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com.schedulala/schedulala

Schedule and publish social posts to 12 platforms with first comments, analytics, and listening.

Analytics & BIv0.10.1
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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 you@example.com) 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

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-server with SCHEDULALA_API_KEY (Claude Desktop / Claude Code / Cursor config in the package README), or
  • the CLI — npx schedulala init --email you@example.com, then npx 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

License

MIT — see LICENSE. The skill documents the Schedulala service, which is a separate commercial product.

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y @schedulala/mcp-server

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "com-schedulala-schedulala": {
      "command": "npx",
      "args": [
        "-y",
        "@schedulala/mcp-server"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

@schedulala/mcp-servernpm

Compatible MCP Clients

com.schedulala/schedulala works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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