Kadenzo MCP
Schedule and analyze posts on Instagram, TikTok, X, LinkedIn and more: media upload, AI captions, recommended posting times, analytics, listening and comments.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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
| Tool | What it does |
|---|---|
list_accounts | List connected accounts (ids + platforms) |
schedule_post | Schedule a post for a future time (+ validate_only, options, thread) |
list_posts | List your posts, newest first (filter by status, paginate) |
get_post | One post: status, per-channel outcome, options/thread |
update_post | Edit a not-yet-published post |
cancel_post | Cancel a scheduled post before it publishes |
upload_media | Upload a local image/video file, get a URL for media_urls |
get_account_analytics | Recent posts + engagement metrics for an account |
get_post_analytics | Per-channel metrics for a post you scheduled |
generate_content | Generate post copy for a platform from a topic ("generate then schedule") |
get_best_times | Personalized best posting times for an account (Professional+) |
list_mentions | Social-listening mentions (who's talking about your keywords) |
post_comment | Post a comment/reply to your post (instagram/facebook/linkedin) |
list_keywords | List the social-listening keywords you track |
add_keyword | Track a new listening keyword (per-plan caps apply) |
update_keyword | Edit a keyword, or pause/resume it with is_active |
delete_keyword | Stop tracking a keyword |
get_listening_analytics | Mention volume, platform split, sentiment over time |
get_share_of_voice | Brand vs competitor Share of Voice report (Enterprise) |
list_dm_automations | DM automation rules + funnel stats + contact usage |
create_dm_automation | Create a DM automation rule (comment→DM, keyword DM, DM links, …) |
update_dm_automation | Edit a rule, or pause/resume it with active |
delete_dm_automation | Delete a DM automation rule |
Setup
- Generate an API key in Kadenzo: Settings → API keys (
studio.kadenzo.app/dashboard/settings?section=api). The API is available on paid plans. - 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" }
}
}
}- 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_BASEoverrides the API base URL (defaulthttps://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
Frequently asked questions
What is Kadenzo MCP?
Schedule and analyze posts on Instagram, TikTok, X, LinkedIn and more: media upload, AI captions, recommended posting times, analytics, listening and comments.
How do I install Kadenzo MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Kadenzo MCP open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Kadenzo MCP?
It is published by Kadenzo. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.