About schedulala
Schedulala is a social media publishing service and agent skill for scheduling and managing posts across 12 platforms. It combines per-platform validation with analytics, comment handling, and keyword listening in one workflow.
Key features
- 01Schedule and publish across 12 platforms
- 02Validate posts against platform rules
- 03Manage first comments
- 04View analytics and triage comments
- 05Listen for keywords
Use cases
- 01Schedule posts across social accounts
- 02Preview and validate posts before publishing
- 03Review comments and post analytics
- 04Monitor keywords across social media
MCP support
Schedulala offers a remote hosted MCP connector and a local MCP server, letting AI agents use typed tools to manage its social publishing service.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://schedulala.com/api/mcpclaude mcp add --transport http com-schedulala-schedulala https://schedulala.com/api/mcp{"mcpServers":{"com-schedulala-schedulala":{"type":"http","url":"https://schedulala.com/api/mcp"}}}Open in Cursor{"servers":{"com-schedulala-schedulala":{"type":"http","url":"https://schedulala.com/api/mcp"}}}Open in VS Code{"mcpServers":{"com-schedulala-schedulala":{"type":"http","url":"https://schedulala.com/api/mcp"}}}{"mcpServers":{"com-schedulala-schedulala":{"serverUrl":"https://schedulala.com/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMESchedulala 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:
https://schedulala.com/api/mcp
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
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:
# skills CLI
npx skills add schedulala/schedulala-agent
# Claude Code plugin marketplace
/plugin marketplace add schedulala/schedulala-agent
# OpenClaw (ClawHub)
openclaw skills install schedulala
# plain git
git clone https://github.com/schedulala/schedulala-agent ~/.claude/skills/schedulala-agent
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
skills/schedulala/SKILL.md the skill: install, workflow, rules, decision trees
skills/schedulala/references/ per-platform schemas, media protocol, CLI, widgets
examples/ ready-to-adapt JSON payloads (tiktok, threads, bulk, …)
.claude-plugin/ Claude Code plugin + marketplace manifest
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.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.