
Schedulala
com.schedulala由 schedulala.com 發布官方發布者v0.10.1更新於 Nov 2, 2026
Schedule and publish social posts to 12 platforms with first comments, analytics, and listening.
概覽
讓 AI 助理在 12 個平台上排程、發佈與分析社群貼文,並支援首則留言、留言處理與關鍵字監聽。
- 可以做什麼
- 在 12 個平台(含 X、Instagram、TikTok、LinkedIn、YouTube、Facebook、Threads、Bluesky、Pinterest、Mastodon、Telegram、Google 商家檔案)排程並發佈貼文
- 透過單一 API 欄位在 8 個平台上加入首則留言
- 發佈前依各平台的字數限制與媒體規則驗證草稿
- 查看已發佈貼文的數據分析與最佳發文時段
- 在同一個對話中處理留言並進行關鍵字監聽
- 在託管連接器中使用貼文預覽、媒體上傳、行事曆與收件匣等互動元件
- 適用情境
- 適合想在同一個對話中端到端經營社群媒體的情況:跨多平台草擬、驗證、排程與發佈,再檢視成效並回覆留言。也適合需要由伺服器代為處理各平台發佈規則的代理程式。
- 執行需求
- 可使用遠端端點並以 OAuth 登入(無需處理金鑰),或使用本機 npm 套件 @schedulala/mcp-server(stdio 傳輸),後者需要 Node.js 與 SCHEDULALA_API_KEY 環境變數。需要 Schedulala 帳號與 API 金鑰;免費金鑰含 2 個已連結帳號與 4 則貼文,sk_test_ 金鑰可模擬而不實際發佈。託管連接器需要付費 Claude 方案。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Schedulala,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.schedulala%2Fschedulala/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"schedulala": {
"type": "http",
"url": "https://schedulala.com/api/mcp"
}
}
}README
Schedulala
Your agent posts. Replies. Measures. Listens.
12 Platforms. Any Agent. One Prompt.
[npm CLI] [npm MCP server] [License MIT] [MCP Registry] [X Follow]
Schedulala teaches any AI agent to run your social media end to end: schedule and publish to 12 platforms — Twitter/X, Instagram, TikTok, LinkedIn, YouTube, Facebook, Threads, Bluesky, Pinterest, Mastodon, Telegram, and Google Business Profile — with first comments on 8 of them through one API field, every post validated against each platform's character limits and media rules before anything publishes, plus analytics, comment triage, and keyword listening from the same conversation. The skill was tested against genuinely cold agents until one installed, connected, and posted with zero human help.
Quick start
Works with OpenClaw, Hermes, Claude Code, Cursor, Codex, claude.ai, ChatGPT, and anything with a shell. Per-runtime guides: schedulala.com/agents.
CLI · MCP (remote or stdio) · sandbox keys that never publish
Get your API key from schedulala.com, then send this message to your agent:
Read https://schedulala.com/SKILL.md and follow it to set up Schedulala. My API key is sk_live_·········
That's the whole install. The hosted skill walks your agent through the CLI
(npm i -g schedulala, zero tool-schema tokens), or MCP if you prefer typed
tools — and teaches the safe workflow: draft → validate/preview → confirm →
publish → verify, plus the per-platform rules that reject posts (TikTok
privacy + postMode, Instagram media, YouTube titles, character limits, …).
No key yet? A free one takes two minutes (npx schedulala init --email [email protected]) and includes 2 connected accounts and 4 posts to try the
loop. sk_test_ keys simulate everything without publishing.
The hosted connector (claude.ai / Claude Desktop / ChatGPT)
No install at all — interactive widgets included (post previews, in-chat media upload, analytics cards, calendar, inbox). In Claude: Settings → Connectors → Add custom connector and paste:
OAuth sign-in, no API key handling. Requires a paid Claude plan for custom connectors; the same URL works in ChatGPT. Setup guide: https://schedulala.com/developers/docs/claude-connector
[Connecting Schedulala to Claude: Settings → Connectors → Add custom connector → paste https://schedulala.com/api/mcp — set up in two minutes] [Posting from one chat: drop food photos into the upload widget, the agent drafts 7 per-platform posts with previews, then schedules them across the week]
Set up in two minutes — then post everywhere from one chat.
Full 45s demo (sound on) ·
Setup ·
Posting ·
Comments ·
Bulk ·
Best times ·
Analytics
Install the skill locally (optional)
The one-liner above needs no install. If your runtime prefers a local skill:
Pair it with either:
- the local MCP server —
npx -y @schedulala/mcp-serverwithSCHEDULALA_API_KEY(Claude Desktop / Claude Code / Cursor config in the package README), or - the CLI —
npx schedulala init --email [email protected], thennpx schedulala post "Hello" --platforms twitter --now. Every command supports--json; exit codes 0–7.
What's in this repo
Links
- Developer docs (REST API, CLI, connector): https://schedulala.com/developers/docs
- Per-agent setup pages: https://schedulala.com/agents
- Connector setup: https://schedulala.com/developers/docs/claude-connector
- Claude integration page: https://schedulala.com/integrations/claude
- CLI on npm:
schedulala· MCP server on npm:@schedulala/mcp-server - Pricing: https://schedulala.com/pricing
License
MIT — see LICENSE. The skill documents the Schedulala service, which is a separate commercial product.
來源:README.md,提交 9f7c3f0
工具
0版本歷史
1- v0.10.1最新Sep 16, 2026
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