Kadenzo MCP

Communauté Marketing et ventes

Schedule and analyze posts on Instagram, TikTok, X, LinkedIn and more: media upload, AI captions, recommended posting times, analytics, listening and comments.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

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

Sommaire
  1. Kadenzo MCP server
  2. Tools
  3. Setup
  4. Notes

Kadenzo MCP server

Connect any MCP-capable AI agent — Claude Desktop, Cursor, ChatGPT, Codex — to Kadenzo and let it schedule, manage, and analyze social posts across 11 networks (Instagram, TikTok, X, LinkedIn, YouTube, Facebook, Pinterest, Threads, Bluesky, Mastodon, Telegram). It wraps the Kadenzo Studio public API as Model Context Protocol tools, so your agent doesn't just draft content — it can ship it.

Tools

ToolWhat it does
list_accountsList connected accounts (ids + platforms)
schedule_postSchedule a post for a future time (+ validate_only, options, thread)
list_postsList your posts, newest first (filter by status, paginate)
get_postOne post: status, per-channel outcome, options/thread
update_postEdit a not-yet-published post
cancel_postCancel a scheduled post before it publishes
upload_mediaUpload a local image/video file, get a URL for media_urls
get_account_analyticsRecent posts + engagement metrics for an account
get_post_analyticsPer-channel metrics for a post you scheduled
generate_contentGenerate post copy for a platform from a topic ("generate then schedule")
get_best_timesPersonalized best posting times for an account (Professional+)
list_mentionsSocial-listening mentions (who's talking about your keywords)
post_commentPost a comment/reply to your post (instagram/facebook/linkedin)
list_keywordsList the social-listening keywords you track
add_keywordTrack a new listening keyword (per-plan caps apply)
update_keywordEdit a keyword, or pause/resume it with is_active
delete_keywordStop tracking a keyword
get_listening_analyticsMention volume, platform split, sentiment over time
get_share_of_voiceBrand vs competitor Share of Voice report (Enterprise)
list_dm_automationsDM automation rules + funnel stats + contact usage
create_dm_automationCreate a DM automation rule (comment→DM, keyword DM, DM links, …)
update_dm_automationEdit a rule, or pause/resume it with active
delete_dm_automationDelete a DM automation rule

Setup

  1. Generate an API key in Kadenzo: Settings → API keys (studio.kadenzo.app/dashboard/settings?section=api). The API is available on paid plans.
  2. Add the server to your MCP client. Claude Desktop (claude_desktop_config.json) / Cursor (~/.cursor/mcp.json):
{
  "mcpServers": {
    "kadenzo": {
      "command": "npx",
      "args": ["-y", "kadenzo-mcp"],
      "env": { "KADENZO_API_KEY": "kdz_live_xxxxxxxxxxxxxxxxxxxxxxxx" }
    }
  }
}
  1. Restart the client. Ask your agent things like "list my connected accounts," "schedule this to X and Bluesky tomorrow at 9am," or "how did my last Instagram posts perform?"

Notes

  • Posts are schedule-only — provide a future scheduled_for; they publish automatically.
  • KADENZO_API_BASE overrides the API base URL (default https://studio.kadenzo.app/api/v1).
  • Requires Node 18+ (uses the built-in fetch/FormData).
  • Learn more / full API reference: https://studio.kadenzo.app/developers · https://kadenzo.app

Questions fréquentes

Qu'est-ce que Kadenzo MCP ?

Schedule and analyze posts on Instagram, TikTok, X, LinkedIn and more: media upload, AI captions, recommended posting times, analytics, listening and comments.

Comment installer Kadenzo MCP ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Kadenzo MCP est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Kadenzo MCP ?

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

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.