MCP server integration

curl https://api.anthropic.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "anthropic-beta: mcp-client-2025-04-04" \
  -d '{
    "model": "claude-sonnet-4-20250514",
    "max_tokens": 1000,
    "messages": [{
      "role": "user",
      "content": "How do I increase my sales ?"
    }],
    "mcp_servers": [
      {
        "type": "url",
        "url": "https://agent.thoughtspot.app/bearer/mcp",
        "name": "thoughtspot",
        "authorization_token": "$TS_AUTH_TOKEN@my-thoughtspot-instance.thoughtspot.cloud"
      }
    ]
  }'

curl https://api.openai.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
  "model": "gpt-4.1",
  "tools": [
    {
      "type": "mcp",
      "server_label": "thoughtspot",
      "server_url": "https://agent.thoughtspot.app/bearer/mcp",
      "headers": {
        "Authorization": "Bearer $TS_AUTH_TOKEN",
        "x-ts-host": "my-thoughtspot-instance.thoughtspot.cloud"
      }
    }
  ],
  "input": "How can I increase my sales ?"
}'

import { GoogleGenAI, FunctionCallingConfigMode , mcpToTool} from '@google/genai';
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

// Create server parameters for stdio connection
const serverParams = new StreamableHTTPClientTransport(new URL("https://agent.thoughtspot.app/bearer/mcp"), {
    requestInit: {
        headers: {
            "Authorization": "Bearer $TS_AUTH_TOKEN",
            "x-ts-host": "my-thoughtspot-instance.thoughtspot.cloud"
        },
    }
});

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

// Configure the client
const ai = new GoogleGenAI({});

// Initialize the connection between client and server
await client.connect(serverParams);

// Send request to the model with MCP tools
const response = await ai.models.generateContent({
  model: "gemini-2.5-flash",
  contents: `What is the weather in London in ${new Date().toLocaleDateString()}?`,
  config: {
    tools: [mcpToTool(client)],  // uses the session, will automatically call the tool
    // Uncomment if you **don't** want the sdk to automatically call the tool
    // automaticFunctionCalling: {
    //   disable: true,
    // },
  },
});
console.log(response.text)

// Close the connection,
await client.close();