import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"
import { instrumentServer } from "@shinzolabs/instrumentation-mcp"

// Create your MCP server
const server = new McpServer({
  name: "my-mcp-server",
  version: "1.0.0",
  description: "My instrumented MCP server"
})

// Add telemetry instrumentation
const telemetry = instrumentServer(server, {
  serverName: "my-mcp-server",
  serverVersion: "1.0.0",
  exporterEndpoint: "https://api.app.shinzo.ai/telemetry/ingest_http",
  exporterAuth: {
    type: "bearer",
    token: "your-ingest-token-here"
  }
})

// Continue with your normal server setup
server.tool("hello", {
  description: "Say hello",
  inputSchema: {
    type: "object",
    properties: {
      name: { type: "string" }
    }
  }
}, async (args) => {
  return { content: `Hello, ${args.name}!` }
})

# .env file
SHINZO_TOKEN=your-ingest-token-here
SHINZO_ENDPOINT=https://api.app.shinzo.ai/telemetry/ingest_http

import { instrumentServer } from "@shinzolabs/instrumentation-mcp"

const telemetry = instrumentServer(server, {
  serverName: "my-mcp-server",
  serverVersion: "1.0.0",
  exporterEndpoint: process.env.SHINZO_ENDPOINT,
  exporterAuth: {
    type: "bearer",
    token: process.env.SHINZO_TOKEN
  }
})

const telemetry = instrumentServer(server, {
  serverName: "my-mcp-server",
  serverVersion: "1.0.0",
  exporterType: "console", // Outputs to console instead of HTTP
  enableMetrics: false // Console exporter doesn't support metrics
})