MCP Custom Transports - Geavanceerde Implementatiegids

Het Model Context Protocol (MCP) biedt flexibiliteit in transportmechanismen, waardoor aangepaste implementaties mogelijk zijn voor gespecialiseerde bedrijfsomgevingen. Deze geavanceerde gids verkent aangepaste transportimplementaties met Azure Event Grid en Azure Event Hubs als praktische voorbeelden voor het bouwen van schaalbare, cloud-native MCP-oplossingen.

Introductie

Hoewel de standaardtransporten van MCP (stdio en HTTP-streaming) geschikt zijn voor de meeste toepassingen, vereisen bedrijfsomgevingen vaak gespecialiseerde transportmechanismen voor verbeterde schaalbaarheid, betrouwbaarheid en integratie met bestaande cloudinfrastructuur. Aangepaste transporten stellen MCP in staat om gebruik te maken van cloud-native berichtendiensten voor asynchrone communicatie, event-driven architecturen en gedistribueerde verwerking.

Deze les verkent geavanceerde transportimplementaties op basis van de nieuwste MCP-specificatie (2025-06-18), Azure-berichtendiensten en gevestigde bedrijfsintegratiepatronen.

MCP Transportarchitectuur

Uit MCP Specificatie (2025-06-18):

Standaardtransporten: stdio (aanbevolen), HTTP-streaming (voor externe scenario's)
Aangepaste transporten: Elk transport dat het MCP-berichtuitwisselingsprotocol implementeert
Berichtformaat: JSON-RPC 2.0 met MCP-specifieke uitbreidingen
Bidirectionele communicatie: Volledige duplexcommunicatie vereist voor meldingen en antwoorden

Leerdoelen

Aan het einde van deze geavanceerde les kun je:

Begrijpen van vereisten voor aangepaste transporten: MCP-protocol implementeren over elke transportlaag met behoud van naleving
Azure Event Grid Transport bouwen: Event-driven MCP-servers maken met Azure Event Grid voor serverloze schaalbaarheid
Azure Event Hubs Transport implementeren: High-throughput MCP-oplossingen ontwerpen met Azure Event Hubs voor realtime streaming
Bedrijfspatronen toepassen: Aangepaste transporten integreren met bestaande Azure-infrastructuur en beveiligingsmodellen
Transportbetrouwbaarheid beheren: Berichtduurzaamheid, volgorde en foutafhandeling implementeren voor bedrijfsomgevingen
Prestaties optimaliseren: Transportoplossingen ontwerpen voor schaal, latentie en doorvoereisen

Transportvereisten

Kernvereisten uit MCP Specificatie (2025-06-18):

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 Transport Implementatie

Azure Event Grid biedt een serverloze eventrouteringsdienst die ideaal is voor event-driven MCP-architecturen. Deze implementatie demonstreert hoe schaalbare, losgekoppelde MCP-systemen kunnen worden gebouwd.

Architectuuroverzicht

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

C# Implementatie - Event Grid Transport

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();
    }
}

TypeScript Implementatie - Event Grid Transport

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;
        }
    }
});

Python Implementatie - Event Grid Transport

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}")
        raise

Azure Event Hubs Transport Implementatie

Azure Event Hubs biedt mogelijkheden voor high-throughput, realtime streaming voor MCP-scenario's die lage latentie en een hoog berichtvolume vereisen.

Architectuuroverzicht

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

C# Implementatie - Event Hubs Transport

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();
    }
}

TypeScript Implementatie - Event Hubs Transport

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();
    }
}

Python Implementatie - Event Hubs Transport

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()

Geavanceerde Transportpatronen

Berichtduurzaamheid en betrouwbaarheid

// 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;
            }
        });
    }
}

Transportbeveiligingsintegratie

// 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
        );
    }
}

Transportmonitoring en observatie

// 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;
        }
    }
}

Bedrijfsintegratiescenario's

Scenario 1: Gedistribueerde MCP-verwerking

Azure Event Grid gebruiken om MCP-verzoeken te distribueren over meerdere verwerkingsknooppunten:

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 compute

Scenario 2: Realtime MCP-streaming

Azure Event Hubs gebruiken voor MCP-interacties met hoge frequentie:

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 processing

Scenario 3: Hybride transportarchitectuur

Meerdere transporten combineren voor verschillende toepassingen:

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);
    }
}

Prestatieoptimalisatie

Berichtbatching voor Event Grid

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);
        }
    }
}

Partitioneringsstrategie voor Event Hubs

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 });
    }
}

Testen van Aangepaste Transporten

Unit Testing met Test Doubles

[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
    );
}

Integratietesten met Azure Test Containers

[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"));
}

Best Practices en Richtlijnen

Transportontwerpprincipes

Idempotentie: Zorg ervoor dat berichtverwerking idempotent is om duplicaten te verwerken
Foutafhandeling: Implementeer uitgebreide foutafhandeling en dead letter queues
Monitoring: Voeg gedetailleerde telemetrie en gezondheidscontroles toe
Beveiliging: Gebruik beheerde identiteiten en toegang met het minste privilege
Prestaties: Ontwerp voor specifieke latentie- en doorvoereisen

Azure-specifieke aanbevelingen

Gebruik Beheerde Identiteit: Vermijd verbindingsstrings in productie
Implementeer Circuit Breakers: Bescherm tegen Azure-serviceonderbrekingen
Monitor Kosten: Houd berichtvolume en verwerkingskosten bij
Plan voor Schaal: Ontwerp partitionerings- en schaalstrategieën vroeg
Test Grondig: Gebruik Azure DevTest Labs voor uitgebreide tests

Conclusie

Aangepaste MCP-transporten maken krachtige bedrijfsomgevingen mogelijk met behulp van Azure's berichtendiensten. Door Event Grid- of Event Hubs-transporten te implementeren, kun je schaalbare, betrouwbare MCP-oplossingen bouwen die naadloos integreren met bestaande Azure-infrastructuur.

De verstrekte voorbeelden demonstreren productieklare patronen voor het implementeren van aangepaste transporten, terwijl naleving van het MCP-protocol en Azure best practices wordt gehandhaafd.

Aanvullende Bronnen

Deze gids richt zich op praktische implementatiepatronen voor productie-MCP-systemen. Valideer transportimplementaties altijd op basis van uw specifieke vereisten en Azure-servicelimieten. Huidige Standaard: Deze gids weerspiegelt MCP Specificatie 2025-06-18 transportvereisten en geavanceerde transportpatronen voor bedrijfsomgevingen.

Wat Nu

6. Community Bijdragen

Disclaimer:
Dit document is vertaald met behulp van de AI-vertalingsservice Co-op Translator. Hoewel we streven naar nauwkeurigheid, dient u zich ervan bewust te zijn dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in de oorspronkelijke taal moet worden beschouwd als de gezaghebbende bron. Voor kritieke informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor eventuele misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.

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MCP Custom Transports - Geavanceerde Implementatiegids

Introductie

MCP Transportarchitectuur

Leerdoelen

Transportvereisten

Kernvereisten uit MCP Specificatie (2025-06-18):

Azure Event Grid Transport Implementatie

Architectuuroverzicht

C# Implementatie - Event Grid Transport

TypeScript Implementatie - Event Grid Transport

Python Implementatie - Event Grid Transport

Azure Event Hubs Transport Implementatie

Architectuuroverzicht

C# Implementatie - Event Hubs Transport

TypeScript Implementatie - Event Hubs Transport

Python Implementatie - Event Hubs Transport

Geavanceerde Transportpatronen

Berichtduurzaamheid en betrouwbaarheid

Transportbeveiligingsintegratie

Transportmonitoring en observatie

Bedrijfsintegratiescenario's

Scenario 1: Gedistribueerde MCP-verwerking

Scenario 2: Realtime MCP-streaming

Scenario 3: Hybride transportarchitectuur

Prestatieoptimalisatie

Berichtbatching voor Event Grid

Partitioneringsstrategie voor Event Hubs

Testen van Aangepaste Transporten

Unit Testing met Test Doubles

Integratietesten met Azure Test Containers

Best Practices en Richtlijnen

Transportontwerpprincipes

Azure-specifieke aanbevelingen

Conclusie

Aanvullende Bronnen

Wat Nu