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Add social video uploads to an n8n agent with one MCP node

Point an n8n MCP Client Tool node at this endpoint and your agent can post video to TikTok, Instagram, Facebook and YouTube without a node for each.

Try for free
Social Media Uploader Pro - Post From Claude, ChatGPT or n8n
Social Media Uploader Pro - Post From Claude, ChatGPT or n8ndami_studio/social-media-uploader-pro
Ok
Kind
Message
Tool count
+2 fields
Text
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Boolean
List
Object

Input

How to use:In n8n, add an MCP Client Tool node to an AI Agent, set the transport to HTTP Streamable and set the endpoint to this Actor's Standby URL with /mcp?token=YOUR_TOKEN&apifyToken=YOUR_TOKEN on the end, your own Apify token in both places, authentication left at none. The token goes in twice because Apify's Standby gateway strips the one you authenticate with before the request reaches the server, so a single copy answers NO_APIFY_TOKEN on every tool. Give the agent your platform logins as arguments and it will post the video. Two things to set deliberately. Exclude upload_youtube_short and upload_youtube_video from the included tools, because the Actors behind them are under maintenance and have never landed a video; use upload_youtube_video_oauth for YouTube. And know that session values passed as tool arguments travel through the model on their way to the tool, which is worth deciding about before you paste real credentials in. Each upload is a separate billable Actor run on your own Apify account. Call list_platforms once from the agent to see which uploaders your token can reach before you build the rest of the workflow. A normal run of this Actor, outside Standby, writes one notice row about how to connect and uploads nothing.

Output fields

Ok
Kind
Message
Tool count
Tools
Platforms

How it works

Sign up on Apify01

Create your Apify account to access the Social Media Uploader Pro - Post From Claude, ChatGPT or n8n.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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