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design-mcp-workflow

Plan how an AI agent should interact with Zoom through MCP, a protocol for calling tools. Assess task suitability, divide responsibilities between MCP and REST APIs, and identify connection, authentication, and client requirements.

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Design a Zoom MCP workflow for Claude. Use when deciding whether Zoom MCP fits a task, when planning tool-based AI workflows, or when separating MCP responsibilities from REST API responsibilities.

See how to install

Good for

  • Assessing whether MCP fits a Zoom task
  • Dividing work between MCP and REST APIs
  • Planning a Zoom Whiteboard workflow
  • Checking connection and authentication assumptions

Files included (1)

  • SKILL.md1.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Design MCP Workflow

Use this skill when the user wants Claude or another MCP-capable client to interact with Zoom via tool calls instead of only deterministic API code.

Covers

  • MCP fit assessment
  • REST API vs MCP boundaries
  • Hybrid architectures
  • Connector expectations
  • Whiteboard-specific MCP routing

Workflow

  1. Decide whether the problem is agentic tooling, deterministic automation, or both.
  2. Route MCP-only tasks to zoom-mcp.
  3. Route hybrid tasks to both zoom-mcp and rest-api.
  4. If Whiteboard is central, route to zoom-mcp/whiteboard.
  5. Call out transport, auth, and client capability assumptions explicitly.

Common Mistakes

  • Using MCP for deterministic backend jobs that should stay in REST
  • Treating MCP as a replacement for all API design
  • Ignoring client transport support and auth requirements

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