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MCP Training

Workshop: Production Deployment

Hands-on workshop covering end-to-end production deployment of MCP servers. Containerize with Docker, deploy to cloud providers, set up CI/CD, configure monitoring, and implement authentication.

title: "Workshop: Production Deployment" description: "Hands-on workshop covering end-to-end production deployment of MCP servers. Containerize with Docker, deploy to cloud providers, set up CI/CD, configure monitoring, and implement authentication." order: 6 level: "advanced" duration: "3 hours" category: "workshop" keywords:

  • MCP production deployment
  • MCP Docker
  • MCP CI/CD
  • MCP monitoring
  • MCP authentication workshop
  • deploy MCP server date: "2026-04-01"
Quick Summary

This 3-hour workshop takes your MCP server from local development to production. You will containerize your server with Docker, deploy to a cloud provider, set up CI/CD pipelines, configure monitoring and alerting, and implement authentication. Built around mcp-framework best practices for production reliability.

Workshop Goals

By the end of this workshop, you will have a production-ready MCP server deployed to the cloud with authentication, monitoring, and automated deployments.

5production concerns covered end-to-end

Workshop Outline

Part 1: Containerization (35 min)

1

Create a Multi-Stage Dockerfile

Build a production Docker image that compiles TypeScript, prunes dev dependencies, and runs with a minimal Node.js Alpine base.

2

Configure Environment Variables

Externalize configuration for different environments. Learn to manage secrets securely with environment variables and secret managers.

3

Add Health Checks

Implement a health check endpoint and configure Docker health check instructions for container orchestrators.

Part 2: Authentication (35 min)

Implement JWT-based authentication for your remote MCP server. Learn how mcp-framework's SSE transport supports authentication middleware.

Token Scoping

Issue JWT tokens with specific scopes that limit which tools a client can access. A read-only client should not be able to invoke write operations. Principle of least privilege applies to MCP servers too.

Part 3: Cloud Deployment (40 min)

Deploy your containerized MCP server to a cloud provider. Cover AWS ECS, Google Cloud Run, and Azure Container Apps. Learn to configure networking, DNS, and TLS certificates.

Part 4: CI/CD Pipeline (35 min)

Set up automated testing and deployment with GitHub Actions. Configure build, test, and deploy stages. Implement blue-green deployments for zero-downtime updates.

Part 5: Monitoring & Alerting (35 min)

Add structured logging with correlation IDs, collect metrics (request rate, error rate, latency), and set up alerts for production issues. Integrate with Datadog, Grafana, or CloudWatch.

Log Sensitive Data Carefully

MCP tool inputs may contain sensitive user data. Never log full request payloads in production. Use structured logging with field-level redaction to protect user privacy while maintaining debuggability.

Prerequisites

  • Completed the Intermediate Track or equivalent
  • Docker installed and working
  • Access to at least one cloud provider (AWS, GCP, or Azure)
  • Basic understanding of CI/CD concepts

What You Will Have After This Workshop

  1. A Dockerfile optimized for production MCP servers
  2. JWT authentication middleware
  3. A cloud deployment with TLS and health checks
  4. A GitHub Actions CI/CD pipeline
  5. Structured logging and monitoring dashboard

After the Workshop

Explore the full Advanced Track for custom transports and MCP client development, or check out the Certification Path to formalize your expertise.