Click Review (2026): Pricing, Features & Honest Verdict

Click is an MCP server that gives ChatGPT and Claude research connectors web search cannot reach: LinkedIn profiles, Meta Ads creative, Zillow listings, live flight fares and company financials. One install covers all thirteen sources. Best for: sales researchers and analysts living inside an AI chat. Price: $49/mo for 500 credits. Rating: 6.5/10.

What is Click?

Click is a single Model Context Protocol server that plugs a bundle of specialist data sources into ChatGPT, Claude or Codex. Instead of your agent guessing at LinkedIn from a cached search snippet, it queries the source. Instead of describing what flight prices are probably like, it pulls live fares. The pitch is in the tagline on the homepage: give your agent more than web search.

We found it at number nine on Product Hunt’s 12 August leaderboard with a single upvote, which is a strange place to find a Y Combinator company. It is made by Aditya Asgaonkar and runs at useclick.ai. The low vote count is worth ignoring: launch-day votes measure audience size, not product quality, and this is a more interesting product than its position suggests.

What problem does Click actually solve?

Every general-purpose AI assistant has the same blind spot. Its web search returns pages that a crawler could reach and a cache retained. That excludes almost everything a researcher actually wants: who reacted to a post, what a company’s active ad creative looks like right now, what a specific flight costs today, what the insider trading filings say this quarter.

You can solve this by wiring up five API accounts and writing glue code. Click’s argument is that you should not have to, and that one MCP installation should carry all of it. That argument holds up better than most MCP pitches we have looked at, because the failure mode it fixes is one anybody who has asked an agent to do sales research has personally hit.

What are Click’s key features?

Thirteen connectors under one installation

The published source list runs to LinkedIn, X, Reddit, Facebook, Instagram, TikTok, YouTube, Meta Ads, Google Maps, Zillow, Stocks, Flights and hotels, and an advanced web search. Each one is scoped rather than vague: LinkedIn covers people, companies, current roles and career history; Meta Ads covers creative, reach estimates, impressions and publisher details; Stocks covers financials, operating metrics, filings and trades. New connectors arrive automatically without a reinstall.

Works with Codex, ChatGPT and Claude

Not Claude-locked, which is the correct decision and not a universal one in the MCP ecosystem. One installation serves whichever assistant you are in that week.

Composition across sources

The feature that justifies bundling rather than installing three separate MCP servers is that the agent can combine them in one task. Click’s own worked example is meeting prep: read the attendee’s LinkedIn activity, pull two recent interview transcripts off YouTube, and identify declining metrics from the latest 10-K, then merge the three into a brief. Another is finding ten robotics influencers by cross-referencing X reach, YouTube subscriber counts and LinkedIn work emails.

New connectors arrive without a reinstall

The plan bullet states that new connectors become available automatically, and the features page lists “more coming soon” beneath the current thirteen. That is the strongest structural argument for buying a bundle rather than assembling your own: the maintenance of each source, and the inevitable breakage when a platform changes its layout, becomes someone else’s job. Whether Click keeps that promise is the thing to watch over the next two quarters.

Task-shaped rather than template-shaped

The features page makes a point of saying its examples are starting points, not predefined workflows. You hand your agent a real task and it picks the sources. This is the right framing for MCP, where the value is in the agent’s freedom to choose tools, and it is a refreshing change from products that ship twelve rigid templates and call it automation.

How much does Click cost?

$49 a month for 500 credits on the Individual plan. That is the only price Click publishes.

We need to be precise about that, because Click’s pricing page has four views and only one of them contains anything. There is an Individual tab and a Business tab, and inside Individual there is a Monthly tab and an Annual tab. Individual plus Monthly renders a card: $49, 500 credits per month, three feature bullets. The Business tab renders an empty panel. So does Annual. We confirmed this twice, first from the page source and then from a full browser render with a twenty second budget, so it is not a loading artifact. The meta description promises to “review individual and business pricing”, and the business pricing is not there.

The second gap is that a credit is never defined. Five hundred of them per month, at just under ten cents each, but the page never says whether a credit is one connector call, one source queried, or one agent task that might touch four sources. For a tool whose entire purpose is combining sources in a single task, the difference between those readings is roughly fourfold, and it decides whether $49 buys you a month of research or a week of it.

For context, Exa, the closest thing to a general research API for agents, gives $10 of credits per month on its free tier and prices searches from $0.012 each on pay-as-you-go, with $20 of credits on sign-up. That is a different shape of pricing, not a directly comparable number, but it does show that the category has a working free tier and Click’s pricing page does not show one. There is a “Try Free” button in the navigation, so a trial evidently exists. It is simply not described anywhere a buyer would look.

Who is Click best for?

Use Click if your work is research-shaped and you already do it inside an AI chat. Sales teams preparing for meetings, recruiters sourcing candidates, competitive analysts tracking rival ad spend, and anyone who currently pays for two or three of LinkedIn Sales Navigator, an ads intelligence tool and a market data terminal. Against that stack, $49 is trivial.

Use it if you value one installation over five. Wiring up separate MCP servers for social, financial and maps data is an afternoon you do not get back, and maintaining them is worse.

Skip Click if you need one source deeply rather than thirteen shallowly. A dedicated LinkedIn tool will out-resolve Click on LinkedIn, and if that is 90% of your work you should buy that instead. Skip it if you need predictable spend at volume, because you cannot forecast a monthly bill against a unit the vendor has not defined. And skip it if your compliance team has opinions about scraping social platforms, because the connector list is going to start that conversation whether you want it or not.

Best Click alternatives

Exa is the developer-first option: a search API built for AI agents, with a free tier carrying $10 of credits per month, $20 of credits on sign-up, and usage priced from $0.012 per search. It is stronger on general web retrieval and weaker on the walled-garden sources that are Click’s whole point.

Bright Data covers the same platform-specific territory at far greater depth, with an MCP server of its own, and prices accordingly. Pick it when the data collection is the product rather than an input to a chat session, and when you have engineering time to spend on it.

Apify offers thousands of individual actors covering most of Click’s sources and then some, on a usage-based plan with a free tier. More assembly required, considerably more flexibility, and you pay per actor rather than for a curated bundle.

What we would fix first

Define a credit. One sentence on the pricing page stating what consumes one would remove the single largest objection to buying. Then either fill the Business and Annual tabs or delete them, because two empty panels on a three-item pricing page reads as a product that shipped its checkout before it finished its plan structure. Finally, publish the free trial’s terms: there is a “Try Free” button and no description anywhere of what it grants.

None of these are hard. All three are the difference between a 6.5 and an 8.

Final verdict: is Click worth it?

The product is good and the pricing page is not finished. Thirteen genuine connectors behind one MCP install, working across ChatGPT, Claude and Codex, composing across sources in a single task, is a real improvement over an agent that can only read what a crawler cached. If you do research for a living, $49 a month is less than an hour of your time and Click will save you considerably more than that in a week.

We rated it 6.5 because a buyer cannot answer basic questions from the published information. What does a credit buy. What does Business cost. What does the free trial include. Those answers exist somewhere inside the company, and until they reach the pricing page, the sensible move is to take the trial, run your ten hardest research tasks through it, and count how many of your 500 credits are gone at the end. Then you will know what Click costs, which is more than the pricing page will tell you.