Taisly
OfficialThe Taisly MCP server enables AI agents to publish and manage short-form video content across social media platforms (TikTok, Instagram Reels, YouTube Shorts, X, and Facebook) through a structured, confirmation-safe workflow.
Check Authentication – Verify your Taisly API key is valid and see how many social accounts are connected.
List Connected Platforms – Retrieve all social accounts available for posting under the current API key.
Get Platform Posting Schema – Fetch platform-specific constraints and requirements (e.g., caption limits, video specs) before creating a post.
Validate a Post – Run preflight validation on a local video file, destination platform IDs, caption, and optional schedule before publishing anything live.
Create/Publish a Post – Publish or schedule a video to one or more platforms; requires explicit user confirmation (
confirmed: true) as a safety gate.Check Post Status – Retrieve the status of a previously created post by its
historyId.List Post History – Browse recent posting history with optional date range filters and pagination, useful for audits.
Manage Repost Automations – List existing automations and create new ones to automatically repost content from a source account to one or more destination accounts.
Enables AI agents to publish videos to Facebook through the Taisly posting API.
Allows AI agents to post videos to Instagram (including Reels) via the Taisly Agent Kit.
Enables AI agents to publish videos to TikTok through automated posting workflows.
Provides the ability for AI agents to publish short-form videos to YouTube Shorts.

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 | 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.
Related MCP server: socialclaw
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 custom 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 -> statusThe 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.
Install
npm install -g @taisly/agentOr run it without a global install:
npx @taisly/agent helpStart the stdio MCP server:
npx @taisly/agent mcpFor local development inside this repository:
node packages/agent/src/cli.js helpAuthentication
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:listConnect 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:listSupported 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/agentDisplay name: Taisly Social Media Posting
Remote MCP endpoint:
https://app.taisly.com/mcpThe 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 taislyClaude Code remote MCP setup:
claude mcp add --transport http taisly https://app.taisly.com/mcpThen 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 mcpClaude Code local MCP setup:
claude mcp add taisly -- npx @taisly/agent mcpThen 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_starttaisly_agent_checkintaisly_auth_statustaisly_platforms_listtaisly_platform_schemataisly_platform_connect_starttaisly_platform_connect_checktaisly_posts_validatetaisly_posts_createtaisly_posts_statustaisly_posts_listtaisly_reposts_listtaisly_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.jsonThe 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 mcpintegrations:* 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 custom 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:statusAgent recipes
The examples/ folder includes copy-paste workflows for common coding agents:
examples/codex/post-video.mdexamples/claude-code/schedule-video.mdexamples/cursor/post-build-demo-video.mdexamples/post-video.shexamples/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:createuses the existing multipart/postAPI.posts:statusreads recent history because a single-post status endpoint is not available yet.posts:validateis 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
Taisly: https://taisly.com/en
Agent Kit page: https://taisly.com/en/ai-agent-kit
API docs: https://docs.taisly.com/en/docs
npm package: https://www.npmjs.com/package/@taisly/agent
GitHub repo: https://github.com/taisly/agent
MCP Registry: https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.taisly%2Fagent
SEO guide: https://taisly.com/en/blog/ai-agent-social-media-posting-api
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