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Zoom Mcp/Meetings

Organization
zoom
zoom-mcp/meetings

Zoom Meetings MCP server guidance for semantic meeting search, meeting assets, cloud recording listings, and recording-resource retrieval. Use for the dedicated Meetings MCP endpoint and its four read-oriented tools rather than meeting CRUD or generic Zoom search.

Overview

Publisherzoom
Repositoryskills
Skill namezoom-mcp/meetings
Stars
78
Forks
16
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by zoom on GitHub. Read the source before you install it.

Installation

Install the Zoom Mcp/Meetings AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zoom/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/zoom-mcp/meetings .claude/skills/zoom-zoom-mcp-meetings
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zoom Mcp/Meetings in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Zoom Mcp/Meetings on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Zoom Mcp/Meetings is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Zoom Meetings MCP

Use the dedicated Meetings MCP server for agent-driven meeting search and asset retrieval. Use ../../rest-api/SKILL.md for deterministic meeting CRUD.

Endpoint

https://mcp.zoom.us/mcp/meeting/streamable

The repo MCP bundle registers this endpoint as zoom-meetings-mcp in ../../../.mcp.json.

Tools and Scopes

ToolScope
search_meetingsmeeting:read:search
get_meeting_assetsmeeting:read:assets
recordings_listcloud_recording:read:list_user_recordings
get_recording_resourcecloud_recording:read:content

See references/tools.md for selection and prerequisites.

Chaining

Official Source

https://developers.zoom.us/docs/mcp/zoom-meetings-mcp-server/

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Zoom Mcp/Meetings AI skill do?

Zoom Meetings MCP server guidance for semantic meeting search, meeting assets, cloud recording listings, and recording-resource retrieval. Use for the dedicated Meetings MCP endpoint and its four read-oriented tools rather than meeting CRUD or generic Zoom search.

Why use Zoom Mcp/Meetings on TypingMind?

Because you install it once and use it with any model. Zoom Mcp/Meetings is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Zoom Mcp/Meetings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zoom/skills/tree/main/skills/zoom-mcp/meetings. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Zoom Mcp/Meetings?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Zoom Mcp/Meetings?

As many as you like. As long as a model supports skills, you can use Zoom Mcp/Meetings with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Zoom Mcp/Meetings AI skill free?

Yes. It is published on GitHub by zoom under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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