AI Agent Integration

{
  "mcpServers": {
    "hoastnow": {
      "command": "npx",
      "args": ["mcp-remote", "https://www.hoastnow.com/mcp"]
    }
  }
}

{
  "mcpServers": {
    "hoastnow": {
      "url": "https://www.hoastnow.com/mcp"
    }
  }
}

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

// accessToken obtained via your OAuth client (PKCE auth-code or client_credentials),
// requested with scope=hoastnow.mcp and resource=mcp.
const accessToken = await getHoastnowMcpToken();

const client = new Client({ name: "my-app", version: "1.0.0" });

await client.connect(
  new StreamableHTTPClientTransport(
    new URL("https://www.hoastnow.com/mcp"),
    { requestInit: { headers: { Authorization: `Bearer ${accessToken}` } } }
  )
);

// Call a tool
const result = await client.callTool({
  name: "check_availability",
  arguments: { spaceId: 42, date: "2026-04-15" },
});
console.log(result.content);

from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client

# access_token obtained via your OAuth client (PKCE auth-code or client_credentials),
# requested with scope=hoastnow.mcp and resource=mcp.
access_token = get_hoastnow_mcp_token()

async with streamablehttp_client(
    "https://www.hoastnow.com/mcp",
    headers={"Authorization": f"Bearer {access_token}"},
) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()

        result = await session.call_tool(
            "check_availability",
            arguments={"spaceId": 42, "date": "2026-04-15"},
        )
        print(result.content)