Zoom Mcp/Team Chat

Organization

zoom

zoom-mcp/team-chat

Zoom Team Chat MCP server guidance for channel, message, contact, session, and file search/read workflows plus write-capable message and channel operations. Use for Team Chat MCP endpoints, OAuth scopes, tools/list, and agent-driven Chat actions rather than default Zoom MCP search or deterministic Team Chat REST API implementation.

Overview

Publisher	zoom
Repository	`skills`
Skill name	`zoom-mcp/team-chat`
Stars	78
Forks	16
Bundled files	1
License	MIT
Links	Skill source Repository

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/Team Chat AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/team-chat .claude/skills/zoom-zoom-mcp-team-chat

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zoom Mcp/Team Chat 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/Team Chat 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/Team Chat 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 MCP Team Chat

Dedicated guidance for Zoom's Team Chat MCP server.

Use this MCP surface for agent-driven Team Chat actions. Use ../../team-chat/SKILL.md when the user needs deterministic REST API implementation, custom backend retries, webhooks, reporting, or a production integration that should not depend on agent tool invocation.

Endpoints

Transport	URL
Streamable HTTP (recommended)	`https://mcp.zoom.us/mcp/chat/streamable`
Legacy alias	`https://mcp.zoom.us/mcp/team_chat/streamable`

The repo MCP bundle registers this as zoom-team-chat-mcp in ../../../.mcp.json.

Authentication

OAuth bearer tokens are passed through the MCP Authorization header.
Start app registration from the Team Chat MCP template.
Protected-resource metadata is available through both mcp_chat and the legacy mcp_team_chat resource name.
The server is scoped to the caller's account and subject to Team Chat policy restrictions.
End-to-end encrypted, archived, retention-restricted, or policy-blocked chats may not be accessible or mutable through this surface.

Required Scopes

Team Chat MCP scopes advertised by protected-resource metadata:

team_chat:write:user_message
team_chat:update:user_message
team_chat:write:contact_information
team_chat:write:user_channel
team_chat:update:user_channel
team_chat:write:members
team_chat:read:channel
team_chat:update:channel_member_role
team_chat:read:list_members
team_chat:read:list_user_channels
team_chat:read:list_contacts
team_chat:read:list_user_files
team_chat:read:list_user_messages
team_chat:read:list_user_sessions
chat_channel:read
chat_channel:write

Safety Rules

This server contains write-capable tools. Before invoking a write tool:

Confirm the user explicitly asked to send, edit, create, update, invite, or add members.
Resolve IDs carefully. chat_session_id may be a user/member ID, user email for 1:1 messages, or a channel ID.
Preview message/channel changes when the target or wording is ambiguous.
Do not guess channel IDs, message IDs, or invitee emails.
Prefer the REST Team Chat skill for bulk operations, durable retry logic, approval workflows, or audit-heavy production systems.

Available Tools

The current Team Chat MCP tool surface has 20 tools:

zoom_chat_message_send
zoom_chat_message_update
zoom_chat_contact_add
zoom_chat_channel_create
zoom_chat_channel_update
zoom_chat_channel_members_add
zoom_chat_channel_get_by_id
zoom_chat_channel_member_role_update
zoom_chat_channel_members_list
zoom_chat_channels_list
zoom_chat_channels_search
zoom_chat_contacts_get_by_id
zoom_chat_contacts_search
zoom_chat_files_search
zoom_chat_message_get_by_id
zoom_chat_message_replies_list
zoom_chat_messages_fetch
zoom_chat_messages_filter
zoom_chat_messages_search
zoom_chat_sessions_recent_list

Some MCP clients namespace server tools in the UI. Treat the raw tool names above as authoritative after tools/list.

Reference: references/tools.md

Common Workflows

Send a message:

text
zoom_chat_message_send
  chat_session_id: "CHANNEL_ID_OR_USER_ID_OR_EMAIL"
  message_content: "Deployment starts at 17:00 UTC."
  message_format: "text"

Send a threaded reply:

text
zoom_chat_message_send
  chat_session_id: "CHANNEL_ID"
  parent_message_id: "PARENT_MESSAGE_ID"
  message_content: "Confirmed. I will post the follow-up here."
  message_format: "text"

Edit a message sent by the caller:

text
zoom_chat_message_update
  chat_session_id: "CHANNEL_ID_OR_USER_ID"
  messageId: "MESSAGE_ID"
  message_content: "Updated status: deployment completed."
  message_format: "text"

Create a channel:

text
zoom_chat_channel_create
  channel_name: "incident-response"
  channel_type: "private_channel"
  post_message_permission: "everyone"
  mention_all_permission: "channel_owner_and_admin"
  new_members_can_see_previous_messages_and_files: true

Add members to a channel:

text
zoom_chat_channel_members_add
  channelId: "CHANNEL_ID"
  user_email_list:
    - "person@example.com"

Chaining

Marketplace app creation: Team Chat MCP template via Marketplace app management
Token acquisition: create the app first, then use OAuth guidance to authorize the user and mint the bearer token supplied to this MCP endpoint
Parent MCP skill: ../SKILL.md
Deterministic Team Chat API skill: ../../team-chat/SKILL.md
General routing: ../../general/SKILL.md

References

references/tools.md - Team Chat MCP tool catalog, parameters, scopes, and constraints.
Zoom docs: https://developers.zoom.us/docs/mcp/zoom-chat-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.

references/tools.md8 KB

Frequently asked questions

What does the Zoom Mcp/Team Chat AI skill do?

Why use Zoom Mcp/Team Chat on TypingMind?

Because you install it once and use it with any model. Zoom Mcp/Team Chat 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/Team Chat in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zoom/skills/tree/main/skills/zoom-mcp/team-chat. 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/Team Chat?

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/Team Chat?

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

Is the Zoom Mcp/Team Chat 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.

View all

Code Review And Quality

addyosmani

CommunityPopular

Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple…

Security And Hardening

addyosmani

CommunityPopular

Hardens code against vulnerabilities. Use when auditing an input handler for vulnerabilities, when handling user input, authentication, data storage, or external integrations, or when checking a login…

Shipping And Launch

Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up…

Source Driven Development

addyosmani

CommunityPopular

Grounds every implementation decision in official documentation. Use when you want to verify an approach against the official docs before implementing it, or when you want authoritative, source-cited…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Zoom MCP Team Chat

Endpoints

Authentication

Required Scopes

Safety Rules

Available Tools

Common Workflows

Chaining

References

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now