Remote MCP Server Setup

{
  "servers": {
    "roxy-biorhythm-api": {
      "type": "http",
      "url": "https://roxyapi.com/mcp/biorhythm-api",
      "headers": {
        "X-API-Key": "your_api_key_here"
      }
    }
  }
}

claude mcp add-json roxy-biorhythm-api '{"type":"http","url":"https://roxyapi.com/mcp/biorhythm-api","headers":{"X-API-Key":"your_api_key_here"}}'

{
  "mcpServers": {
    "roxy-biorhythm-api": {
      "type": "http",
      "url": "https://roxyapi.com/mcp/biorhythm-api",
      "headers": {
        "X-API-Key": "your_api_key_here"
      }
    }
  }
}

import Anthropic from "@anthropic-ai/sdk";

const anthropic = new Anthropic();

const response = await anthropic.beta.messages.create({
  model: "claude-sonnet-4-20250514",
  max_tokens: 1024,
  mcp_servers: [{
    type: "url",
    url: "https://roxyapi.com/mcp/biorhythm-api",
    name: "roxy-biorhythm-api",
    authorization_token: "your_api_key_here"
  }],
  tools: [{
    type: "mcp_toolset",
    mcp_server_name: "roxy-biorhythm-api"
  }],
  messages: [
    { role: "user", content: "Your prompt here" }
  ]
}, {
  headers: { "anthropic-beta": "mcp-client-2025-11-20" }
});

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    async with MCPServerStreamableHttp(
        name="RoxyAPI",
        params={
            "url": "https://roxyapi.com/mcp/biorhythm-api",
            "headers": {"X-API-Key": "your_api_key_here"}
        }
    ) as server:
        agent = Agent(
            name="Assistant",
            instructions="Use RoxyAPI tools to answer questions",
            mcp_servers=[server]
        )
        result = await Runner.run(agent, "Get today's horoscope for Aries")
        print(result.final_output)

asyncio.run(main())

# pip install openai-agents

import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamable_http_client

async def main():
    async with streamable_http_client(
        "https://roxyapi.com/mcp/biorhythm-api",
        headers={"X-API-Key": "your_api_key_here"}
    ) as (read_stream, write_stream, _):
        async with ClientSession(read_stream, write_stream) as session:
            await session.initialize()

            # Discover all available tools
            tools = await session.list_tools()
            print(f"Available tools: {[t.name for t in tools.tools]}")

            # Call a tool
            result = await session.call_tool(
                "post_astrology_natal_chart",
                arguments={
                    "date": "1990-06-15",
                    "time": "14:30",
                    "latitude": 40.7128,
                    "longitude": -74.0060
                }
            )
            print(result)

asyncio.run(main())

# pip install mcp

// TypeScript — npm install @modelcontextprotocol/sdk
import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StreamableHTTPClientTransport } from '@modelcontextprotocol/sdk/client/streamableHttp.js';

const client = new Client({ name: 'my-app', version: '1.0.0' });
const transport = new StreamableHTTPClientTransport(
  new URL('https://roxyapi.com/mcp/biorhythm-api'),
  { requestInit: { headers: { 'X-API-Key': 'your_api_key_here' } } }
);
await client.connect(transport);
const tools = await client.listTools();

// Python — pip install mcp
import asyncio
from mcp import ClientSession
from mcp.client.streamable_http import streamable_http_client

async def main():
    async with streamable_http_client(
        "https://roxyapi.com/mcp/biorhythm-api",
        headers={"X-API-Key": "your_api_key_here"}
    ) as (read_stream, write_stream, _):
        async with ClientSession(read_stream, write_stream) as session:
            await session.initialize()
            tools = await session.list_tools()
            print([t.name for t in tools.tools])

asyncio.run(main())