Skip to main content

click-mcp

PyPI version License: MIT

A Python library that extends Click applications with Model Context Protocol (MCP) support, allowing AI agents to interact with CLI tools.

Overview

click-mcp provides a simple decorator that converts Click commands into MCP tools. This enables AI agents to discover and interact with your CLI applications programmatically.

The Model Context Protocol (MCP) is an open standard for AI agents to interact with tools and applications in a structured way.

Key Features

  • Simple @click_mcp decorator syntax
  • Automatic conversion of Click commands to MCP tools
  • Support for nested command groups
  • Support for positional arguments
  • Stdio-based MCP server for easy integration

Installation

pip install click-mcp

Basic Usage

import click
from click_mcp import click_mcp

@click_mcp(server_name="my-cli-app")
@click.group()
def cli():
    """Sample CLI application."""
    pass

@cli.command()
@click.option('--name', required=True, help='Name to greet')
def greet(name):
    """Greet someone."""
    click.echo(f"Hello, {name}!")

if __name__ == '__main__':
    cli()

When you run the MCP server, Click commands are converted into MCP tools:

  • Command greet becomes MCP tool greet
  • Nested commands use dot notation (e.g., users.create)

To invoke a command via MCP, send a request like:

{
  "type": "invoke",
  "tool": "greet",
  "parameters": {
    "name": "World"
  }
}

To start the MCP server:

$ python my_app.py mcp

Advanced Usage

Customizing the MCP Command Name

By default, click-mcp adds an mcp command to your CLI application. You can customize this name using the command_name parameter:

@click_mcp(command_name="start-mcp")
@click.group()
def cli():
    """Sample CLI application with custom MCP command name."""
    pass

With this configuration, you would start the MCP server using:

$ python my_app.py start-mcp

This can be useful when:

  • The name "mcp" conflicts with an existing command
  • You want a more descriptive command name
  • You're integrating with a specific AI agent that expects a certain command name

Customizing the MCP Server Name

You can also customize the name of the MCP server that's reported to clients:

@click_mcp(server_name="my-custom-tool")
@click.group()
def cli():
    """Sample CLI application with custom server name."""
    pass

This can be useful when:

  • You want to provide a more descriptive name for your tool
  • You're integrating with systems that use the server name for identification
  • You want to distinguish between different MCP-enabled applications

Working with Nested Command Groups

click-mcp supports nested command groups. When you have a complex CLI structure with subcommands, all commands are exposed as MCP tools:

@click_mcp
@click.group()
def cli():
    """Main CLI application."""
    pass

@cli.group()
def users():
    """User management commands."""
    pass

@users.command()
@click.option('--username', required=True)
def create(username):
    """Create a new user."""
    click.echo(f"Creating user: {username}")

@users.command()
@click.argument('username')
def delete(username):
    """Delete a user."""
    click.echo(f"Deleting user: {username}")

When exposed as MCP tools, the nested commands will be available with their full path using dot notation (e.g., "users.create" and "users.delete").

Working with Positional Arguments

Click supports positional arguments using @click.argument(). When these are converted to MCP tools, they are represented as named parameters in the schema:

@cli.command()
@click.argument('source')
@click.argument('destination')
@click.option('--overwrite', is_flag=True, help='Overwrite destination if it exists')
def copy(source, destination, overwrite):
    """Copy a file from source to destination."""
    click.echo(f"Copying {source} to {destination}")

This command is converted to an MCP tool with the following schema:

{
  "type": "object",
  "properties": {
    "source": {
      "description": "",
      "schema": { "type": "string" },
      "required": true
    },
    "destination": {
      "description": "",
      "schema": { "type": "string" },
      "required": true
    },
    "overwrite": {
      "description": "Overwrite destination if it exists",
      "schema": { "type": "boolean" }
    }
  },
  "required": ["source", "destination"]
}

The positional nature of arguments is handled internally by click-mcp. When invoking the command, you can use named parameters:

{
  "type": "invoke",
  "tool": "copy",
  "parameters": {
    "source": "file.txt",
    "destination": "/tmp/file.txt",
    "overwrite": true
  }
}

The MCP server will correctly convert these to positional arguments when executing the Click command:

copy file.txt /tmp/file.txt --overwrite

Handling Command Errors

When a Click command raises an exception, click-mcp captures the error and returns it as part of the MCP response. This allows AI agents to handle errors gracefully:

@cli.command()
@click.option('--filename', required=True)
def process(filename):
    """Process a file."""
    try:
        with open(filename, 'r') as f:
            content = f.read()
        click.echo(f"Processed file: {filename}")
    except FileNotFoundError:
        raise click.UsageError(f"File not found: {filename}")

If the file doesn't exist, the AI agent will receive an error message that it can present to the user or use to take corrective action.

Development

Setup

Clone the repository and install Hatch:

git clone https://github.com/aws/click-mcp.git
cd click-mcp
pip install hatch

Testing

Run tests with Hatch:

# Run all tests
hatch run test

# Run tests with coverage
hatch run cov

Code Formatting

Format code with Black:

# Format code
hatch run format

# Check formatting
hatch run check-format

Linting

Run linting checks with Ruff:

hatch run lint

Type Checking

Run type checking with MyPy:

hatch run typecheck

Run All Checks

Run all checks (formatting, linting, type checking, and tests):

hatch run check-all

Building

Build the package:

hatch run build

Documentation

Generate documentation:

hatch run docs

License

MIT

Metadata

Release files for click-mcp 0.6.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for click-mcp 0.6.1
File Size Uploaded Provenance
click_mcp-0.6.1.tar.gz 38.0 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for click-mcp 0.6.1
File Interpreter ABI Platform
click_mcp-0.6.1-py3-none-any.whl Python 3 none any Details

Total release size: 48.5 kB

Release files / click_mcp-0.6.1.tar.gz

Download URL click_mcp-0.6.1.tar.gz
Size 38.0 kB
Tags Source
SHA-256 checksum
How to use checksums
eab77c69e06194ccb5e2be575fa4f3ad1a6e3453c5dd4a3def4154713cef104e
BLAKE2b-256 checksum
How to use checksums
be1a0c9f57c33cd01e7e3124656188fee23a9fbc2f09f899907af995731acad6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 20, 2026.

Transparency log

Release files / click_mcp-0.6.1-py3-none-any.whl

Download URL click_mcp-0.6.1-py3-none-any.whl
Size 10.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
0a135ec9f2dcf553bc7325508b9211c5e56900a89669643a108b45f598489045
BLAKE2b-256 checksum
How to use checksums
188c8117a9ce87b2ec27210735594059cbf8a5bca63d63bf5081d89cc9f52985
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 20, 2026.

Transparency log

Security for click-mcp 0.6.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for click_mcp-0.6.1.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 20, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page