Something happened during a team demo last month that made us realise how much friction there still is between Claude and the live web. Someone ran a prompt asking Claude to pull together what developers were saying about a competitor's latest release - Hacker News threads, Reddit posts, GitHub issues. Claude gave a thoughtful answer grounded entirely in training data. Nothing from the past few months. No source links.
That's the gap the connector closes.
We worked with Anthropic to get Anakin into the connector directory - it went live in September 2026. Connect it once, and Claude gets live web access - not just basic scraping, but structured data from 940+ sites, scheduled monitoring, deep research pipelines, and browser-level automation. Here's what that actually looks like across different kinds of work.
For engineers building agents
If you're wiring up agents in Claude Projects or using Claude Code for research tasks, the connector removes one of the most annoying pieces of agent scaffolding: the scraping pipeline.
Instead of running a separate scraper service, managing proxies, and piping results back into your agent context - you just describe what you want. Claude calls the right Anakin tool, gets back clean markdown or structured JSON, and keeps going. That's what the scrape and agentic_search tools make possible.
The Wire catalog is where this gets interesting for structured data. Wire works at the network layer - instead of parsing HTML, it intercepts the background API calls a site's own frontend makes. The result is typed JSON, not scraped text. For Amazon, eBay, Walmart, LinkedIn, 940+ others, you get clean product data, pricing, and listings without writing a custom scraper. Ask Claude to pull current pricing across three marketplaces and it'll do it in one turn.
{
"title": "iPhone 16 Pro 512GB",
"price": 1099.00,
"currency": "USD",
"seller": "Amazon",
"availability": "in_stock",
"url": "https://amazon.com/dp/B0DHJXQHRD"
}Use the Wire catalog to pull current pricing for iPhone 16 Pro 512GB
from Amazon, eBay, and Walmart. Return as a comparison table.Several teams in the Anakin community have already built entire products on this pattern. FounderOS uses it to detect competitor feature updates and pricing shifts, then push those to Slack and Telegram. frag is a CLI that keeps RAG knowledge bases in sync with live web data - no manual scraper maintenance. Both of those are essentially what you can now do interactively in Claude, without any pipeline.
For product and e-commerce teams
Price monitoring is the obvious use case, and it works. "Track iPhone 16 Pro 512GB pricing on Amazon, eBay, and Walmart, and tell me if any of them drop below $900" is a prompt that will run end-to-end, because the Wire catalog has structured actions for all three.
But there's something less obvious: scheduled monitoring with alerts. The monitor_create tool lets you watch a page, a site, or a Wire action - and get alerted by webhook or email when something changes. So you can ask Claude to set up a monitor on a competitor's pricing page, without writing any code.
For teams doing assortment research or market mapping, crawl and map do the heavy lifting. Map discovers all URLs on a domain, up to 5,000. Crawl fetches them in bulk. You can ask Claude to crawl an entire competitor's product catalogue and summarise what has changed since last quarter. The price monitoring software market is growing at 13% annually and projected to reach $2.17 billion in 2026 - a lot of teams are looking for ways to run this kind of intelligence without maintaining a scraper fleet. (Business Research Insights, 2026)
For GTM and sales teams
The lead enrichment case is where non-technical teams find this useful quickly. A prospect walks in with a domain name, and you want to know: what stack are they running, what job listings do they have, what are people saying about them on G2? Those are all web fetches. With the connector active, you can ask Claude to pull all of that in one prompt.
The agentic_search tool runs multi-source research - it searches, pulls full page content from relevant results, and synthesises an answer with citations. For something like "what are the top complaints about [competitor] on Reddit and Trustpilot this month," that's a single-turn research task instead of an hour of manual browsing.
For founders and brand teams: the AI visibility angle
This one doesn't get talked about enough. The connector exposes two tools - ai_visibility_search and ai_visibility_sources - that let you ask how ChatGPT, Gemini, and Google AI Overview answer questions about your brand or category, side by side, from inside Claude.
Run something like: "How do ChatGPT and Gemini describe the top web scraping APIs, and where does Anakin appear in each?" You get a direct comparison. That's useful for GEO - tracking whether your content is actually influencing what AI systems say about you. BrandRadar, a project built on top of Anakin, does exactly this: real-time intelligence about how brands show up across AI engines. With the connector, you can now do that ad-hoc in Claude without any infrastructure.
How to connect - Claude web UI
About 30 seconds:
- Click + in the chat input bar, then Add connector, then Browse connectors
- Find Anakin in the directory and click Connect to Claude
- Review the permissions list. Anakin creates a dedicated "Claude (MCP)" API key scoped just for this - your password is never shared, and you can revoke it anytime from the Anakin dashboard.
- Click Approve. You'll see a "Connected to Anakin" confirmation and the checkmark appears on the listing.
If you're on Claude Code or the CLI:
claude mcp add --transport http anakin https://mcp.anakin.io/mcpSomething to try first
Once connected, run this:
Search Reddit, Hacker News, and dev forums for what engineers are saying about [tool] this month. Pull the top threads and give me a summary with source links.
Claude will use agentic_search to pull live results, synthesise them, and cite every source. The kind of research that normally takes an hour takes a couple of minutes.
The directory listing is at claude.ai/directory/anakin. Full docs at anakin.io.