davidmosiah/tiktok-agent-publisher

Overview

This tool provides a command-line interface and MCP server for automating TikTok content uploads. It uses an agent-first design to manage posting workflows and includes a dry-run mode for testing without actual publication. The JavaScript implementation is minimal and early-stage.

Best for

Best for
Developers prototyping autonomous content pipelines who need safe, exploratory TikTok posting

Use cases

• Automate TikTok video uploads from a CI/CD pipeline
• Test scheduling logic in a dry-run environment
• Integrate TikTok posting into AI agent workflows via MCP

Notes

This tool provides a command-line interface and MCP server for automating TikTok content uploads. It uses an agent-first design to manage posting workflows and includes a dry-run mode for testing without actual publication. The JavaScript implementation is minimal and early-stage.

1 stars on GitHub. Last updated 2026-07-03. Licensed MIT.

Use cases

• Automate TikTok video uploads from a CI/CD pipeline
• Test scheduling logic in a dry-run environment
• Integrate TikTok posting into AI agent workflows via MCP

Pros

• Dry-run mode enables risk-free testing before real posts
• Agent-first architecture fits autonomous or LLM-driven workflows
• Lightweight JavaScript project is straightforward to inspect and modify

Cons

• Very early stage with only 1 GitHub star and limited community feedback
• No documentation on handling TikTok API rate limits, auth tokens, or error recovery
• MCP server capabilities and stability are unverified at scale

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.