by taisly · MCP Server · ★ 264
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Taisly Agent Kit Free AI-first social media posting for short-form video. Taisly Agent Kit is a JSON-first SDK, CLI, Agent Skill, and MCP server that lets AI agents, developer tools, and automation workflows publish videos to TikTok, Instagram Reels, YouTube Shorts, X, Facebook, and other connected social platforms through Taisly. Use it when your agent can create content, write captions, or prepare a campaign, but still needs a reliable video publishing API to put that content online. The package is free to install and designed to get an agent from idea to published video without building every platform integration yourself. Website Guide Langua
| Stars | 264 |
| Forks | 2 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.2343404171942/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-06 |
| Created | 2026-06-11 |
| Platforms | claude-code, cli, codex, mcp, node |
| Est. Tokens | ~13k |
These tools work well together with agent for enhanced workflows:
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agent is Taisly Agent Kit: MCP server, CLI, SDK, and agent docs for publishing videos to TikTok, Reels, Shorts, X, and Facebook.. It is categorized as a MCP Server with 264 GitHub stars.
agent is primarily written in JavaScript. It covers topics such as agent-kit, agentic-workflows, ai-agent-tools.
You can find installation instructions and usage details in the agent GitHub repository at github.com/taisly/agent. The project has 264 stars and 2 forks, indicating an active community.
agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent on Agent Skills Hub include socialclaw, awesome-ai-agent-skills, forgecat-agent-profiles. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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