
Schedulala
com.schedulala由 schedulala.com 发布官方发布者v0.10.1更新于 Nov 2, 2026
Schedule and publish social posts to 12 platforms with first comments, analytics, and listening.
概览
让 AI 助手在 12 个平台上排期、发布和分析社交媒体帖子,并支持首条评论、评论处理和关键词监听。
- 可以做什么
- 在 12 个平台(含 X、Instagram、TikTok、LinkedIn、YouTube、Facebook、Threads、Bluesky、Pinterest、Mastodon、Telegram、Google 商家资料)排期并发布帖子
- 通过一个 API 字段在 8 个平台上添加首条评论
- 发布前按各平台的字符限制和媒体规则校验草稿
- 查看已发布帖子的数据分析和最佳发布时间
- 在同一对话中处理评论并进行关键词监听
- 在托管连接器中使用帖子预览、媒体上传、日历和收件箱等交互组件
- 适用场景
- 适合希望在一个对话中端到端运营社交媒体的场景:跨多平台起草、校验、排期和发布,然后查看表现并回复评论。也适合需要由服务器代为处理各平台发布规则的智能体。
- 运行要求
- 可使用远程端点并通过 OAuth 登录(无需处理密钥),或使用本地 npm 包 @schedulala/mcp-server(stdio 传输),后者需要 Node.js 和 SCHEDULALA_API_KEY 环境变量。需要 Schedulala 账号和 API 密钥;免费密钥含 2 个已连接账号和 4 条帖子,sk_test_ 密钥可模拟而不实际发布。托管连接器需要付费 Claude 套餐。
安装
在 SourceWeft 中
- 打开 控制台中的 Schedulala,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.schedulala%2Fschedulala/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"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.
来源:README.md,提交 9f7c3f0
工具
0版本历史
1- v0.10.1最新Sep 16, 2026
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