MCP Mastery Assessment

A learner has a strong working understanding of MCP when they can answer and demonstrate the following:

Explain what MCP standardizes and why custom integrations become difficult to scale.

Explain the universal-connector analogy and identify the benefits of interoperability, consistency, reusability, and faster development.

Identify the host, client, and server in a real application.

Trace a user request from the host to the model, through the MCP client, to the server, and back to the final response.

Distinguish tools, resources, and prompts.

Choose the correct feature for an executable action, read-only context, or reusable model workflow.

Explain how a database or spreadsheet server can combine all three features.

Describe initialization, capability negotiation, message exchange, and termination.

Explain the role of JSON-RPC.

Compare local standard input/output, server-sent events, streamable HTTP, and WebSocket streaming.

Explain the difference between stateful and stateless interaction.

Connect an existing server to a compatible host and invoke one of its capabilities.

Build a no-code server with a calculator and email tool.

Explain why the described no-code implementation cannot provide the same resources and prompt templates as a coded server.

Build a coded server and register tools, resources, and prompts with an SDK.

Use MCP Inspector to list and invoke server capabilities.

Describe unit, schema, integration, end-to-end, and performance testing.

Test successful requests, edge cases, errors, and rate limits.

Explain why token pass-through is forbidden and why the server should accept tokens issued specifically for it.

Apply least privilege and role-based access control.

Explain indirect prompt injection, tool poisoning, and rug-pull attacks.

Describe detection and filtering, spotlighting, delimiters, data marking, secure pipelines, vulnerability scanning, logging, monitoring, multifactor authentication, patching, and zero trust.

Design focused tools with clear descriptions, constrained schemas, consistent return structures, dependency injection, and composability.

Use structured errors, retries with exponential backoff, caching, asynchronous processing, and throttling.

Apply chain, dispatcher, parallel-processing, fallback, and composition patterns.

Deploy a server locally and in the cloud, place API management in front of it, and explain horizontal scaling, container orchestration, and load balancing.

Design an agentic workflow that chooses among external tools.

Describe how MCP supports real-time data, multimodal systems, enterprise integration, and model-provider routing.

Package or contribute a reusable MCP component and document compatibility and breaking changes.

The objective is not merely to connect a tool. It is to build an MCP capability that is reusable, testable, secure, maintainable, and suitable for the environment in which it will operate.