Design an MCP server for internal knowledge and issue tracking resources.

Instruction: Separate knowledge retrieval from issue mutation, with limited outputs and citations tied to accessible documents.

Context: Expose internal documents and tickets through MCP while preserving document access and keeping retrieved instructions from authorizing writes.

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I would expose document search and bounded excerpt retrieval separately from ticket lookup and updates. Search results would carry document IDs, source links, and freshness information. The server checks access before returning results and again before reading a selected excerpt.

Ticket mutations would have explicit inputs, allowed transitions,...

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Your preparation path

Work through these questions in order. Read the answer aloud, then explain it in your own words.

1. Start with the foundations

Build the vocabulary and explain the core decisions.

  1. When should a model call a tool instead of answering from context? Free sample
  2. How would you explain MCP to a product engineer in one minute? Free sample
  3. What information should the orchestrator validate before executing a tool call? Free sample

2. Apply it to a real workflow

Practice diagnosis, validation, and everyday tradeoffs.

  1. Why do idempotency and retries matter more with AI-driven tool use? Free sample
  2. How do you keep permission boundaries clear when many tools share overlapping capabilities? Member answer
  3. A user revokes access to a connected app mid-session. How should the AI workflow behave? Member answer

3. Prepare for senior discussions

Explain failure boundaries, recovery, and production choices.

  1. Design a fallback strategy when tools are unavailable, degraded, or unauthorized. Member answer
  2. How do you implement MCP step-up authorization without losing scopes or retrying forever? Member answer
  3. An MCP request resumes after user confirmation. How would you validate its requestState? Member answer

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