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Meeting SDK Linux

AnthropicOfficialCreated by ZoomDistributed by Anthropic

  • Skill
  • Tool integration
  • Software development
  • MIT
  • Low risk

From the author

Zoom Meeting SDK for Linux - C++ headless meeting bots with raw audio/video access, transcription, recording, and AI integration for server-side automation
— the description by Zoom

AutoGineer summary

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

The Zoom Meeting SDK for Linux provides a C++ library designed for headless server environments, enabling developers to create bots that join meetings, capture raw audio and video, and perform automated tasks. It supports asynchronous event handling via GLib and is optimized for deployment in environments like Ubuntu or CentOS, providing direct access to PCM audio and YUV420 video streams.

What it does

  • Enables headless participation in Zoom meetings without a GUI
  • Provides raw access to audio and video streams for AI processing
  • Supports programmatic control over meeting recording and participant management
  • Integrates with PulseAudio for virtual audio device handling in server environments
  • Facilitates asynchronous event management using GLib main loops

When to use it

  • When building automated meeting transcription or AI-powered assistants
  • When creating bots that require raw media data for custom analysis
  • When implementing server-side meeting recording and monitoring solutions
  • When deploying meeting bots in Linux-based cloud or containerized environments

Advantages

  • Optimized for headless operation in server-side environments
  • Direct access to raw media formats for flexible integration with AI pipelines
  • Comprehensive support for meeting lifecycle management and recording controls
  • Well-documented integration paths for common Linux distributions

Usage examples

“How do I start raw recording in my C++ meeting bot?”
The bot must first join the meeting, then use the meeting recording controller to verify permissions via CanStartRawRecording and initiate the stream with StartRawRecording.
“What is required to handle audio in a headless Linux environment?”
You must install PulseAudio, configure a virtual audio device, and ensure the environment is set up with the appropriate configuration file to allow the SDK to capture audio.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/anthropics/meeting-sdk-linux/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip meeting-sdk-linux.zip -d .agents/skills

Documentation by Zoom

Zoom Meeting SDK - Linux Development

Expert guidance for building headless meeting bots with the Zoom Meeting SDK on Linux. This SDK enables server-side meeting participation, raw media capture, transcription, and AI-powered meeting automation.

How to Build a Meeting Bot That Automatically Joins and Records

Use this skill when the requirement is:

  • visible bot joins a real Zoom meeting

  • the bot records raw media itself

  • or the bot triggers a Zoom-managed cloud-recording workflow after join

Skill chain:

  • primary: meeting-sdk/linux

  • add zoom-rest-api for OBF/ZAK lookup, scheduling, or cloud-recording settings

  • add zoom-webhooks when post-meeting cloud recording retrieval is required

Minimal raw-recording flow:

JoinParam join_param;
join_param.userType = SDK_UT_WITHOUT_LOGIN;
auto& params = join_param.param.withoutloginuserJoin;
params.meetingNumber = meeting_number;
params.userName = "Recording Bot";
params.psw = meeting_password.c_str();
params.app_privilege_token = obf_token.c_str();

SDKError join_err = meeting_service->Join(join_param);
if (join_err != SDKERR_SUCCESS) {
    throw std::runtime_error("join_failed");
}

// In MEETING_STATUS_INMEETING callback:
auto* record_ctrl = meeting_service->GetMeetingRecordingController();
if (!record_ctrl) {
    throw std::runtime_error("recording_controller_unavailable");
}

if (record_ctrl->CanStartRawRecording() != SDKERR_SUCCESS) {
    throw std::runtime_error("raw_recording_not_permitted");
}

SDKError record_err = record_ctrl->StartRawRecording();
if (record_err != SDKERR_SUCCESS) {
    throw std::runtime_error("start_raw_recording_failed");
}

GetAudioRawdataHelper()->subscribe(new MyAudioDelegate());

Use raw recording when the bot must own PCM/YUV media or feed an AI pipeline directly.
Use cloud recording + webhooks when the requirement is Zoom-managed MP4/M4A/transcript assets after the meeting.

Official Documentation: https://developers.zoom.us/docs/meeting-sdk/linux/
API Reference: https://marketplacefront.zoom.us/sdk/meeting/linux/
Sample Repository (Raw Recording): https://github.com/zoom/meetingsdk-linux-raw-recording-sample
Sample Repository (Headless): https://github.com/zoom/meetingsdk-headless-linux-sample

New to Meeting SDK Linux? Follow this path:

  1. linux.md - Quick start guide with complete workflow

  2. concepts/high-level-scenarios.md - Production bot architectures

  3. meeting-sdk-bot.md - Resilient bot with retry logic

  4. references/linux-reference.md - Dependencies, Docker, CMake

Common Use Cases:

Having issues?

Routing Rule for Bots

If the user asks to build a bot that automatically joins a Zoom meeting and records it, start with meeting-sdk-bot.md.

  • Use Meeting SDK Linux for the visible participant, join flow, and raw recording control.

  • Chain zoom-rest-api when the bot must fetch OBF/ZAK tokens, schedule meetings, or enable account-side recording settings.

  • Chain zoom-webhooks when the requirement is Zoom cloud recording retrieval after meeting end.

SDK Overview

The Zoom Meeting SDK for Linux is a C++ library optimized for headless server environments:

  • Headless Operation: No GUI required, perfect for Docker/cloud

  • Raw Data Access: YUV420 video, PCM audio at 32kHz

  • GLib Event Loop: Async event handling for callbacks

  • Docker-Ready: Pre-configured Dockerfiles for CentOS/Ubuntu

  • PulseAudio Integration: Virtual audio devices for headless environments

Key Differences from Video SDK
FeatureMeeting SDK (Linux)Video SDK
Primary UseJoin existing meetings as botHost custom video sessions
VisibilityVisible participantSession participant
UIHeadless (no UI)Optional custom UI
AuthenticationJWT + OBF/ZAK for external meetingsJWT only
Recording ControlStartRawRecording() requiredDirect raw data access
PlatformLinux onlyWindows, macOS, iOS, Android

Prerequisites

System Requirements
  • OS: Ubuntu 22+, CentOS 8/9, Oracle Linux 8

  • Architecture: x86_64

  • Compiler: gcc/g++ with C++11 support

  • Build Tools: cmake 3.16+

Development Dependencies
# Ubuntu
apt-get install -y build-essential cmake \
    libx11-xcb1 libxcb-xfixes0 libxcb-shape0 libxcb-shm0 \
    libxcb-randr0 libxcb-image0 libxcb-keysyms1 libxcb-xtest0 \
    libglib2.0-dev libcurl4-openssl-dev pulseaudio

# CentOS
yum install -y cmake gcc gcc-c++ \
    libxcb-devel xcb-util-image xcb-util-keysyms \
    glib2-devel libcurl-devel pulseaudio
Required Credentials
  1. Zoom Meeting SDK App (Client ID & Secret) → Create at Marketplace

  2. JWT Token → Generate from Client ID/Secret

  3. For External Meetings: OBF token OR ZAK token → Get via REST API

  4. For Raw Recording: Meeting Recording Token (optional) → Get via API

Quick Start

1. Download & Extract SDK
# Download from https://marketplace.zoom.us/
tar xzf zoom-meeting-sdk-linux_x86_64-{version}.tar

# Organize files
mkdir -p demo/include/h demo/lib/zoom_meeting_sdk
cp -r h/* demo/include/h/
cp lib*.so demo/lib/zoom_meeting_sdk/
cp -r qt_libs demo/lib/zoom_meeting_sdk/
cp translation.json demo/lib/zoom_meeting_sdk/json/

# Create required symlink
cd demo/lib/zoom_meeting_sdk && ln -s libmeetingsdk.so libmeetingsdk.so.1
2. Initialize & Auth
#include "zoom_sdk.h"

USING_ZOOM_SDK_NAMESPACE

// Initialize SDK
InitParam init_params;
init_params.strWebDomain = "https://zoom.us";
init_params.enableLogByDefault = true;
init_params.rawdataOpts.audioRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;
InitSDK(init_params);

// Authenticate with JWT
AuthContext auth_ctx;
auth_ctx.jwt_token = your_jwt_token;
CreateAuthService(&auth_service);
auth_service->SDKAuth(auth_ctx);
3. Join Meeting
// In onAuthenticationReturn callback
void onAuthenticationReturn(AuthResult ret) {
    if (ret == AUTHRET_SUCCESS) {
        JoinParam join_param;
        join_param.userType = SDK_UT_WITHOUT_LOGIN;
        
        auto& params = join_param.param.withoutloginuserJoin;
        params.meetingNumber = 1234567890;
        params.userName = "Bot";
        params.psw = "password";
        params.isVideoOff = true;
        params.isAudioOff = false;
        
        meeting_service->Join(join_param);
    }
}
4. Access Raw Data
// In onMeetingStatusChanged callback
void onMeetingStatusChanged(MeetingStatus status, int iResult) {
    if (status == MEETING_STATUS_INMEETING) {
        auto* record_ctrl = meeting_service->GetMeetingRecordingController();
        
        // Start raw recording (enables raw data access)
        if (record_ctrl->CanStartRawRecording() == SDKERR_SUCCESS) {
            record_ctrl->StartRawRecording();
            
            // Subscribe to audio
            auto* audio_helper = GetAudioRawdataHelper();
            audio_helper->subscribe(new MyAudioDelegate());
            
            // Subscribe to video
            IZoomSDKRenderer* video_renderer;
            createRenderer(&video_renderer, new MyVideoDelegate());
            video_renderer->setRawDataResolution(ZoomSDKResolution_720P);
            video_renderer->subscribe(user_id, RAW_DATA_TYPE_VIDEO);
        }
    }
}

Key Features

FeatureDescription
Headless OperationNo GUI, perfect for Docker/server deployments
Raw Audio (PCM)Capture mixed or per-user audio at 32kHz
Raw Video (YUV420)Capture video frames in contiguous planar format
GLib Event LoopAsync callback handling
Docker SupportPre-built Dockerfiles for CentOS/Ubuntu
PulseAudio Virtual DevicesAudio in headless environments
Breakout RoomsProgrammatic breakout room management
ChatSend/receive in-meeting chat
Recording ControlLocal, cloud, and raw recording

Critical Gotchas & Best Practices

⚠️ CRITICAL: PulseAudio for Docker/Headless

The #1 issue for raw audio in Docker:

Raw audio requires PulseAudio and a config file, even in headless environments.

Solution:

# Install PulseAudio
apt-get install -y pulseaudio pulseaudio-utils

# Create config file
mkdir -p ~/.config
cat > ~/.config/zoomus.conf << EOF
[General]
system.audio.type=default
EOF

# Start PulseAudio with virtual devices
pulseaudio --start --exit-idle-time=-1
pactl load-module module-null-sink sink_name=virtual_speaker
pactl load-module module-null-sink sink_name=virtual_mic

See: references/linux-reference.md#pulseaudio-setup

Raw Recording Permission Required

Unlike Video SDK, Meeting SDK requires explicit permission to access raw data:

// MUST call StartRawRecording() first
auto* record_ctrl = meeting_service->GetMeetingRecordingController();

SDKError can_record = record_ctrl->CanStartRawRecording();
if (can_record == SDKERR_SUCCESS) {
    record_ctrl->StartRawRecording();
    // NOW you can subscribe to audio/video
} else {
    // Need: host/co-host status OR recording token
}

Ways to get permission:

  1. Bot is host/co-host

  2. Host grants recording permission

  3. Use recording_token parameter (get via REST API)

  4. Use app_privilege_token (OBF) when joining

GLib Main Loop Required

SDK callbacks execute via GLib event loop:

#include <glib.h>

// Setup main loop
GMainLoop* loop = g_main_loop_new(NULL, FALSE);

// Add timeout for periodic tasks
g_timeout_add_seconds(10, check_meeting_status, NULL);

// Run loop (blocks until quit)
g_main_loop_run(loop);

Without GLib loop: Callbacks never fire, join hangs indefinitely.

Always use heap mode for raw data to avoid stack overflow with large frames:

init_params.rawdataOpts.videoRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;
init_params.rawdataOpts.shareRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;
init_params.rawdataOpts.audioRawDataMemoryMode = ZoomSDKRawDataMemoryModeHeap;
Thread Safety

SDK callbacks execute on SDK threads:

  • Don't perform heavy operations in callbacks

  • Don't call CleanUPSDK() from within callbacks

  • Use thread-safe queues for data passing

  • Use mutexes for shared state

Production Architectures

Transcription Bot

See: concepts/high-level-scenarios.md#scenario-1

Join Meeting → StartRawRecording → Subscribe Audio → 
Stream to AssemblyAI/Whisper → Generate Real-time Transcript
Recording Bot

See: concepts/high-level-scenarios.md#scenario-2

Join Meeting → StartRawRecording → Subscribe Audio+Video → 
Write YUV+PCM → FFmpeg Merge → Upload to Storage
AI Meeting Assistant

See: concepts/high-level-scenarios.md#scenario-3

Join Meeting → Real-time Transcription → AI Analysis → 
Extract Action Items → Generate Summary

Sample Applications

Official Repositories:

SampleDescriptionLink
Raw Recording SampleTraditional C++ approach with config.txtGitHub
Headless SampleModern TOML-based with CLI, Docker ComposeGitHub

What Each Demonstrates:

  • Raw Recording Sample: Complete raw data workflow, PulseAudio setup, Docker multi-distro support

  • Headless Sample: AssemblyAI integration, Anthropic AI, production-ready config management

Documentation Library

Core Concepts
Platform Reference
Authentication
  • ../references/authorization.md - SDK JWT generation

  • ../references/bot-authentication.md - Bot token types (ZAK, OBF, JWT)

Advanced Features
  • ../references/breakout-rooms.md - Programmatic breakout rooms

  • ../references/ai-companion.md - AI Companion controls

Common Issues

IssueCauseSolution
No audio in DockerMissing PulseAudio configCreate ~/.config/zoomus.conf
Raw recording deniedNo permissionUse host/co-host OR recording token
Callbacks not firingMissing GLib main loopAdd g_main_loop_run()
Build errors (XCB)Missing X11 librariesInstall libxcb packages
Segfault on authOpenSSL version mismatchInstall libssl1.1

Complete troubleshooting: references/linux-reference.md#troubleshooting

Resources


Need help? Start with linux.md for quick start, then explore high-level-scenarios.md for production patterns.

Operations

  • RUNBOOK.md - 5-minute preflight and debugging checklist.

Files

LICENSE

MIT License

Copyright (c) 2025 Zoom Video Communications, Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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

What our scanner noticed· Low risk

  • Instructions that use the network

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/meeting-sdk/linux · 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

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