Shinzo TypeScript SDK: Complete Observability for MCP Servers

The SDK provides OpenTelemetry-compatible instrumentation for TypeScript MCP servers. Gain insight into agent usage patterns, contextualize tool calls, and analyze performance of your servers across platforms. Instrumentation can be installed in servers in just a few steps with an emphasis on ease of use and flexibility.

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Installation

pnpm add @shinzolabs/instrumentation-mcp

Usage

For the simplest configuration, just pass in the server name, version, and exporter endpoint:

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

const NAME = "my-mcp-server"
const VERSION = "1.0.0"

const server = new McpServer({
  name: NAME,
  version: VERSION,
  description: "Example MCP server with telemetry"
})

// Use TelemetryConfig to set configuration options
const telemetryConfig: TelemetryConfig = {
  serverName: NAME,
  serverVersion: VERSION,
  exporterEndpoint: "http://localhost:4318/v1" // OpenTelemetry collector endpoint - /trace and /metrics are added automatically
}

// Initialize telemetry
const telemetry = instrumentServer(server, telemetryConfig)

// Add tools using the tool method
server.tool(...)

The TelemetryConfig exposes a number of other options for precise and expansive telemetry processing:

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

const NAME = "my-other-mcp-server"
const VERSION = "1.0.0"

const server = new McpServer({
  name: NAME,
  version: VERSION,
  description: "Example MCP server with telemetry"
})

const telemetryConfig: TelemetryConfig = {
  serviceName: NAME,
  serviceVersion: VERSION,
  exporterEndpoint: "http://localhost:4318/v1", // OpenTelemetry collector endpoint
  exporterAuth: {
    type: "bearer",
    token: process.env.OTEL_AUTH_TOKEN
  },
  enablePIISanitization: false,
  enableTracing: false,
  samplingRate: 0.7,
  dataProcessors: [
    (telemetryData: any) => {
      if (telemetryData['mcp.tool.name'] === "sensitive_operation") {
        for (const key of Object.keys(telemetryData)) {
          if (key.startsWith('mcp.request.argument')) delete telemetryData[key]
        }
      }
      return telemetryData
    }
  ]
}

const telemetry = instrumentServer(server, telemetryConfig)

// Add tools using the tool method
server.tool(...)

Configuration Options

The TelemetryConfig interface provides comprehensive configuration options for customizing telemetry behavior:

... View full README on GitHub