Skip to main content
Glama

Data Commons MCP Server

by ARJ999
cli.py1.55 kB
import logging import sys import click @click.group() def cli() -> None: """DataCommons MCP CLI - Model Context Protocol server for Data Commons.""" logging.basicConfig(level=logging.INFO) @cli.group() def serve() -> None: """Serve the MCP server in different modes.""" @serve.command() @click.option("--host", default="localhost", help="Host to bind.") @click.option("--port", default=8080, help="Port to bind.", type=int) def http(host: str, port: int) -> None: """Start the MCP server in Streamable HTTP mode.""" try: from datacommons_mcp.server import mcp click.echo("Starting DataCommons MCP server in Streamable HTTP mode") click.echo(f"Server URL: http://{host}:{port}") click.echo(f"Streamable HTTP endpoint: http://{host}:{port}/mcp") click.echo("Press CTRL+C to stop") mcp.run(host=host, port=port, transport="streamable-http") except ImportError as e: click.echo(f"Error importing server: {e}", err=True) sys.exit(1) @serve.command() def stdio() -> None: """Start the MCP server in stdio mode.""" try: from datacommons_mcp.server import mcp click.echo("Starting DataCommons MCP server in stdio mode", err=True) click.echo("Server is ready to receive requests via stdin/stdout", err=True) mcp.run(transport="stdio") except ImportError as e: click.echo(f"Error importing server: {e}", err=True) sys.exit(1) def main() -> None: """Main entry point for the CLI.""" cli()

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ARJ999/Data-Commons-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server