Give an AI agent live tweets through MCP
JEB
Give a language model live tweets. Connect your MCP client to https://mcp.apify.com, then call call-actor with the name altimis/scweet and the input below. The agent receives structured tweets with the engagement counts and a link for each one. Claude, Cursor, and any other MCP client work the same way, and you host nothing.
Input
Output fields
Sign up on Apify or log in
The Scweet Twitter/X Scraper Actor is ready to run with the inputs already set for "Give an AI agent live tweets through MCP". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Give an AI agent live tweets through MCP" task
The Scweet Twitter/X Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search query, from date, and more, to match your specific use case.
Receive the "Give an AI agent live tweets through MCP" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as tweet url, tweet id, text, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Give an AI agent live tweets through MCP" task via API.
