Think inside your AI world.

Brevo through Unl

Brevo's MCP will happily report a list's open rate and bounce rate on request. Unl asks first whether that list still clears the bar you ratified for sending to it at all.

Brevo through Unl reads campaign performance and contact health against the send-readiness bar you have ratified, so 'is this list ready to send to?' comes back send-or-hold with the condition it hasn't met.

What Brevo holds

What Brevo's MCP genuinely hands back, read-only:

  • Campaign performance - delivery, open, and click statistics for a specific send, through the campaign analytics module.
  • Contact and list counts - who is currently on a list and in what state, through the contacts module.
  • Segment membership - which contacts currently qualify for a given segment.
  • Campaign-level detail - individual campaign records retrievable on request, not just aggregate totals.

What the naked read gives you

Ask Brevo's MCP how a list has been behaving and it answers honestly - bounce rate, open rate, unsubscribe count, all current, all real. The server is not hiding anything or forcing you to dig through the dashboard first; the read is complete for what it covers. What it does not carry is the send-readiness bar your team already fixed - the point at which a list stops being safe to mail and starts needing a clean-up pass first.

The frame judges the data it is given; it does not verify the source’s accuracy.

What changes when Brevo is read measured

A boutique agency owner ratified the rule in Unl: a list only gets a new campaign once its bounce rate sits under 2% and its rolling open rate stays above 15%, because a tired list drags deliverability down for every client account sharing the sending domain.

'Is this list ready to send to?' returns, measured: hold - the list is sitting at 3.4% bounce and 11% open, under the ratified bar on both counts. Brevo supplied the campaign and contact statistics; your ratified rule supplied the bar that turns two numbers into a decision to prune before sending.

And back again

Once the hold call is logged, Unl keeps the bounce-rate and open-rate reading attached to that list rather than letting it reset with the next chat, so when the same list resurfaces before a launch campaign next quarter, the send-or-hold bar and the numbers that failed it are already there to be checked again before anyone hits send.

The answer comes back measured against what you already decided, and why.

The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.

Questions people ask

Would the verdict change once the list is pruned?

Yes. Pruning changes the inputs Brevo reports, not the bar itself - once bounce rate drops under 2% and open rate climbs back over 15%, the same question against the same ratified rule returns send, not hold.

How do I connect Brevo to Claude?

Brevo publishes an official MCP server with individual connector endpoints for campaigns, contacts, and CRM data; add the relevant one as a custom connector in Claude using a Brevo API key generated for MCP access, and Unl reads through that connection.

Does Unl send campaigns or change contact lists in Brevo?

Unl reads through Brevo, and can write back on your explicit gesture — it never acts as a side effect of a read.

What this is

Think inside your AI world — you stay in command

Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.

It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.

Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:

Alpha is invite-only · free at launch.