Think inside your AI world.
How do I connect Slack to ChatGPT?
Channel history, thread replies, cross-workspace search — Slack over MCP reads into ChatGPT like any client, and raises the same sharp question about authority.
Direct answer: connect Slack's MCP surface to ChatGPT. In ChatGPT, add it from the connector settings (developer mode); the tool's own docs carry the current path. Authorised, ChatGPT reads channel history, thread replies, channel lists and cross-workspace search — everything the authorising user can see, retrievable by asking.
The org's conversation, searchable
Where the migration was discussed, what the client thread actually agreed, who raised the invoice flag — retrieved across channels and workspaces. The conversation was always recorded; now it answers.
A thread is testimony, not a verdict
The urgency this connection creates: retrieval will surface sentences shaped like decisions from threads that never decided anything. Someone's confident 'so we're doing X then' reads identically whether or not X was ever settled. More retrieval means more confident testimony — and testimony needs a court.
Through Unl the thread read arrives with the court in session: what the thread claims is checked against what you actually ratified — confirmed, contradicted, or never settled at all, with the real call's reasoning served alongside. The transcript informs; your record governs.
Slack to ChatGPT makes the org's conversation retrievable; through Unl retrieval answers to your settled record — testimony and verdict finally have different weights.
Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: 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.
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Questions people ask
What does the Slack MCP surface give ChatGPT?
Channel history, thread replies, channel lists and cross-workspace search — bounded by the authorising user's visibility.
Why does more retrieval make governance more urgent?
Because retrieval amplifies whatever the record contains, and chat records contain decision-shaped sentences that never became decisions. A settled-record layer is what keeps amplification honest.
How does a thread's claim get checked?
Unl serves what you actually ratified — with its reasoning — whenever a read touches it. The comparison happens in the conversation; nothing is scraped from Slack into anywhere.
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.