Apify MCP Server** の**Mastra AI Agent は、Apify MCP Server と組み合わせた際の、mastra.ai フレームワークのパワーを発揮する汎用AIエージェントです。 このActorは、モデルコンテキストプロトコル(MCP)を活用し、Apifyの広範なActorsライブラリを使用してAI主導のワークフローを接続し、シームレスなデータ抽出、Webスクレイピング、タスクの自動化を実現します。

TypeScript と Apify SDK で構築されたこの Actor は、リアルタイムの Web データとツールにタップするカスタム AI エージェントを作成するために、開発者にとって柔軟なスタートポイントとして機能します。

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##TikTokトレンド分析

特定のアカウントからTikTok投稿をスクレイプし、重要な傾向をまとめます。

入力例:

出力例:

##ウェブリサーチ合成

トピックのWebを検索し、トップ検索を蒸留します。

入力例:

出力例:

###ユースケース ◀

入力を微調整し、独自のAIエージェントを作成して、ユースケースにタックル!

欲求の特徴

• ✓AI搭載のヘルプ**: マストラ.aiフレームワークを使用して、OpenAIモデル([gpt-4o])でプロンプトを処理します.

Mastra AI Agent with Apify MCP Server

The Mastra AI Agent with Apify MCP Server is a generic AI agent designed to demonstrate the power of the mastra.ai framework when paired with the Apify MCP Server. This Actor leverages the Model Context Protocol (MCP) to connect AI-driven workflows with Apify’s extensive library of Actors, enabling seamless data extraction, web scraping, and task automation.

Built with TypeScript and the Apify SDK, this Actor serves as a flexible starting point for developers looking to create custom AI agents that tap into real-time web data and tools.

🛠️ Use cases

TikTok trend analysis

Scrape TikTok posts from a specific account and summarize key trends.

Example input:

{
  "prompt": "Scrape the latest 10 posts from @techcrunch on TikTok and summarize key tech topics.",
  "agentName": "TikTok Tech Analyzer",
  "agentInstructions": "You are a tech analyst scraping TikTok posts to identify trends.",
  "modelName": "gpt-4o-mini",
  "actors": ["clockworks/free-tiktok-scraper"]
}

Example output:

{
  "prompt": "Scrape the latest 10 posts from @techcrunch on TikTok and summarize key tech topics.",
  "response": "Here are the latest 10 posts from TechCrunch on TikTok, along with key tech topics summarized..."
}

Web research synthesis

Search the web for a topic and distill top findings.

Example input:

{
  "prompt": "Search the web for recent advances in quantum computing and explain the top 3 breakthroughs.",
  "agentName": "Quantum Research Bot",
  "agentInstructions": "You are a research assistant that scours the web for technical info.",
  "modelName": "gpt-4o",
  "actors": ["apify/rag-web-browser"]
}

Example output:

{
  "prompt": "Search the web for recent advances in quantum computing and explain the top 3 breakthroughs.",
  "response": "Here are the top three recent advances in quantum computing as of 2025..."
}

Your use case 💡

Tweak the input and create your own AI agent to tackle your use case! 🚀

🎯 Features

• 🤖 AI-powered assistance: Uses the mastra.ai framework to process prompts with OpenAI models (e.g., gpt-4o, gpt-4o-mini).
• 🌐 Apify MCP integration: Connects to the Apify MCP Server to access tools like clockworks/free-tiktok-scraper and more.
• 💰 Pay-per-event pricing: Flexible, usage-based billing for Actor runs and task completions.

🔄 How it works

1. 📥 Input
   • Prompt (e.g., “Analyze posts from @openai and summarize AI trends”)
   • Agent name (e.g., “Helpful Assistant Agent”) - name for the agent