Slides: The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify
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The rise of the agentic economy on the shoulders of MCP — Jan Curn, Apify
Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.
Related Scheduled Sessions
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Extracted Slides

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OCR text:
The rise of the agentic economy on
the shoulders of MCP
Jan Curn, Founder & CEO
@jancurn

OCR text:
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Crawt websites and extract text content to Extract Google Maps contact details. Scrape Scrape and download Instagram posts,
feed Ai models, LLM applications, vector websites of Google Maps places for contact profiles, places, hashtags, photos, and
databases, or RAG pipelines. The Actor... details and get email addresses, website,... comments. Get data from instagram using...
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Introducing Twitter Scraper Unlimited, the Extract data from hundreds of Facebook Extract data about videos, users, and
most comprehensive Twitter data extraction posts from one or multiple Facebook pages channels based on hashtags or scrape full
solution available. Our enterprise-grade... and profiles. Get post URL, post text, page ... usef profiles including posts, total likes,...
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Extract data from thousands of Google Maps locations and businesses. Get Google Maps data including reviews, reviewer
details, images, contact info, opening hours, location, prices & more. Export scraped data, run the scraper via API,
schedule and monitor runs, or integrate with other tools.
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© Response time 4.5 days S Last modified 3 hours ago
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Python JavaScript cul OpenaPi HTTP mcp
1 from apify_client import ApifyClient 6
2
3° # [Initialize the ApifyClient with your Apify API token
4 oo# Replace '<YOUR_API_TOKEN>’ with your token.
5 client = ApifyClient “- CUR APL TOKon.”
6
7?) # Prepare the Actor input
8 run_input = «
9g “searchStringsArray: [Teestaurant’ |,
10 “TosatianQiery “New York, USA’,
11 “maslrawvedPlacesPerSearch': 5@,
12 “Canguage’: Ten’,
13 “sgateages: @,
14:
15
16 # Run the Actor and wait for it to finish
17) cun = client.actor ‘comcuss/crawler qoagte: places” |. calli cun_input=run_input |
18
19 @ Fetch and print Actor results from the cun’s dataset [if there are any)
20 print “Mi Check your data nerve: "tteps:oyromanie.apity.con/staraqesdatasets/" # runivdetacitdataset ia’)
21 for item in client.dataseticun “defauttbataset io’! iterate_items =:

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MCP quickly became standard
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= Process Details:
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Slide-Derived Subjects To Review
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