Integrations
Three ways to bring in your data and evidence, wherever it lives.
Your metrics sit in analytics and billing. Your customers talk in support tickets and sales calls. Your delivery runs in Jira. Bring it in and you can work with it: live KPIs on your dashboard, feedback turned into opportunities, a backlog that stays in sync. The same data is the evidence Sage checks your claims against. Pick the path that fits each source. Most teams use more than one.
Native integrations
Delivery tools sync both ways. Feedback and customer data flow in. Migrating from other tools? Import just once.
Jira, Linear, Intercom, Productboard… →02 · for AI, in both directionsMCP
Sage fetches the numbers your decisions rely on. Your coding agents can pull product context directly from the the product tree. Your AI Agents can add context (or artifacts) directly to the product tree.
Amplitude, Stripe, HubSpot, your own server →03 · for everything elseMake
No-code scenarios for the long tail: survey tools, spreadsheets, call recorders, internal systems.
Thousands of apps04 - for your engineersAPI, Webhooks and CSV
Every object in Shorter Loop over REST. Webhooks push data in and send events out. CSV upload for whatever sits in a spreadsheet.
Internal systems, warehouses, spreadsheets →WHICH PATH
Pick by thesource, then by who sets it up.
The same tool can sometimes be reached two ways. HubSpot, for example, has a native feedback sync and an MCP server. The native sync brings records in on a schedule. MCP lets Sage ask a specific question when a KPI or a claim needs a number.
| NATIVE | MCP | Make | API, webhooks, CSV | |
|---|---|---|---|---|
| What it does | Syncs records on a schedule or by webhook | Sage fetches metrics and answers when a KPI or claim needs them; agents write items | Your scenario pushes records in when something happens elsewhere | Your code reads and writes anything; events fire both ways |
| Direction | Two-way for delivery tools, one-way in for the rest | Both: Sage reads out, agents write in | Both inbound and outbound API calls | Both |
| Who sets it up | A product admin, from settings | The Product Admin connects over OAuth and picks which tools Sage may call | Whoever builds your Make scenarios | An engineer; anyone for CSV |
| AI credits | None to sync | Per query Sage runs | None to push | None to call |
| Best for | Jira and friends, support desks, leaving another PM tool | Analytics, finance, CRM questions; AI coding agents | Tools we don't connect to natively | Internal systems, data warehouses, spreadsheets |
Whatever data arrives by any path is then read by Sage for insights, claims and evidence. That reading uses AI credits, the same as a document you upload by hand.
The tools your team already lives in.
Native integrations cover the places your product data already lives: delivery trackers, support desks, CRM, and the product tool you may be moving away from. Delivery work stays in sync, feedback gets clustered into opportunities, and account value sits next to every request.
Sage fetches the data. Your agents write the work.
MCP is the protocol AI tools use to talk to other software. Shorter Loop uses it both ways. Sage connects out to your systems for metrics and evidence. Your AI agents connect in to build your roadmap.
For every tool we'll never build a connector for.
We won't pre-build a connector for every tool your team uses, and we'd rather say so. Shorter Loop has an official app on Make, so anything Make reaches can send data in. That covers thousands of apps.