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MCP Egendefinerte Transporter - Avansert Implementasjonsveiledning

Model Context Protocol (MCP) gir fleksibilitet i transportmekanismer, og tillater egendefinerte implementasjoner for spesialiserte bedriftsmiljøer. Denne avanserte veiledningen utforsker egendefinerte transportimplementasjoner ved bruk av Azure Event Grid og Azure Event Hubs som praktiske eksempler for å bygge skalerbare, sky-native MCP-løsninger.

Introduksjon

Mens MCPs standardtransporter (stdio og HTTP streaming) dekker de fleste bruksområder, krever bedriftsmiljøer ofte spesialiserte transportmekanismer for forbedret skalerbarhet, pålitelighet og integrasjon med eksisterende skyinfrastruktur. Egendefinerte transporter gjør det mulig for MCP å utnytte sky-native meldings tjenester for asynkron kommunikasjon, hendelsesdrevne arkitekturer og distribuert behandling.

Denne leksjonen utforsker avanserte transportimplementasjoner basert på den nyeste MCP-spesifikasjonen (2025-11-25), Azure meldings tjenester og etablerte bedriftsintegrasjonsmønstre.

MCP Transportarkitektur

Fra MCP-spesifikasjonen (2025-11-25):

  • Standardtransporter: stdio (anbefalt), HTTP streaming (for eksterne scenarier)
  • Egendefinerte transporter: Enhver transport som implementerer MCP meldingsutvekslingsprotokoll
  • Meldingsformat: JSON-RPC 2.0 med MCP-spesifikke utvidelser
  • Toveis kommunikasjon: Full dupleks kommunikasjon kreves for varsler og svar

Læringsmål

Ved slutten av denne avanserte leksjonen vil du kunne:

  • Forstå krav til egendefinerte transporter: Implementere MCP-protokoll over hvilken som helst transportlag samtidig som du opprettholder samsvar
  • Bygge Azure Event Grid Transport: Lage hendelsesdrevne MCP-servere ved bruk av Azure Event Grid for serverløs skalerbarhet
  • Implementere Azure Event Hubs Transport: Designe høy gjennomstrømming MCP-løsninger ved bruk av Azure Event Hubs for sanntidsstrømming
  • Anvende bedriftsmønstre: Integrere egendefinerte transporter med eksisterende Azure-infrastruktur og sikkerhetsmodeller
  • Håndtere transportpålitelighet: Implementere meldingsholdbarhet, rekkefølge og feilhåndtering for bedrifts scenarier
  • Optimalisere ytelse: Designe transportløsninger for skala, latenstid og gjennomstrømmingskrav

Transportkrav

Kjernekrav fra MCP-spesifikasjonen (2025-11-25):

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 Transportimplementasjon

Azure Event Grid tilbyr en serverløs hendelsesrutingstjeneste ideell for hendelsesdrevne MCP-arkitekturer. Denne implementasjonen demonstrerer hvordan man bygger skalerbare, løst koblede MCP-systemer.

Arkitekturoversikt

graph TB
    Client[MCP-klient] --> EG[Azure Event Grid]
    EG --> Server[MCP Server-funksjon]
    Server --> EG
    EG --> Client
    
    subgraph "Azure-tjenester"
        EG
        Server
        KV[Nøkkellager]
        Monitor[Applikasjonsinnsikt]
    end
Loading

C# Implementasjon - 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 Implementasjon - 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]);
    }
    
    // Hendelsesdrevet mottak via Azure Functions
    onMessage(handler: (message: McpMessage) => Promise<void>): void {
        // Implementeringen vil bruke Azure Functions Event Grid-trigger
        // Dette er et konseptuelt grensesnitt for webhook-mottakeren
    }
}

// Azure Functions-implementering
import { app, InvocationContext, EventGridEvent } from "@azure/functions";

app.eventGrid("mcpEventGridHandler", {
    handler: async (event: EventGridEvent, context: InvocationContext) => {
        try {
            const mcpMessage = event.data as McpMessage;
            
            // Behandle MCP-melding
            const response = await mcpServer.processMessage(mcpMessage);
            
            // Send svar via Event Grid
            await transport.sendMessage(response);
            
        } catch (error) {
            context.error("Error processing MCP message:", error);
            throw error;
        }
    }
});

Python Implementasjon - 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

# Implementering av Azure Functions
import azure.functions as func
import logging

def main(event: func.EventGridEvent) -> None:
    """Azure Functions Event Grid trigger for MCP messages"""
    try:
        # Analyser MCP-melding fra Event Grid-hendelse
        mcp_message = json.loads(event.get_body().decode('utf-8'))
        
        # Behandle MCP-melding
        response = process_mcp_message(mcp_message)
        
        # Send svar tilbake via Event Grid
        # (Implementeringen ville opprette en ny Event Grid-klient)
        
    except Exception as e:
        logging.error(f"Error processing MCP Event Grid message: {e}")
        raise

Azure Event Hubs Transportimplementasjon

Azure Event Hubs tilbyr høy gjennomstrømming og sanntidsstrømmingsmuligheter for MCP-scenarier som krever lav latenstid og høyt meldingsvolum.

Arkitekturoversikt

graph TB
    Client[MCP-klient] --> EH[Azure Event Hubs]
    EH --> Server[MCP-server]
    Server --> EH
    EH --> Client
    
    subgraph "Funksjoner i Event Hubs"
        Partition[Partisjonering]
        Retention[Meldingslagring]
        Scaling[Autoskalering]
    end
    
    EH --> Partition
    EH --> Retention
    EH --> Scaling
Loading

C# Implementasjon - 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 Implementasjon - 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);
                        
                        // Oppdater sjekkpunkt for minst-en-gang levering
                        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 Implementasjon - 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))
        
        # Legg til MCP-spesifikke egenskaper
        event_data.properties = {
            "messageType": message.get("method", "response"),
            "messageId": message.get("id"),
            "timestamp": "2025-01-14T10:30:00Z"  # Bruk faktisk tidsstempel
        }
        
        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 fra begynnelsen
            )
    
    def _on_event_received(self, handler: Callable):
        """Internal event handler wrapper"""
        async def handle_event(partition_context, event):
            try:
                # Analyser MCP-melding fra Event Hubs-hendelse
                message_body = event.body_as_str(encoding='UTF-8')
                mcp_message = json.loads(message_body)
                
                # Behandle MCP-melding
                await handler(mcp_message)
                
                # Oppdater sjekkpunkt for minst-en-gang levering
                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()

Avanserte Transportmønstre

Meldingsholdbarhet og pålitelighet

// 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;
            }
        });
    }
}

Transport Sikkerhetsintegrasjon

// 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
        );
    }
}

Transportovervåking og observabilitet

// 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;
        }
    }
}

Bedriftsintegrasjonsscenarier

Scenario 1: Distribuert MCP-behandling

Bruke Azure Event Grid for å distribuere MCP-forespørsler på tvers av flere behandlingsnoder:

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: Sanntids MCP-strømming

Bruke Azure Event Hubs for høyfrekvente MCP-interaksjoner:

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: Hybrid transportarkitektur

Kombinere flere transporter for ulike bruksområder:

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);
    }
}

Ytelsesoptimalisering

Meldingsbatching for 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);
        }
    }
}

Partisjoneringsstrategi for 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 });
    }
}

Testing av egendefinerte transporter

Enhetstesting med testdoubler

[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
    );
}

Integrasjonstesting med 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"));
}

Beste praksis og retningslinjer

Transportdesignprinsipper

  1. Idempotens: Sørg for at meldingsbehandling er idempotent for å håndtere duplikater
  2. Feilhåndtering: Implementer omfattende feilhåndtering og køer for døde brev
  3. Overvåking: Legg til detaljert telemetri og helsesjekker
  4. Sikkerhet: Bruk administrerte identiteter og minst privilegium-tilgang
  5. Ytelse: Design for dine spesifikke latenstids- og gjennomstrømmingskrav

Azure-spesifikke anbefalinger

  1. Bruk administrert identitet: Unngå tilkoblingsstrenger i produksjon
  2. Implementer kretsbrytere: Beskytt mot Azure-tjenesteavbrudd
  3. Overvåk kostnader: Følg med på meldingsvolum og behandlingskostnader
  4. Planlegg for skala: Design partisjonering og skaleringsstrategier tidlig
  5. Test grundig: Bruk Azure DevTest Labs for omfattende testing

Konklusjon

Egendefinerte MCP-transporter muliggjør kraftige bedrifts scenarier ved bruk av Azures meldings tjenester. Ved å implementere Event Grid- eller Event Hubs-transporter kan du bygge skalerbare, pålitelige MCP-løsninger som integreres sømløst med eksisterende Azure-infrastruktur.

De oppgitte eksemplene demonstrerer produksjonsklare mønstre for implementering av egendefinerte transporter samtidig som MCP-protokollsamsvar og Azures beste praksis opprettholdes.

Ytterligere ressurser

Denne veiledningen fokuserer på praktiske implementasjonsmønstre for produksjonsklare MCP-systemer. Valider alltid transportimplementasjoner mot dine spesifikke krav og Azure-tjenestebegrensninger. Gjeldende standard: Denne veiledningen reflekterer MCP Specification 2025-06-18 transportkrav og avanserte transportmønstre for bedriftsmiljøer.

Hva er neste

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