import os

# Using the MCP Python SDK
from mcp import ClientSession, StdioServerParameters

async with ClientSession(
    StdioServerParameters(
        command="npx",
        args=["mcp-remote", "https://api.saturday.fit/mcp"],
        env={"SATURDAY_API_KEY": os.environ["SATURDAY_API_KEY"]},
    )
) as session:
    # List available tools
    tools = await session.list_tools()
    for tool in tools:
        print(f"{tool.name}: {tool.description}")

    # Call a tool
    result = await session.call_tool(
        "calculate_nutrition",
        {
            "activity_type": "run",
            "duration_min": 90,
            "intensity_level": 5,
            "athlete_weight_kg": 70,
            "thermal_stress_level": 6,
        },
    )
    print(result)

import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const client = new Client({ name: "my-agent", version: "1.0" });

const transport = new StreamableHTTPClientTransport(
  new URL("https://api.saturday.fit/mcp"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${process.env.SATURDAY_API_KEY}`,
      },
    },
  }
);

await client.connect(transport);

// List available tools
const tools = await client.listTools();
tools.tools.forEach((t) => console.log(`${t.name}: ${t.description}`));

// Call a tool
const result = await client.callTool("calculate_nutrition", {
  activity_type: "run",
  duration_min: 90,
  intensity_level: 5,
  athlete_weight_kg: 70,
  thermal_stress_level: 6,
});

console.log(result);