Make

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Prerequisites

• A Twexapi API key
• A Make scenario with a Custom webhook
• An MCP-capable agent connected to Twexapi MCP
• A destination module such as Sheets, Airtable, Notion, Slack, or Data store

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Scenario

1. Add a Custom webhook module.
2. Send Twexapi handoff JSON from your MCP-capable agent.
3. Use Iterator on the tweets array.
4. Add filters for topics, authors, or engagement.
5. Write rows to Airtable, Google Sheets, Notion, or a database.

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Agent prompt

Use Twexapi MCP to fetch trending tweets for country united-states, topic technology, content AI.
Return only JSON with route_used, country, topic, content, has_more, next_cursor, and tweets.
Each tweet must include tweet_id, author_username, text, created_at, like_count, reply_count, and retweet_count.

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Iterator schema

{
  "tweet_id": "1803006263529541838",
  "author_username": "openai",
  "text": "Example tweet text",
  "created_at": "2026-07-02T10:00:00Z",
  "like_count": 10,
  "reply_count": 2,
  "retweet_count": 3
}

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Direct REST continuation

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HTTP module setup

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Router branches

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Testing checklist

• Run once with a small count, such as 5.
• Confirm the Iterator receives one bundle per tweet.
• Confirm tweet_id is used for dedupe before writing rows.
• Confirm Make data store contains the latest next_cursor.