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Setup Zoom MCP

AnthropicOfficialCreated by ZoomDistributed by Anthropic

  • Skill
  • Workflow
  • Automation and integrations
  • MIT
  • No issues found
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From the author

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.
— the description by Zoom

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The setup-zoom-mcp skill provides a structured approach for planning how to integrate Zoom data into AI workflows using the Model Context Protocol (MCP). It helps users determine the optimal architectural strategy, deciding whether to rely solely on MCP or implement a hybrid approach combining MCP with REST APIs. The skill guides users through defining authentication, scope requirements, and client capabilities to ensure a secure and functional integration.

What it does

  • Evaluates the suitability of MCP for specific Zoom-related AI tasks.
  • Defines boundaries between MCP and REST API responsibilities in hybrid architectures.
  • Identifies necessary authentication and scope requirements for Zoom integrations.
  • Outlines client capability constraints for the proposed setup.
  • Generates a minimal proof-of-concept sequence for implementation.

When to use it

  • When planning AI workflows that require access to Zoom data.
  • When deciding between using MCP versus traditional REST API approaches.
  • When designing a hybrid architecture that leverages both MCP and REST.
  • When you need to define a secure and efficient setup plan for Claude.

Advantages

  • Ensures architectural decisions are based on specific workflow needs.
  • Clarifies the distinction between MCP and REST API usage.
  • Promotes secure integration practices by highlighting auth and scope constraints.
  • Provides a clear path to a proof-of-concept.

Usage examples

“/setup-zoom-mcp I need to pull meeting summaries into Claude automatically.”
The agent provides a strategy for using Zoom MCP to access meeting data, including necessary scopes and a sequence for the proof-of-concept.
“/setup-zoom-mcp Should I use MCP or REST for managing Zoom webinar registrations?”
The agent compares the two approaches, recommending a hybrid model if complex registration management is required alongside simple data retrieval.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/anthropics/setup-zoom-mcp/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip setup-zoom-mcp.zip -d .agents/skills

Documentation by Zoom

/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

  1. Determine whether the goal is deterministic automation, AI tool orchestration, or a hybrid.

  2. If MCP is appropriate, identify the likely Zoom MCP surface and transport assumptions.

  3. If MCP alone is not enough, define the REST API responsibilities separately.

  4. Call out auth, scope, and client capability constraints.

  5. 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

Files

SKILL.md

/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

  1. Determine whether the goal is deterministic automation, AI tool orchestration, or a hybrid.

  2. If MCP is appropriate, identify the likely Zoom MCP surface and transport assumptions.

  3. If MCP alone is not enough, define the REST API responsibilities separately.

  4. Call out auth, scope, and client capability constraints.

  5. 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

Requirements and compatibility

Written for: Claude Code, Claude apps

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Claude Code frontmatter

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Zoom
Publisher
Anthropic (Official)
Distributed by
Anthropic
Source
anthropics/knowledge-work-plugins · partner-built/zoom-plugin/skills/setup-zoom-mcp · commit e050c2e
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from partner-built/zoom-plugin/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Zoom or Anthropic.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download setup-zoom-mcp.zip