A team demo before launch showed us 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 Anakin connector closes: live web access for Claude, from inside the chat.
We worked with Anthropic to get Anakin into Claude's connector directory, and the listing went live in September 2026. Connect it once and Claude can work with the live web on its own: clean page content, structured data from more than 970 sites in the Wire catalog (973 as of 25 Oct 2026), scheduled monitoring, deep research and browser-level automation. Here's what that 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 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.
Structured data comes from the Wire catalog. 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 and more than 960 other sites, 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. Here's one product from a real Amazon search Wire returned on 25 Oct 2026 (the am_search_products action, trimmed to the main fields):
{
"asin": "B0DHJ2MKQM",
"title": "iPhone 16 Pro, 512GB, Black Titanium - Unlocked (Renewed)",
"url": "https://www.amazon.com/dp/B0DHJ2MKQM",
"price": 778.96,
"list_price": 844,
"currency": "USD",
"rating": 4,
"review_count": 2740
}You don't need to know the action name. A plain prompt like this one is enough, and Claude picks the actions for each marketplace:
Use the Wire catalog to pull current pricing for iPhone 16 Pro 512GB
from Amazon, eBay, and Walmart. Return as a comparison table.Several projects in the Anakin community are built 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 the live web. With the connector, you can do the same kind of work interactively in Claude, without a 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 the URLs on a domain, up to 5,000 per request. Crawl fetches them in bulk. You can ask Claude to crawl a competitor's product catalogue and summarise what's in it. Put a site-wide monitor on the same domain and every run reports the pages added, removed and changed, so next quarter's comparison is already waiting. The price monitoring software market is projected to reach about $2.17 billion in 2026, growing around 13% a year through 2034, and plenty of teams want this kind of intelligence without maintaining a scraper fleet. (Business Research Insights, 2025)
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, scrapes the top sources for full content, and writes up 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 gets overlooked. 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 each engine's answer next to the others. That's useful for GEO (generative engine optimization): tracking whether your content is changing what AI systems say about you. With the connector, you can run that check ad hoc in Claude, with no infrastructure to set up.
How to connect Anakin to Claude
In the Claude web app it takes four steps. You'll need an Anakin account: the free tier includes 300 credits with no card required, and each tool call uses credits.
- Click + in the chat input bar, then Add connector, then Browse connectors
- Find Anakin in the directory and click Connect to Claude
- Sign in to Anakin (Google or email), then 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 the key anytime from the Anakin dashboard.
- Click Approve. You'll see a "Connected to Anakin" confirmation and the checkmark appears on the listing.
In Claude Code, one command adds the same server:
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. It's the same question from the demo at the top of this post, and this time the answer is current and comes with links.
The directory listing is at claude.ai/directory/anakin. The connector docs list all 21 tools, and everything else is at anakin.io.
Frequently Asked Questions
What does the Anakin connector add to Claude?
Live web tools over remote MCP: scraping, web search, map and crawl, multi-source research, structured data from the Wire catalog (973 sites as of 25 Oct 2026), scheduled website monitors, AI visibility comparisons and cloud browser tasks. The connector exposes 21 tools in total.
How do you connect Anakin to Claude?
In the Claude web app, click + in the chat input, then Add connector and Browse connectors. Find Anakin, click Connect to Claude, sign in to Anakin and approve the permissions. In Claude Code, run claude mcp add --transport http anakin https://mcp.anakin.io/mcp.
Do you need to paste an Anakin API key into Claude?
No. The connector uses OAuth. Anakin creates a dedicated "Claude (MCP)" API key scoped to your account, your password is never shared, and you can revoke the key anytime from the Anakin dashboard.
How much does it cost to use Anakin in Claude?
Tool calls use Anakin credits. The free tier includes 300 credits with no card required. As one example, the Wire am_search_products action for Amazon costs 1 credit per call.
Can Claude watch a page and send an alert when it changes?
Yes. The monitor_create tool watches a page, a whole site or a Wire action on a schedule and sends an alert by webhook or email when something changes.
Which AI engines can the AI visibility tools compare?
ai_visibility_search asks ChatGPT, Gemini and Google AI Overview the same question and returns their answers side by side, so you can see how each one describes your brand or category.