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Course Outline
MCP Foundations and Enterprise Use Cases
- What the Model Context Protocol is and where it fits in enterprise AI integration
- How MCP servers and clients interact with models, tools, and backend systems
- Common use cases, benefits, and constraints in team-based environments
- Key design considerations for production adoption
Designing MCP Servers and Clients
- Defining capabilities, contracts, and clear responsibilities between server and client components
- Structuring tools, resources, and prompts for maintainability and reuse
- Applying validation, consistent outputs, and useful error responses
- Designing workflows that are practical for team ownership and support
Reliability and Security in Production
- Handling failures, invalid requests, and downstream service issues
- Using timeouts, retries, fallback strategies, and safe processing patterns
- Applying authentication, authorization, and secret handling basics
- Supporting auditability and controlled access to enterprise tools and data
Deployment, Observability, and Operations
- Packaging and deploying MCP services in local, containerized, or cloud environments
- Managing configuration, environment differences, and release workflows
- Implementing logs, metrics, health checks, and alerting for runtime visibility
- Troubleshooting common operational issues across clients and backend integrations
Testing, Versioning, and Change Management
- Creating unit, integration, and contract tests for MCP workflows
- Managing interface changes and compatibility over time
- Validating releases before rollout and reducing upgrade risk
- Using practical readiness checks for ongoing support and maintenance
Hands-On Implementation Workshop
- Building a simple enterprise-ready MCP server and client workflow
- Applying validation, resilience, security, and observability practices
- Reviewing a production readiness checklist
- Planning next steps for adoption within internal teams and platforms
Requirements
- Familiarity with APIs, JSON, and basic client-server integration concepts
- Experience using command-line tools, Git, and basic application deployment workflows
- Basic programming experience in Python, JavaScript, or a similar language
Audience
- Software developers building MCP-enabled applications and integrations
- Solution architects and technical leads responsible for enterprise AI integration
- Platform, DevOps, and engineering teams supporting production MCP services
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 2600 € + VAT*
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