design-mcp-workflow
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npx mdskill add anthropics/knowledge-work-plugins/design-mcp-workflowDetermine if Zoom's Model-Controlled Protocol (MCP) is best for agentic workflows over direct APIs.
- Assesses if a task requires agentic tooling versus deterministic automation.
- Guides separation between MCP responsibilities and standard REST API calls.
- Routes workflows by assessing needs for pure MCP, hybrid, or whiteboard routing.
- Explicitly calls out necessary transport, authentication, and client capabilities.
SKILL.md
.github/skills/design-mcp-workflowView on GitHub ↗
--- name: design-mcp-workflow description: 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. user-invocable: false --- # 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](../zoom-mcp/SKILL.md). 3. Route hybrid tasks to both [zoom-mcp](../zoom-mcp/SKILL.md) and [rest-api](../rest-api/SKILL.md). 4. If Whiteboard is central, route to [zoom-mcp/whiteboard](../zoom-mcp/whiteboard/SKILL.md). 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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