Model Context Protocol (MCP) memberikan fleksibilitas dalam mekanisme transportasi, memungkinkan implementasi khusus untuk lingkungan perusahaan yang spesifik. Panduan lanjutan ini mengeksplorasi implementasi transportasi khusus menggunakan Azure Event Grid dan Azure Event Hubs sebagai contoh praktis untuk membangun solusi MCP yang skalabel dan berbasis cloud.
Meskipun transportasi standar MCP (stdio dan HTTP streaming) memenuhi sebagian besar kebutuhan, lingkungan perusahaan sering kali membutuhkan mekanisme transportasi khusus untuk meningkatkan skalabilitas, keandalan, dan integrasi dengan infrastruktur cloud yang ada. Transportasi khusus memungkinkan MCP memanfaatkan layanan pesan berbasis cloud untuk komunikasi asinkron, arsitektur berbasis peristiwa, dan pemrosesan terdistribusi.
Pelajaran ini mengeksplorasi implementasi transportasi lanjutan berdasarkan spesifikasi MCP terbaru (2025-06-18), layanan pesan Azure, dan pola integrasi perusahaan yang sudah mapan.
Dari Spesifikasi MCP (2025-06-18):
- Transportasi Standar: stdio (direkomendasikan), HTTP streaming (untuk skenario jarak jauh)
- Transportasi Khusus: Transportasi apa pun yang mengimplementasikan protokol pertukaran pesan MCP
- Format Pesan: JSON-RPC 2.0 dengan ekstensi khusus MCP
- Komunikasi Dua Arah: Komunikasi full duplex diperlukan untuk notifikasi dan respons
Pada akhir pelajaran lanjutan ini, Anda akan dapat:
- Memahami Persyaratan Transportasi Khusus: Mengimplementasikan protokol MCP di atas lapisan transportasi apa pun sambil tetap mematuhi spesifikasi
- Membangun Transportasi Azure Event Grid: Membuat server MCP berbasis peristiwa menggunakan Azure Event Grid untuk skalabilitas tanpa server
- Mengimplementasikan Transportasi Azure Event Hubs: Merancang solusi MCP throughput tinggi menggunakan Azure Event Hubs untuk streaming real-time
- Menerapkan Pola Perusahaan: Mengintegrasikan transportasi khusus dengan infrastruktur dan model keamanan Azure yang ada
- Menangani Keandalan Transportasi: Mengimplementasikan daya tahan pesan, pengurutan, dan penanganan kesalahan untuk skenario perusahaan
- Mengoptimalkan Performa: Merancang solusi transportasi untuk kebutuhan skala, latensi, dan throughput
Message Protocol:
format: "JSON-RPC 2.0 with MCP extensions"
bidirectional: "Full duplex communication required"
ordering: "Message ordering must be preserved per session"
Transport Layer:
reliability: "Transport MUST handle connection failures gracefully"
security: "Transport MUST support secure communication"
identification: "Each session MUST have unique identifier"
Custom Transport:
compliance: "MUST implement complete MCP message exchange"
extensibility: "MAY add transport-specific features"
interoperability: "MUST maintain protocol compatibility"Azure Event Grid menyediakan layanan perutean peristiwa tanpa server yang ideal untuk arsitektur MCP berbasis peristiwa. Implementasi ini menunjukkan cara membangun sistem MCP yang skalabel dan terhubung secara longgar.
graph TB
Client[MCP Client] --> EG[Azure Event Grid]
EG --> Server[MCP Server Function]
Server --> EG
EG --> Client
subgraph "Azure Services"
EG
Server
KV[Key Vault]
Monitor[Application Insights]
end
using Azure.Messaging.EventGrid;
using Microsoft.Extensions.Azure;
using System.Text.Json;
public class EventGridMcpTransport : IMcpTransport
{
private readonly EventGridPublisherClient _publisher;
private readonly string _topicEndpoint;
private readonly string _clientId;
public EventGridMcpTransport(string topicEndpoint, string accessKey, string clientId)
{
_publisher = new EventGridPublisherClient(
new Uri(topicEndpoint),
new AzureKeyCredential(accessKey));
_topicEndpoint = topicEndpoint;
_clientId = clientId;
}
public async Task SendMessageAsync(McpMessage message)
{
var eventGridEvent = new EventGridEvent(
subject: $"mcp/{_clientId}",
eventType: "MCP.MessageReceived",
dataVersion: "1.0",
data: JsonSerializer.Serialize(message))
{
Id = Guid.NewGuid().ToString(),
EventTime = DateTimeOffset.UtcNow
};
await _publisher.SendEventAsync(eventGridEvent);
}
public async Task<McpMessage> ReceiveMessageAsync(CancellationToken cancellationToken)
{
// Event Grid is push-based, so implement webhook receiver
// This would typically be handled by Azure Functions trigger
throw new NotImplementedException("Use EventGridTrigger in Azure Functions");
}
}
// Azure Function for receiving Event Grid events
[FunctionName("McpEventGridReceiver")]
public async Task<IActionResult> HandleEventGridMessage(
[EventGridTrigger] EventGridEvent eventGridEvent,
ILogger log)
{
try
{
var mcpMessage = JsonSerializer.Deserialize<McpMessage>(
eventGridEvent.Data.ToString());
// Process MCP message
var response = await _mcpServer.ProcessMessageAsync(mcpMessage);
// Send response back via Event Grid
await _transport.SendMessageAsync(response);
return new OkResult();
}
catch (Exception ex)
{
log.LogError(ex, "Error processing Event Grid MCP message");
return new BadRequestResult();
}
}import { EventGridPublisherClient, AzureKeyCredential } from "@azure/eventgrid";
import { McpTransport, McpMessage } from "./mcp-types";
export class EventGridMcpTransport implements McpTransport {
private publisher: EventGridPublisherClient;
private clientId: string;
constructor(
private topicEndpoint: string,
private accessKey: string,
clientId: string
) {
this.publisher = new EventGridPublisherClient(
topicEndpoint,
new AzureKeyCredential(accessKey)
);
this.clientId = clientId;
}
async sendMessage(message: McpMessage): Promise<void> {
const event = {
id: crypto.randomUUID(),
source: `mcp-client-${this.clientId}`,
type: "MCP.MessageReceived",
time: new Date(),
data: message
};
await this.publisher.sendEvents([event]);
}
// Event-driven receive via Azure Functions
onMessage(handler: (message: McpMessage) => Promise<void>): void {
// Implementation would use Azure Functions Event Grid trigger
// This is a conceptual interface for the webhook receiver
}
}
// Azure Functions implementation
import { app, InvocationContext, EventGridEvent } from "@azure/functions";
app.eventGrid("mcpEventGridHandler", {
handler: async (event: EventGridEvent, context: InvocationContext) => {
try {
const mcpMessage = event.data as McpMessage;
// Process MCP message
const response = await mcpServer.processMessage(mcpMessage);
// Send response via Event Grid
await transport.sendMessage(response);
} catch (error) {
context.error("Error processing MCP message:", error);
throw error;
}
}
});from azure.eventgrid import EventGridPublisherClient, EventGridEvent
from azure.core.credentials import AzureKeyCredential
import asyncio
import json
from typing import Callable, Optional
import uuid
from datetime import datetime
class EventGridMcpTransport:
def __init__(self, topic_endpoint: str, access_key: str, client_id: str):
self.client = EventGridPublisherClient(
topic_endpoint,
AzureKeyCredential(access_key)
)
self.client_id = client_id
self.message_handler: Optional[Callable] = None
async def send_message(self, message: dict) -> None:
"""Send MCP message via Event Grid"""
event = EventGridEvent(
data=message,
subject=f"mcp/{self.client_id}",
event_type="MCP.MessageReceived",
data_version="1.0"
)
await self.client.send(event)
def on_message(self, handler: Callable[[dict], None]) -> None:
"""Register message handler for incoming events"""
self.message_handler = handler
# Azure Functions implementation
import azure.functions as func
import logging
def main(event: func.EventGridEvent) -> None:
"""Azure Functions Event Grid trigger for MCP messages"""
try:
# Parse MCP message from Event Grid event
mcp_message = json.loads(event.get_body().decode('utf-8'))
# Process MCP message
response = process_mcp_message(mcp_message)
# Send response back via Event Grid
# (Implementation would create new Event Grid client)
except Exception as e:
logging.error(f"Error processing MCP Event Grid message: {e}")
raiseAzure Event Hubs menyediakan kemampuan streaming real-time dengan throughput tinggi untuk skenario MCP yang membutuhkan latensi rendah dan volume pesan tinggi.
graph TB
Client[MCP Client] --> EH[Azure Event Hubs]
EH --> Server[MCP Server]
Server --> EH
EH --> Client
subgraph "Event Hubs Features"
Partition[Partitioning]
Retention[Message Retention]
Scaling[Auto Scaling]
end
EH --> Partition
EH --> Retention
EH --> Scaling
using Azure.Messaging.EventHubs;
using Azure.Messaging.EventHubs.Producer;
using Azure.Messaging.EventHubs.Consumer;
using System.Text;
public class EventHubsMcpTransport : IMcpTransport, IDisposable
{
private readonly EventHubProducerClient _producer;
private readonly EventHubConsumerClient _consumer;
private readonly string _consumerGroup;
private readonly CancellationTokenSource _cancellationTokenSource;
public EventHubsMcpTransport(
string connectionString,
string eventHubName,
string consumerGroup = "$Default")
{
_producer = new EventHubProducerClient(connectionString, eventHubName);
_consumer = new EventHubConsumerClient(
consumerGroup,
connectionString,
eventHubName);
_consumerGroup = consumerGroup;
_cancellationTokenSource = new CancellationTokenSource();
}
public async Task SendMessageAsync(McpMessage message)
{
var messageBody = JsonSerializer.Serialize(message);
var eventData = new EventData(Encoding.UTF8.GetBytes(messageBody));
// Add MCP-specific properties
eventData.Properties.Add("MessageType", message.Method ?? "response");
eventData.Properties.Add("MessageId", message.Id);
eventData.Properties.Add("Timestamp", DateTimeOffset.UtcNow);
await _producer.SendAsync(new[] { eventData });
}
public async Task StartReceivingAsync(
Func<McpMessage, Task> messageHandler)
{
await foreach (PartitionEvent partitionEvent in _consumer.ReadEventsAsync(
_cancellationTokenSource.Token))
{
try
{
var messageBody = Encoding.UTF8.GetString(
partitionEvent.Data.EventBody.ToArray());
var mcpMessage = JsonSerializer.Deserialize<McpMessage>(messageBody);
await messageHandler(mcpMessage);
}
catch (Exception ex)
{
// Handle deserialization or processing errors
Console.WriteLine($"Error processing message: {ex.Message}");
}
}
}
public void Dispose()
{
_cancellationTokenSource?.Cancel();
_producer?.DisposeAsync().AsTask().Wait();
_consumer?.DisposeAsync().AsTask().Wait();
_cancellationTokenSource?.Dispose();
}
}import {
EventHubProducerClient,
EventHubConsumerClient,
EventData
} from "@azure/event-hubs";
export class EventHubsMcpTransport implements McpTransport {
private producer: EventHubProducerClient;
private consumer: EventHubConsumerClient;
private isReceiving = false;
constructor(
private connectionString: string,
private eventHubName: string,
private consumerGroup: string = "$Default"
) {
this.producer = new EventHubProducerClient(
connectionString,
eventHubName
);
this.consumer = new EventHubConsumerClient(
consumerGroup,
connectionString,
eventHubName
);
}
async sendMessage(message: McpMessage): Promise<void> {
const eventData: EventData = {
body: JSON.stringify(message),
properties: {
messageType: message.method || "response",
messageId: message.id,
timestamp: new Date().toISOString()
}
};
await this.producer.sendBatch([eventData]);
}
async startReceiving(
messageHandler: (message: McpMessage) => Promise<void>
): Promise<void> {
if (this.isReceiving) return;
this.isReceiving = true;
const subscription = this.consumer.subscribe({
processEvents: async (events, context) => {
for (const event of events) {
try {
const messageBody = event.body as string;
const mcpMessage: McpMessage = JSON.parse(messageBody);
await messageHandler(mcpMessage);
// Update checkpoint for at-least-once delivery
await context.updateCheckpoint(event);
} catch (error) {
console.error("Error processing Event Hubs message:", error);
}
}
},
processError: async (err, context) => {
console.error("Event Hubs error:", err);
}
});
}
async close(): Promise<void> {
this.isReceiving = false;
await this.producer.close();
await this.consumer.close();
}
}from azure.eventhub import EventHubProducerClient, EventHubConsumerClient
from azure.eventhub import EventData
import json
import asyncio
from typing import Callable, Dict, Any
import logging
class EventHubsMcpTransport:
def __init__(
self,
connection_string: str,
eventhub_name: str,
consumer_group: str = "$Default"
):
self.producer = EventHubProducerClient.from_connection_string(
connection_string,
eventhub_name=eventhub_name
)
self.consumer = EventHubConsumerClient.from_connection_string(
connection_string,
consumer_group=consumer_group,
eventhub_name=eventhub_name
)
self.is_receiving = False
async def send_message(self, message: Dict[str, Any]) -> None:
"""Send MCP message via Event Hubs"""
event_data = EventData(json.dumps(message))
# Add MCP-specific properties
event_data.properties = {
"messageType": message.get("method", "response"),
"messageId": message.get("id"),
"timestamp": "2025-01-14T10:30:00Z" # Use actual timestamp
}
async with self.producer:
event_data_batch = await self.producer.create_batch()
event_data_batch.add(event_data)
await self.producer.send_batch(event_data_batch)
async def start_receiving(
self,
message_handler: Callable[[Dict[str, Any]], None]
) -> None:
"""Start receiving MCP messages from Event Hubs"""
if self.is_receiving:
return
self.is_receiving = True
async with self.consumer:
await self.consumer.receive(
on_event=self._on_event_received(message_handler),
starting_position="-1" # Start from beginning
)
def _on_event_received(self, handler: Callable):
"""Internal event handler wrapper"""
async def handle_event(partition_context, event):
try:
# Parse MCP message from Event Hubs event
message_body = event.body_as_str(encoding='UTF-8')
mcp_message = json.loads(message_body)
# Process MCP message
await handler(mcp_message)
# Update checkpoint for at-least-once delivery
await partition_context.update_checkpoint(event)
except Exception as e:
logging.error(f"Error processing Event Hubs message: {e}")
return handle_event
async def close(self) -> None:
"""Clean up transport resources"""
self.is_receiving = False
await self.producer.close()
await self.consumer.close()// Implementing message durability with retry logic
public class ReliableTransportWrapper : IMcpTransport
{
private readonly IMcpTransport _innerTransport;
private readonly RetryPolicy _retryPolicy;
public async Task SendMessageAsync(McpMessage message)
{
await _retryPolicy.ExecuteAsync(async () =>
{
try
{
await _innerTransport.SendMessageAsync(message);
}
catch (TransportException ex) when (ex.IsRetryable)
{
// Log and retry
throw;
}
});
}
}// Integrating Azure Key Vault for transport security
public class SecureTransportFactory
{
private readonly SecretClient _keyVaultClient;
public async Task<IMcpTransport> CreateEventGridTransportAsync()
{
var accessKey = await _keyVaultClient.GetSecretAsync("EventGridAccessKey");
var topicEndpoint = await _keyVaultClient.GetSecretAsync("EventGridTopic");
return new EventGridMcpTransport(
topicEndpoint.Value.Value,
accessKey.Value.Value,
Environment.MachineName
);
}
}// Adding telemetry to custom transports
public class ObservableTransport : IMcpTransport
{
private readonly IMcpTransport _transport;
private readonly ILogger _logger;
private readonly TelemetryClient _telemetryClient;
public async Task SendMessageAsync(McpMessage message)
{
using var activity = Activity.StartActivity("MCP.Transport.Send");
activity?.SetTag("transport.type", "EventGrid");
activity?.SetTag("message.method", message.Method);
var stopwatch = Stopwatch.StartNew();
try
{
await _transport.SendMessageAsync(message);
_telemetryClient.TrackDependency(
"EventGrid",
"SendMessage",
DateTime.UtcNow.Subtract(stopwatch.Elapsed),
stopwatch.Elapsed,
true
);
}
catch (Exception ex)
{
_telemetryClient.TrackException(ex);
throw;
}
}
}Menggunakan Azure Event Grid untuk mendistribusikan permintaan MCP ke beberapa node pemrosesan:
Architecture:
- MCP Client sends requests to Event Grid topic
- Multiple Azure Functions subscribe to process different tool types
- Results aggregated and returned via separate response topic
Benefits:
- Horizontal scaling based on message volume
- Fault tolerance through redundant processors
- Cost optimization with serverless computeMenggunakan Azure Event Hubs untuk interaksi MCP dengan frekuensi tinggi:
Architecture:
- MCP Client streams continuous requests via Event Hubs
- Stream Analytics processes and routes messages
- Multiple consumers handle different aspect of processing
Benefits:
- Low latency for real-time scenarios
- High throughput for batch processing
- Built-in partitioning for parallel processingMenggabungkan beberapa transportasi untuk berbagai kasus penggunaan:
public class HybridMcpTransport : IMcpTransport
{
private readonly IMcpTransport _realtimeTransport; // Event Hubs
private readonly IMcpTransport _batchTransport; // Event Grid
private readonly IMcpTransport _fallbackTransport; // HTTP Streaming
public async Task SendMessageAsync(McpMessage message)
{
// Route based on message characteristics
var transport = message.Method switch
{
"tools/call" when IsRealtime(message) => _realtimeTransport,
"resources/read" when IsBatch(message) => _batchTransport,
_ => _fallbackTransport
};
await transport.SendMessageAsync(message);
}
}public class BatchingEventGridTransport : IMcpTransport
{
private readonly List<McpMessage> _messageBuffer = new();
private readonly Timer _flushTimer;
private const int MaxBatchSize = 100;
public async Task SendMessageAsync(McpMessage message)
{
lock (_messageBuffer)
{
_messageBuffer.Add(message);
if (_messageBuffer.Count >= MaxBatchSize)
{
_ = Task.Run(FlushMessages);
}
}
}
private async Task FlushMessages()
{
List<McpMessage> toSend;
lock (_messageBuffer)
{
toSend = new List<McpMessage>(_messageBuffer);
_messageBuffer.Clear();
}
if (toSend.Any())
{
var events = toSend.Select(CreateEventGridEvent);
await _publisher.SendEventsAsync(events);
}
}
}public class PartitionedEventHubsTransport : IMcpTransport
{
public async Task SendMessageAsync(McpMessage message)
{
// Partition by client ID for session affinity
var partitionKey = ExtractClientId(message);
var eventData = new EventData(JsonSerializer.SerializeToUtf8Bytes(message))
{
PartitionKey = partitionKey
};
await _producer.SendAsync(new[] { eventData });
}
}[Test]
public async Task EventGridTransport_SendMessage_PublishesCorrectEvent()
{
// Arrange
var mockPublisher = new Mock<EventGridPublisherClient>();
var transport = new EventGridMcpTransport(mockPublisher.Object);
var message = new McpMessage { Method = "tools/list", Id = "test-123" };
// Act
await transport.SendMessageAsync(message);
// Assert
mockPublisher.Verify(
x => x.SendEventAsync(
It.Is<EventGridEvent>(e =>
e.EventType == "MCP.MessageReceived" &&
e.Subject == "mcp/test-client"
)
),
Times.Once
);
}[Test]
public async Task EventHubsTransport_IntegrationTest()
{
// Using Testcontainers for integration testing
var eventHubsContainer = new EventHubsContainer()
.WithEventHub("test-hub");
await eventHubsContainer.StartAsync();
var transport = new EventHubsMcpTransport(
eventHubsContainer.GetConnectionString(),
"test-hub"
);
// Test message round-trip
var sentMessage = new McpMessage { Method = "test", Id = "123" };
McpMessage receivedMessage = null;
await transport.StartReceivingAsync(msg => {
receivedMessage = msg;
return Task.CompletedTask;
});
await transport.SendMessageAsync(sentMessage);
await Task.Delay(1000); // Allow for message processing
Assert.That(receivedMessage?.Id, Is.EqualTo("123"));
}- Idempotensi: Pastikan pemrosesan pesan bersifat idempoten untuk menangani duplikasi
- Penanganan Kesalahan: Implementasikan penanganan kesalahan yang komprehensif dan antrean pesan gagal
- Pemantauan: Tambahkan telemetri yang mendetail dan pemeriksaan kesehatan
- Keamanan: Gunakan identitas terkelola dan akses dengan hak istimewa minimum
- Performa: Rancang sesuai kebutuhan latensi dan throughput spesifik Anda
- Gunakan Identitas Terkelola: Hindari string koneksi di lingkungan produksi
- Implementasikan Circuit Breakers: Lindungi dari gangguan layanan Azure
- Pantau Biaya: Lacak volume pesan dan biaya pemrosesan
- Rencanakan Skalabilitas: Rancang strategi partisi dan skalabilitas sejak awal
- Uji Secara Menyeluruh: Gunakan Azure DevTest Labs untuk pengujian yang komprehensif
Transportasi MCP khusus memungkinkan skenario perusahaan yang kuat menggunakan layanan pesan Azure. Dengan mengimplementasikan transportasi Event Grid atau Event Hubs, Anda dapat membangun solusi MCP yang skalabel dan andal yang terintegrasi dengan infrastruktur Azure yang ada.
Contoh yang diberikan menunjukkan pola siap produksi untuk mengimplementasikan transportasi khusus sambil mempertahankan kepatuhan protokol MCP dan praktik terbaik Azure.
- Spesifikasi MCP 2025-06-18
- Dokumentasi Azure Event Grid
- Dokumentasi Azure Event Hubs
- Azure Functions Event Grid Trigger
- Azure SDK untuk .NET
- Azure SDK untuk TypeScript
- Azure SDK untuk Python
Panduan ini berfokus pada pola implementasi praktis untuk sistem MCP produksi. Selalu validasi implementasi transportasi terhadap kebutuhan spesifik Anda dan batas layanan Azure. Standar Saat Ini: Panduan ini mencerminkan Spesifikasi MCP 2025-06-18 persyaratan transportasi dan pola transportasi lanjutan untuk lingkungan perusahaan.
Penafian:
Dokumen ini telah diterjemahkan menggunakan layanan penerjemahan AI Co-op Translator. Meskipun kami berusaha untuk memberikan hasil yang akurat, harap diperhatikan bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini.