Think inside your AI world.
Attio through Unl
Attio holds the relationships cleanly. Whether an action honours the boundaries you set — who not to contact, what stage means — is your judgement, applied to the records.
Attio through Unl reads your live workspace — records, search, relationship data — against the boundaries you have ratified, so a proposed outreach or stage change comes back within-bounds or not, with the boundary named.
What Attio holds
Attio’s MCP server exposes the CRM surface:
- Workspace records
- Search and updates
- Relationship data
What the naked read gives you
A naked read returns the contact and its history. Accurate, and it won’t stop an outreach to an account you flagged do-not-contact, because that boundary is your decision, not an Attio state it enforces on you.
The frame judges the data it is given; it does not verify the source’s accuracy.
What changes when Attio is read measured
Say you’ve ratified two boundaries: no outreach to accounts flagged do-not-contact, and no deal moved to ‘committed’ without a signed order — stage hygiene you set to keep the forecast honest.
“Can I reach out to this account?” returns, measured: no — the account carries the do-not-contact flag you set after the last escalation, so this outreach crosses a boundary you ratified for a reason. Attio supplied the record; your ratified boundaries supplied the verdict and the why.
And back again
When you lift the do-not-contact flag after the relationship resets, that decision is settled in Unl — and the next read treats outreach as allowed.
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
Can AI keep my CRM actions within boundaries I set?
Yes, through Unl. You ratify the boundaries (do-not-contact flags, stage rules, with reasons), and Attio is measured against them — a proposed action returns within-bounds or not, with the boundary named.
How do I connect Attio to Claude?
Attio offers an MCP server for workspace records and search. Through Unl the same records arrive measured against your ratified boundaries, so an action reads as allowed-or-not.
Does Unl change my Attio records?
Unl reads through Attio, and can write back on your explicit gesture — it never acts as a side effect of a read.
What if a do-not-contact account is duplicated under a second record?
Then the flag sits on one record and not the other, and the read reports what the flag covers rather than what you intended it to cover. Attio can honour a flag where it is set; that two records are the same company is a judgement about your data. The read surfaces the duplicate, so the boundary can be put on both instead of holding a line with a gap in it.
What this is
Think inside your AI world — you stay in command
Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.
Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.
MCP native·Human settled·Model agnostic·Your data
Measured Context
Connect Unl to bring the right information into the moment.
Your sources, read against the criteria you set.
The full product, open. Free at launch.