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com.schedulala/schedulala

Registre officiel Marketing et ventes

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

Code source Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http schedulala 'https://schedulala.com/api/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "schedulala": {
            "type": "http",
            "url": "https://schedulala.com/api/mcp"
        }
    }
}
NPM package @schedulala/mcp-server
Claude Code 
claude mcp add schedulala -e 'SCHEDULALA_API_KEY=<your schedulala_api_key>' -- npx -y @schedulala/mcp-server@0.10.1
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "schedulala": {
            "command": "npx",
            "args": [
                "-y",
                "@schedulala/mcp-server@0.10.1"
            ],
            "env": {
                "SCHEDULALA_API_KEY": "<your schedulala_api_key>"
            }
        }
    }
}

Variables d'environnement

  • SCHEDULALA_API_KEY obligatoire secret Schedulala API key (sk_live_ or sk_test_), minted at https://schedulala.com/dashboard?view=developer

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Schedulala
  2. Quick start
  3. The hosted connector (claude.ai / Claude Desktop / ChatGPT)
  4. Install the skill locally (optional)
  5. What's in this repo
  6. Links
  7. License

Schedulala

Your agent posts. Replies. Measures. Listens.

12 Platforms. Any Agent. One Prompt.

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

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-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

License

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

Questions fréquentes

Qu'est-ce que com.schedulala/schedulala ?

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

Comment installer com.schedulala/schedulala ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http schedulala 'https://schedulala.com/api/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour com.schedulala/schedulala ?

Oui. Il attend SCHEDULALA_API_KEY, à renseigner dans sa configuration.

com.schedulala/schedulala est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient com.schedulala/schedulala ?

Il est publié par schedulala. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.