Frequently Asked Questions
Common Questions About Implementing the Model Context Protocol
Everything you need to know before registering.
What are the core components I need to implement in MCP? +
The core MCP implementation components are: the MCP server (which exposes tools, resources, and prompts), the MCP client (which connects and invokes tools), tool definitions with typed input and output schemas, resource definitions for shared data access, prompt templates for structured agent instructions, and error types for structured failure handling. This workshop implements all of these in Python during the live session.
How do I define MCP tools correctly for an AI agent? +
MCP tools are defined with a name, description, and typed input schema using JSON Schema. The description is especially important since it is what the LLM uses to decide whether to invoke the tool. The workshop covers tool definition best practices: writing descriptions that are clear to both the LLM and human developers, designing input schemas that prevent invalid invocations, and structuring tool outputs for reliable parsing.
What is the difference between MCP tools and MCP resources? +
MCP tools are invocable functions: the agent calls them with parameters and receives a response. MCP resources are data sources: the agent reads from them to access information. Tools are for actions (call an API, run a calculation). Resources are for knowledge access (read a document, query a knowledge base). The workshop covers when to use each and how to design the interface.
How do I handle MCP errors in production agent orchestration? +
MCP error handling in production requires structured error types that inform the orchestrating agent what went wrong and how to recover. The workshop covers defining custom error types for common failure modes, implementing retry logic with backoff for transient failures, circuit breaker patterns for persistent failures, and human escalation workflows for failures that require intervention.
How do I version MCP interfaces to avoid breaking changes? +
MCP interface versioning is critical for production systems where multiple agent versions may be running simultaneously. The workshop covers semantic versioning for MCP tool schemas, backward compatibility patterns, deprecation workflows, and how to test that schema changes do not break existing agent behaviors before deploying updates.
How do I test my MCP implementation before connecting it to live agents? +
The workshop covers an MCP testing strategy including unit tests for individual tool implementations using mock MCP clients, integration tests for the complete MCP server using the official MCP test client, contract tests that verify schema compatibility between servers and clients, and end-to-end tests that verify agent behavior with the full MCP orchestration layer.
