocol):
name = "shell-echo"
version = "1.0.0"
def activate(self, registry: PluginRegistry):
registry.register_command_listener(EchoListener())
PLUGIN = ShellEchoPlugin()
Development
Run the test suite with:
pytest
Tests are parameterised to run with or without dependency stubbing, ensuring full execution paths remain verified.
Ngrok integration
By default mcp2term opens an ngrok tunnel whenever you run the server with the sse or streamable-http transports. The tunnel exposes the local HTTP endpoint using the ngrok agent that must already be authenticated (for example via ngrok config add-authtoken). Unless overridden, the server now requests the reserved domain alpaca-model-easily.ngrok-free.app so clients always receive a predictable hostname.
Control the integration with the following environment variables:
| Variable | Description | Default |
|---|---|---|
MCP2TERM_NGROK_ENABLE |
Enable or disable automatic tunnel creation. | true |
MCP2TERM_NGROK_TRANSPORTS |
Comma-separated transports that should be tunnelled (stdio, sse, streamable-http). |
sse,streamable-http |
MCP2TERM_NGROK_BIN |
Path to the ngrok executable. |
ngrok |
MCP2TERM_NGROK_API_URL |
Base URL for the local ngrok API. | http://127.0.0.1:4040 |
MCP2TERM_NGROK_REGION |
Optional ngrok region to target. | (none) |
MCP2TERM_NGROK_LOG_LEVEL |
ngrok log level (debug, info, warn, error). |
info |
MCP2TERM_NGROK_EXTRA_ARGS |
JSON array of additional CLI arguments passed to ngrok. | [] |
MCP2TERM_NGROK_ENV |
JSON object merged into the ngrok process environment. | {} |
MCP2TERM_NGROK_START_TIMEOUT |
Seconds to wait for tunnel provisioning. | 15 |
MCP2TERM_NGROK_POLL_INTERVAL |
Seconds between tunnel status checks. | 0.5 |
MCP2TERM_NGROK_REQUEST_TIMEOUT |
HTTP timeout for API calls. | 5 |
MCP2TERM_NGROK_SHUTDOWN_TIMEOUT |
Seconds to wait for ngrok to terminate gracefully. | 5 |
MCP2TERM_NGROK_CONFIG |
Optional path to an ngrok configuration file. | (none) |
MCP2TERM_NGROK_HOSTNAME / MCP2TERM_NGROK_DOMAIN / MCP2TERM_NGROK_EDGE |
Custom host bindings to request from ngrok. | alpaca-model-easily.ngrok-free.app for domain |
Use the --disable-ngrok flag when running mcp2term to opt out of tunneling for a single invocation.
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