
Schedulala
com.schedulalaPublished by schedulala.comOfficial publisherv0.10.1Updated Nov 2, 2026
Schedule and publish social posts to 12 platforms with first comments, analytics, and listening.
Overview
Lets an AI assistant schedule, publish and analyze social media posts across 12 platforms, with first comments, comment triage and keyword listening.
- What you can do
- Schedule and publish posts to 12 platforms, including X, Instagram, TikTok, LinkedIn, YouTube, Facebook, Threads, Bluesky, Pinterest, Mastodon, Telegram and Google Business Profile
- Add first comments on 8 platforms through a single API field
- Validate drafts against each platform's character limits and media rules before publishing
- Read analytics and best-time data for published posts
- Triage comments and run keyword listening from the same conversation
- Preview posts, upload media and view calendar or inbox widgets in the hosted connector
- When to use it
- Useful when an assistant should run social media end to end from one chat: drafting, validating, scheduling and publishing across many platforms, then checking performance and responding to comments. Also suited to agents that need per-platform posting rules handled for them.
- Requirements
- Either the remote endpoint with OAuth sign-in (no key handling) or the local npm package @schedulala/mcp-server over stdio, which needs Node.js and the SCHEDULALA_API_KEY environment variable. A Schedulala account and API key are required; free keys cover 2 connected accounts and 4 posts, and sk_test_ keys simulate without publishing. The hosted connector requires a paid Claude plan.
Installation
In SourceWeft
- Open Schedulala in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.schedulala%2Fschedulala/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"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.
Source: README.md at commit 9f7c3f0
Tools
0Version history
1- v0.10.1LatestSep 16, 2026
Score
85% of the applicable checks met
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