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Vanszs

tiktok-viral-factory

by Vanszs
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

What is this?

A fully autonomous AI workforce that runs 7 specialized agents working together to:

  1. Research trending TikTok Shop products in Beauty & Personal Care

  2. Plan viral content strategies based on TikTok algorithm signals

  3. Write hook-optimized scripts with karaoke-style word timestamps

  4. Generate product hero shots using Kling AI (cinematic, not AI slop)

  5. Compose full videos with ElevenLabs voiceover, stock footage, text overlays, SFX

  6. Optimize SEO (hashtags, captions, posting time)

  7. Publish to TikTok via Content Posting API

You provide the API keys. It does everything else.

Input:  TikTok Shop product URL
Output: Ready-to-post 15-60s TikTok video + optimized caption + hashtags
NOTE

This isnot a "type your prompt, get a video" wrapper. This is a multi-agent system with real market research, content strategy, deduplication, cost tracking, and TikTok compliance built in.

Related MCP server: Scavio

Why this exists

Problem

Solution

Creating TikTok content manually = 2-4 hours/video

100 videos/month, fully automated

AI-generated videos get flagged as "AI slop" and throttled

Mixed pipeline: stock footage + AI hero shots + text overlays = human-feeling

Most AI video tools produce generic, soulless content

7 specialized agents — each one does ONE thing well

TikTok Shop Affiliate is lucrative but hard to scale

Beauty & Personal Care niche = #1 GMV category, 15-25% commission

GPU requirements block most developers

Cloud APIs (Kling, ElevenLabs) — runs on any laptop

Architecture

                        YOU (CLI)
                            │
                ┌───────────▼───────────┐
                │   SUPERVISOR          │
                │   (Marketing Director)│
                │   Routes + monitors   │
                └───────────┬───────────┘
                            │
         ┌──────────────────┼──────────────────┐
         │                  │                  │
         ▼                  ▼                  ▼
    RESEARCH          STRATEGY           ANALYTICS
    Market Intel      Content Plan       Performance
         │                  │
         │           ┌──────┴──────┐
         │           ▼             ▼
         │      SCRIPT         SEO AGENT
         │      WRITER         (Hashtags,
         │                     Captions)
         │           │
         └───────────▼
                PRODUCER
             (Video Engine)
             Kling AI + Stock +
             ElevenLabs + FFmpeg
                   │
                   ▼
               PUBLISHER
            (Upload to TikTok)

    ┌────────────────────────────────┐
    │        MCP BRIDGE              │
    │   Client ↔ Server              │
    │   Connect external tools       │
    │   Expose agents as MCP tools   │
    └────────────────────────────────┘

7 Agents

Agent

Role

Tools

Supervisor

Marketing Director — routes tasks, monitors quality

LLM + Router

Research

Trending products, competitor analysis, market intel

LLM + TikTok Research

Strategy

Content calendar, hook library, posting schedule

LLM + Trend DB

Script Writer

15-60s scripts with word timestamps, hook optimization

LLM

SEO

Hashtags, captions, posting time, TikTok algorithm signals

LLM

Producer

Video generation — Kling AI + stock footage + ElevenLabs TTS + FFmpeg

Kling, Pixabay, Pexels, ElevenLabs, FFmpeg

Publisher

Upload to TikTok, or export package for manual upload

TikTok API

Analytics

Track views, engagement, revenue, optimize strategy

LLM + Analytics DB

Video Pipeline (Mixed Approach)

The key insight: pure AI-generated videos get throttled by TikTok. Our mixed approach feels human:

Stock Footage (60%)          AI Product Shots (20%)      Overlays (20%)
─────────────────────────    ────────────────────────    ─────────────────────
Pixabay/Pexels               Kling AI 2.5 Turbo Pro      FFmpeg
"woman applying cream"       "serum bottle, slow-mo      Text overlays
"close-up skincare routine"   cinematic, 9:16"           Subtitles (karaoke)
"glowing skin result"        $0.07/sec via fal.ai       SFX (whoosh, ding)

Video Output Example

[0-3s]   HOOK:   Stock footage + bold text overlay + whoosh SFX
[3-8s]   PROBLEM: Stock footage + voiceover "Punya masalah kulit kusam?"
[8-18s]  PRODUCT: Kling AI hero shot + ingredient callouts + voiceover
[18-25s] PROOF:   Stock "glowing skin" + voiceover "Coba ini..."
[25-30s] CTA:    Text overlay "Link di bio!" + product image + sparkle SFX

Tech Stack

Layer

Technology

Why

Framework

LangGraph

Supervisor pattern, native streaming, persistence

LLM

OpenAI-compatible API

Works with any provider (OpenAI, Groq, Together, local)

AI Video

Kling 2.5 Turbo Pro (fal.ai)

Best e-commerce product shots, $0.07/sec

Stock Footage

Pixabay + Pexels

FREE, HD, 100+ req/min

Voice

ElevenLabs eleven_multilingual_v2

Natural voice, Indonesian support, word timestamps

Video Engine

FFmpeg + moviepy

Text overlays, composition, SFX, subtitles

Image Tools

rembg

Background removal for product photos

Protocol

MCP (Model Context Protocol)

Connect to any MCP server, expose agents as tools

Config

Pydantic Settings

Type-safe, .env driven

Cost Breakdown (100 videos/month)

Service

Cost

Notes

Kling AI

~$35/mo

5 sec product shots × 100 videos

ElevenLabs

~$10/mo

30s voiceover × 100 videos

LLM API

~$5/mo

OpenAI-compatible, varies by provider

Stock Footage

FREE

Pixabay + Pexels

Total

~$50/month

Quick Start

Prerequisites

  • Python 3.11+

  • FFmpeg installed (apt install ffmpeg / brew install ffmpeg)

  • API keys: OpenAI-compatible LLM, fal.ai (Kling), ElevenLabs, Pixabay, Pexels

1. Clone & Install

git clone https://github.com/vanszs/tiktok-viral-factory.git
cd tiktok-viral-factory
pip install -r requirements.txt

2. Configure

cp .env.example .env
# Edit .env with your API keys

3. Run

# Generate a single video from a TikTok Shop product
python -m workflows.faceless --product-url "https://shop.tiktok.com/..."

# Batch generate from product list
python -m workflows.batch --input products.json --count 10

# Clip pipeline (transform existing content)
python -m workflows.clipping --source video.mp4

# Start MCP server (expose agents as tools)
python -m mcp_bridge.server

# Connect to external MCP tools
python -m mcp_bridge.client --config mcp_servers.json

4. Output

output/
├── video_20240115_143022.mp4     # Final video (1080x1920, 9:16)
├── video_20240115_143022.srt     # Subtitle file
├── metadata.json                  # Product data, SEO, timestamps
└── thumbnail.jpg                  # Auto-generated thumbnail

Project Structure

tiktok-viral-factory/
├── agents/              # 7 LangGraph agent nodes
├── config/
│   ├── prompts/         # System prompts for each agent
│   └── settings.py      # Pydantic settings (60+ config fields)
├── mcp_bridge/
│   ├── client.py        # Connect to external MCP servers
│   └── server.py        # Expose agents as MCP tools
├── models/
│   └── schemas.py       # 22 Pydantic models (state, products, videos)
├── tools/               # Image search, Kling, TTS, FFmpeg, SEO
├── utils/
│   └── llm.py           # OpenAI-compatible LLM factory
├── workflows/           # 3 pipelines: faceless, clipping, batch
├── fonts/               # Custom .ttf for text overlays
├── sfx/                 # Sound effects (whoosh, ding, sparkle)
├── output/              # Generated videos + metadata
├── plan.md              # Full 1200-line implementation plan
└── .env.example         # All config fields documented

Key Features

  • Anti-AI-Slop: Mixed pipeline (stock + AI hero shots + overlays) avoids TikTok's AI content throttling

  • Content Deduplication: Hash-based tracking prevents generating duplicate content across runs

  • Cost Tracking: Real-time budget monitoring per video and monthly cap ($50 default)

  • Kling AI Fallback: If AI video fails, automatically falls back to static product image with FFmpeg zoom + sparkle

  • Smart Stock Search: Searches vertical first → smart crop → letterbox → pan&scan for any orientation

  • Word-Level Subtitles: ElevenLabs timestamps enable karaoke-style subtitle sync

  • MCP Protocol: Full MCP Bridge — connect to any tool ecosystem, expose your agents to other systems

  • Multi-LLM: Works with OpenAI, Groq, Together AI, Ollama, or any OpenAI-compatible API

Roadmap

  • Architecture & PRD (1200+ lines)

  • Data models (22 Pydantic schemas)

  • Configuration system (60+ typed settings)

  • MCP Bridge (Client + Server)

  • Tools layer (Kling, ElevenLabs, Pixabay, FFmpeg)

  • 7 Agents implementation

  • 3 Video pipelines (faceless, clipping, batch)

  • TikTok Content Posting API integration

  • Analytics dashboard

  • Batch mode (100 videos/month)

  • Multi-niche support (beyond Beauty & Personal Care)

Contributing

PRs welcome! Areas where help is most needed:

  • More niches: Extend beyond Beauty & Personal Care

  • More stock sources: Additional free stock footage APIs

  • Better prompts: Improve agent system prompts with real-world results

  • UI: Simple web dashboard for monitoring

License

MIT — do whatever you want with it. If you make money from it, that's the point.

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