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Duration 14 hours
Course Outline
MCP Fundamentals and Enterprise Applications
- An overview of the Model Context Protocol and its role in enterprise AI integration
- The interaction between MCP servers and clients with models, tools, and backend systems
- Typical use cases, advantages, and limitations in team-oriented environments
- Essential design factors for production adoption
Architecting MCP Servers and Clients
- Establishing capabilities, contracts, and distinct responsibilities between server and client components
- Organizing tools, resources, and prompts to enhance maintainability and reuse
- Implementing validation, consistent outputs, and informative error responses
- Creating workflows suitable for team ownership and support
Ensuring Reliability and Security in Production
- Managing failures, invalid requests, and issues with downstream services
- Utilizing timeouts, retries, fallback strategies, and secure processing patterns
- Applying basic principles of authentication, authorization, and secret management
- Facilitating auditability and regulated access to enterprise tools and data
Deployment, Observability, and Operations
- Packaging and deploying MCP services in local, containerized, or cloud-based environments
- Managing configuration, environmental variations, and release workflows
- Implementing logs, metrics, health checks, and alerting for runtime visibility
- Diagnosing common operational issues across clients and backend integrations
Testing, Versioning, and Change Control
- Developing unit, integration, and contract tests for MCP workflows
- Overseeing interface changes and ensuring long-term compatibility
- Verifying releases prior to rollout to minimize upgrade risks
- Employing practical readiness checks for ongoing support and maintenance
Practical Implementation Workshop
- Constructing a basic enterprise-ready MCP server and client workflow
- Applying validation, resilience, security, and observability best practices
- Evaluating a production readiness checklist
- Planning subsequent steps for adoption within internal teams and platforms
Requirements
- Understanding of APIs, JSON, and fundamental client-server integration concepts
- Experience with command-line tools, Git, and basic application deployment processes
- Basic programming proficiency in Python, JavaScript, or a comparable language
Target Audience
- Software developers creating MCP-enabled applications and integrations
- Solution architects and technical leads overseeing enterprise AI integration
- Platform, DevOps, and engineering teams responsible for maintaining production MCP services
