Setup Zoom MCP Skill for Claude
Decide when Zoom MCP is the right fit and produce a safe setup plan for Claude. Use when planning AI workflows over Zoom data, deciding between MCP and REST, or defining a hybrid MCP architecture.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/anthropics/knowledge-work-plugins --skill setup-zoom-mcpThe instruction itself
5 sections, as written by the author/setup-zoom-mcp
> If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Plan a Zoom MCP workflow and decide when to use MCP alone versus a hybrid REST API + MCP architecture.
Usage
/setup-zoom-mcp $ARGUMENTS
Workflow
- Determine whether the goal is deterministic automation, AI tool orchestration, or a hybrid.
- If MCP is appropriate, identify the likely Zoom MCP surface and transport assumptions.
- If MCP alone is not enough, define the REST API responsibilities separately.
- Call out auth, scope, and client capability constraints.
- End with a minimal proof-of-concept sequence.
Output
- Recommended MCP strategy
- Connector expectations
- Hybrid boundaries if REST is also required
- Risks and setup notes
- Relevant skill links
Related Skills
- design-mcp-workflow
- choose-zoom-approach
Other skills for the same job
different authors, same section of the catalogue
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off. This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation. Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility
How to use it
Take anthropics/setup-zoom-mcp from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.