agent

作者 taisly已验证

Taisly Agent Kit: MCP server, CLI, SDK, and agent docs for publishing videos to TikTok, Reels, Shorts, X, and Facebook.

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JavaScript
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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/taisly/agent

快速入门

使用 agent 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Taisly Agent Kit: AI agent social media posting for TikTok, Instagram Reels, YouTube Shorts, X, and Facebook

Taisly Agent Kit

Taisly MCP server Taisly MCP score

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 | Agent Kit | API Docs | npm | GitHub | MCP Registry | Glama | Guide

Languages

Read this guide in: English, Español, Deutsch, Français, Português, ไทย, 中文, Bahasa Indonesia, Русский, Nederlands, 한국어, 日本語, العربية, Türkçe, Polski.

Why developers use it

  • Build AI agent social media posting into Codex, Claude Code, Cursor, OpenClaw, and custom automation tools.
  • Automate video publishing from one local file to multiple connected social accounts.
  • Give agents a safe JSON workflow: discover accounts, validate payloads, create posts, and check status.
  • Add TikTok API posting automation, Instagram Reels automation, YouTube Shorts publishing, and cross-platform social media automation without building every platform integration yourself.
  • Start free, then upgrade only when the publishing workflow grows.

Taisly handles the connected accounts and posting execution. Your agent handles planning, caption writing, campaign logic, or workflow orchestration.

Free AI-first posting

  • Install the package for free.
  • Create or connect a Taisly account from your AI agent.
  • Let the agent authenticate, connect social accounts, validate videos, and publish through a JSON-first workflow.
  • Upgrade later when you need higher-volume publishing, larger account sets, or automatic repost workflows.

No credit card is required to get started. Paid plans are for teams and workflows that need more scale.

Agent Skill

This package includes the Taisly Social Media Posting Skill in SKILL.md. Use it with Claude Code, Codex, Cursor, OpenClaw, and other agents when you want the agent to understand the safe posting workflow before it touches live social accounts.

Recommended skill workflow:

auth -> platforms -> validate -> confirm -> create -> status

The skill tells agents to discover connected accounts, validate the post, ask for explicit user confirmation, create the post, and save the returned historyId for status checks.

Codex plugin

This package includes a Codex plugin manifest in .codex-plugin/plugin.json. The plugin points Codex to the canonical SKILL.md file and the official remote MCP server:

https://app.taisly.com/mcp

Use the plugin when you want Codex to discover both the posting workflow instructions and the Taisly MCP tools from one package. The root SKILL.md is the single source of truth for the agent workflow.

Install

npm install -g @taisly/agent

Or run it without a global install:

npx @taisly/agent help

Start the stdio MCP server:

npx @taisly/agent mcp

For local development inside this repository:

node packages/agent/src/cli.js help

Authentication

The easiest flow is to let your AI agent open the browser login for you. Use any short agent slug, for example claude-code, codex, cursor, windsurf, openclaw, hermes-agent, cline, or aider.

Help me set up Taisly Agent Kit.

1. Install the CLI: npm i -g @taisly/agent
2. Run taisly setup --agent <agent-slug> and send me the login URL so I can finish authentication.
3. Wait for me to finish login in the browser.
4. Run taisly checkin --agent <agent-slug>.
5. Tell me if Taisly is connected and ready. If not, tell me what failed.

If you cannot install or run the Taisly CLI in this environment, stop and tell me to open Taisly Settings instead.

The setup command stores a local Taisly agent credential, so later CLI and MCP commands can run without manually copying an API key.

Manual fallback: create an API key in Taisly Settings, then set:

export TAISLY_API_KEY="taisly_..."

Advanced: by default, the browser setup stores the local credential in ~/.taisly/config.json. Most users should not change this. Set TAISLY_CONFIG_HOME=/path/to/dir only for CI, tests, or isolated agent profiles that need a separate credential store.

Quick start

List the connected social accounts available to the API key:

taisly auth:status
taisly platforms:list

Connect a social account from an AI-agent flow:

taisly platforms:connect:start --platform instagram
# Open the returned connectUrl and finish authorization in the browser.
taisly platforms:connect:check --platform instagram
taisly platforms:list

Supported connect slugs: instagram, tiktok, youtube, x, facebook.

Validate a local video before publishing:

taisly posts:validate \
  --video ./launch.mp4 \
  --platforms platform_id_1,platform_id_2 \
  --description "Launch day"

Publish now:

taisly posts:create \
  --video ./launch.mp4 \
  --platforms platform_id_1,platform_id_2 \
  --description "Launch day"

Schedule for later:

taisly posts:create \
  --video ./launch.mp4 \
  --platforms platform_id_1,platform_id_2 \
  --description "Launch day" \
  --scheduled "2026-06-14T09:00:00+07:00"

Check the returned post:

taisly posts:status --id <historyId>

Every command prints JSON so agents can parse results without scraping terminal text.

MCP server

Taisly is published in the official MCP Registry as:

io.github.taisly/agent

Display name: Taisly Social Media Posting

Remote MCP endpoint:

https://app.taisly.com/mcp

The remote MCP server uses streamable HTTP and OAuth. Remote MCP tools can publish only from public videoUrl values because they cannot read local files from your machine.

Codex remote MCP setup:

codex mcp add taisly --url https://app.taisly.com/mcp
codex mcp login taisly

Claude Code remote MCP setup:

claude mcp add --transport http taisly https://app.taisly.com/mcp

Then ask Claude Code to verify the connection. If OAuth is needed, Claude Code can guide the browser login from the session. You can also authenticate explicitly with claude mcp login taisly if you want to complete the OAuth flow from the shell before using tools.

Taisly Agent Kit also includes a local stdio MCP server in the same package. Use local MCP when your agent needs to read local video files:

{
  "mcpServers": {
    "taisly": {
      "command": "npx",
      "args": ["@taisly/agent", "mcp"]
    }
  }
}

If you already use a manual API key, you can still pass TAISLY_API_KEY in the MCP server env block.

Codex local MCP setup:

codex mcp add taisly -- npx @taisly/agent mcp

Claude Code local MCP setup:

claude mcp add taisly -- npx @taisly/agent mcp

Then ask the agent:

Use the local Taisly MCP server you just added and run the Taisly agent setup start tool with agentId: "<agent-slug>".

Send me the login URL and wait for me to finish in the browser.
Then run the Taisly agent checkin tool with agentId: "<agent-slug>".
After checkin, run the Taisly auth status tool.
Tell me if Taisly is connected and ready. If not, tell me what failed.

Available MCP tools:

  • taisly_agent_setup_start
  • taisly_agent_checkin
  • taisly_auth_status
  • taisly_platforms_list
  • taisly_platform_schema
  • taisly_platform_connect_start
  • taisly_platform_connect_check
  • taisly_posts_validate
  • taisly_posts_create
  • taisly_posts_status
  • taisly_posts_list
  • taisly_reposts_list
  • taisly_reposts_create

taisly_posts_create requires confirmed: true. Set it only after the user explicitly approves the video, destination accounts, caption, and schedule.

JSON workflow for agents

Agents can write a payload file and pass it to the CLI:

{
  "video": "./launch.mp4",
  "platforms": ["platform_id_1", "platform_id_2"],
  "description": "Launch day. Short demo, big update.",
  "scheduled": "2026-06-14T09:00:00+07:00"
}

Then run:

taisly posts:validate --json ./campaign.json
taisly posts:create --json ./campaign.json

The video path must point to a real local file available to the agent. Supported local preflight extensions are .mp4, .mov, .avi, .mkv, .webm, .flv, .mpeg, and .mpg.

Commands

taisly auth:status
taisly setup --agent <agent-slug>
taisly checkin --agent <agent-slug>
taisly platforms:list
taisly integrations:list
taisly platforms:schema --platform TikTok
taisly posts:validate --video ./launch.mp4 --platforms platform_id_1 --description "Launch day"
taisly posts:create --video ./launch.mp4 --platforms platform_id_1 --description "Launch day"
taisly posts:create --json ./campaign.json
taisly posts:list --page 1
taisly posts:status --id <historyId>
taisly reposts:list
taisly reposts:create --from <platform_id> --to <platform_id_1,platform_id_2>
taisly mcp

integrations:* commands are aliases for platforms:* commands. Taisly calls connected social accounts platforms in the app, while many public APIs call them integrations.

SDK

import { Taisly } from "@taisly/agent";

const taisly = new Taisly({
  apiKey: process.env.TAISLY_API_KEY,
});

const platforms = await taisly.platforms.list();

const validation = await taisly.posts.validate({
  video: "./launch.mp4",
  platforms: [platforms.data[0].id],
  description: "Launch day",
});

const post = await taisly.posts.create({
  video: "./launch.mp4",
  platforms: [platforms.data[0].id],
  description: "Launch day",
  scheduled: "2026-06-14T09:00:00+07:00",
});

console.log(validation.success);
console.log(post.historyId);

Use with AI agents

Taisly Agent Kit is designed for agentic workflows where the user gives a high-level instruction and the agent executes a safe posting path.

  • Codex: let a coding agent publish demo videos, launch clips, or build updates after user confirmation.
  • Claude Code: add social posting to local content workflows and campaign scripts.
  • Cursor: ship video publishing from developer tools, content apps, and internal automation.
  • OpenClaw and other agents: connect planning, caption writing, and posting execution through a single CLI.

Recommended agent path:

auth:status -> platforms:list -> platforms:schema -> posts:validate -> user confirmation -> posts:create -> posts:status

Agent recipes

The examples/ folder includes copy-paste workflows for common coding agents:

  • examples/codex/post-video.md
  • examples/claude-code/schedule-video.md
  • examples/cursor/post-build-demo-video.md
  • examples/post-video.sh
  • examples/schedule-video.sh

What this package is not

  • It is not a social media dashboard.
  • It is not a video editor.
  • It does not replace a Taisly account.
  • It requires connected social accounts and a Taisly agent credential or API key.
  • It does not bypass platform rules, account permissions, or media validation.

Current limits

  • posts:create uses the existing multipart /post API.
  • posts:status reads recent history because a single-post status endpoint is not available yet.
  • posts:validate is local preflight; final validation still happens in Taisly.
  • Local MCP uses stdio transport. Remote MCP uses streamable HTTP at https://app.taisly.com/mcp.
  • Remote MCP requires public video URLs; use local MCP or the CLI for local video files.
  • Media upload reuse is planned later.

Links

常见问题

What is agent?

agent is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by taisly. Taisly Agent Kit: MCP server, CLI, SDK, and agent docs for publishing videos to TikTok, Reels, Shorts, X, and Facebook. It has 238 GitHub stars.

Is agent safe to use?

Yes. agent passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install agent?

Clone the repository with "git clone https://github.com/taisly/agent" and add it to your Claude Code skills directory (see the Installation section above). agent ships a SKILL.md manifest, so compatible agents can discover and load it automatically.

What programming language is agent written in?

agent is primarily written in JavaScript. It is open-source under taisly on GitHub, so you can review or fork the full source.

Are there alternatives to agent?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agent against similar tools.

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