# Clone or navigate to the project directory
cd mcpmake

# Install in development mode
pip install -e .

export ANTHROPIC_API_KEY="your-key-here"
# or
export OPENAI_API_KEY="your-key-here"

{
  "mcpServers": {
    "mcpmake": {
      "command": "python",
      "args": ["-m", "mcpmake.server"],
      "env": {
        "ANTHROPIC_API_KEY": "your-key-here"
      }
    }
  }
}

# Register a Python script with automatic schema extraction
register_script(
    name="data_processor",
    path="/path/to/script.py",
    description="Processes data files",  # optional, auto-generated if omitted
    python_path="/usr/bin/python3",      # optional
    timeout_seconds=240,                  # optional, default 240
    min_lines=1,                          # optional, default 1
    llm_provider="anthropic"              # optional, "anthropic" or "openai"
)

list_scripts()
# Shows all registered scripts with descriptions

get_script_info(name="data_processor")
# Shows detailed schema, path, recent runs, etc.

run_script(
    name="data_processor",
    args={
        "input_file": "data.csv",
        "output_dir": "/tmp/output",
        "verbose": true
    },
    env_vars={                    # optional
        "API_KEY": "secret123"
    },
    python_path="/usr/bin/python3",  # optional, overrides default
    timeout=300,                      # optional, overrides default
    output_lines=100                  # optional, default 100
)

get_run_history(
    name="data_processor",  # optional, shows all scripts if omitted
    limit=10                # optional, default 10
)

# Re-analyze script after code changes
update_script(
    name="data_processor",
    llm_provider="anthropic"  # optional
)

delete_script(name="data_processor")

~/.mcpmake/
├── scripts.json          # Script registry and metadata
├── history.jsonl         # Execution history log
└── outputs/              # Full script outputs
    ├── script1_timestamp.log
    └── script2_timestamp.log

import argparse

parser = argparse.ArgumentParser(description="Process data files")
parser.add_argument("--input-file", required=True, help="Input CSV file")
parser.add_argument("--output-dir", required=True, help="Output directory")
parser.add_argument("--verbose", action="store_true", help="Verbose output")
args = parser.parse_args()

import click

@click.command()
@click.option("--input-file", required=True, help="Input CSV file")
@click.option("--output-dir", required=True, help="Output directory")
@click.option("--verbose", is_flag=True, help="Verbose output")
def main(input_file, output_dir, verbose):
    pass

def main(input_file: str, output_dir: str, verbose: bool = False):
    """
    Process data files.

    Args:
        input_file: Path to input CSV file
        output_dir: Output directory path
        verbose: Enable verbose logging
    """
    pass