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Artificial Intelligence and Applied AI
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Advanced Model Context Protocol (MCP) Implementation

Advanced Model Context Protocol (MCP) Implementation

A practical three day technical course for participants who already understand the fundamentals of Model Context Protocol and want to design, implement, secure, and operate more capable MCP integrations. The agenda focuses on server and client architecture, tool and resource design, transports, authentication, external system integration, testing, observability, deployment, and production readiness. The course emphasizes maintainable implementation patterns rather than protocol theory alone.

What will you learn?

You will learn how to design and implement robust MCP servers and clients that expose useful capabilities to AI applications. You will work with structured tools, resources, prompts, transports, authentication, external APIs, and operational controls while understanding how the protocol behaves at runtime. You will also strengthen your ability to test, troubleshoot, secure, deploy, and maintain MCP integrations in production environments.

  • Design and implement maintainable MCP server and client architectures
  • Build structured tools, resources, prompts, and external system integrations
  • Apply authentication, authorization, validation, and security controls
  • Test, observe, deploy, and operate MCP services in production environments

Requirements:

  • Basic knowledge of Model Context Protocol concepts, including clients, servers, tools, resources, and prompts
  • Practical programming experience in a language such as TypeScript, Python, C#, or Go
  • General understanding of APIs, JSON, HTTP, and application integration
  • Familiarity with authentication and cloud application concepts is helpful

Course Outline*:

*We customize the course outline and content to your specific needs and relevant use cases.

Module 1: MCP architecture for production implementations

  • Reviewing host, client, and server responsibilities from an implementation perspective
  • Designing boundaries between MCP servers, AI applications, and downstream business systems
  • Understanding capability discovery, requests, responses, notifications, and protocol metadata
  • Choosing between one focused server and multiple domain specific MCP services

Module 2: Building maintainable MCP servers

  • Structuring an MCP server using an official SDK and clear application layers
  • Separating protocol handling from business logic and downstream integrations
  • Managing configuration, dependencies, errors, and reusable service components
  • Designing server capabilities so they remain understandable as the implementation grows

Module 3: Advanced tool design and schema handling

  • Designing focused tools with clear names, descriptions, inputs, and structured outputs
  • Creating input schemas that constrain model generated arguments appropriately
  • Validating parameters and returning useful success and error information
  • Distinguishing read operations, state changing actions, and sensitive operations

Module 4: Resources, prompts, and context architecture

  • Designing resources for structured access to documents, records, and application data
  • Using resource URIs and metadata to organize accessible information
  • Creating reusable prompts for controlled and repeatable interaction patterns
  • Deciding when a requirement belongs in a tool, resource, prompt, or application layer

Module 5: Local and remote transport architecture

  • Implementing local MCP integrations with stdio
  • Designing remote services with Streamable HTTP
  • Understanding stateless request handling and implications for scalable server design
  • Separating application state from transport state when workflows need continuity

Module 6: Building MCP clients and consuming capabilities

  • Connecting clients to local and remote MCP servers
  • Discovering tools, prompts, and resources programmatically
  • Calling tools, reading resources, and processing structured responses
  • Handling failures, retries, timeouts, and unavailable capabilities cleanly

Module 7: Integrating APIs, databases, and enterprise systems

  • Wrapping existing APIs and services as focused MCP capabilities
  • Connecting MCP servers to databases and internal business systems safely
  • Transforming downstream responses into model friendly structured outputs
  • Managing credentials, connection configuration, and downstream errors without leaking implementation details

Module 8: Authentication, authorization, and MCP security

  • Protecting remote MCP servers with appropriate authentication mechanisms
  • Validating tokens and applying authorization at server and capability level
  • Applying least privilege to tools, data sources, and external system access
  • Defending against unsafe parameters, unintended actions, sensitive data exposure, and excessive capability scope

Module 9: Multi step interactions and advanced protocol behavior

  • Designing capabilities that require additional information or user confirmation
  • Understanding modern multi round trip interaction patterns
  • Managing explicit workflow handles when state must continue across calls
  • Keeping multi step interactions predictable and auditable

Module 10: Testing and debugging MCP implementations

  • Testing tools, resources, prompts, schemas, and transport behavior independently
  • Creating predictable success, validation, authorization, and failure test cases
  • Diagnosing protocol errors separately from downstream application errors
  • Building integration tests for realistic client to server workflows

Module 11: Logging, tracing, and operational visibility

  • Designing structured logs around requests, tools, downstream calls, and failures
  • Correlating activity across MCP clients, servers, and external services
  • Using tracing and operational metadata to investigate latency and reliability problems
  • Defining useful metrics for availability, tool execution, errors, and performance

Module 12: Deployment, compatibility, and production readiness

  • Packaging and deploying remote MCP servers behind controlled infrastructure
  • Considering gateways, rate limits, routing, secrets, and environment specific configuration
  • Managing protocol and SDK upgrades while maintaining client compatibility
  • Building a practical production readiness checklist for security, testing, monitoring, ownership, and maintenance

Hands-on learning with expert instructors at your location for organizations.

5,922€*
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Level:
advanced
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Duration:
21
Hours (days:
3
)
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Training customized to your needs
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Immersive hands-on experience in a dedicated setting
*Price can range depending on number of participants, change of outline, location etc.

Master new skills guided by experienced instructors from anywhere.

4,587€*
Graph Icon - Education X Webflow Template
Level:
advanced
Clock Icon - Education X Webflow Template
Duration:
21
Hours (days:
3
)
Camera Icon - Education X Webflow Template
Training customized to your needs
Star Icon - Education X Webflow Template
Reduced training costs
*Price can range depending on number of participants, change of outline, location etc.

Upcoming Sessions

13-15 Jan 2027
Brussels
11-13 Feb 2027
Paris
10-12 Mar 2027
Madrid
30 Mar - 1 Apr 2027
Milan
1-3 Jun 2027
Madrid
17-19 Jun 2027
Milan

Can't find a suitable date? Get in touch and we'll arrange one that works for you.

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