How Lindy Connects to Slack, Gmail, Notion, and 1,000+ Other Tools

Lindy connects to your existing tools through native integrations and MCP support, so it can read context, take actions, and file results back into the apps your team already uses. According to Lindy's site, it supports Gmail, Slack, Notion, HubSpot, and 1,000+ more, and it asks before it alters anything. If your team works across those tools and wants an AI teammate that operates inside them rather than beside them, Lindy is built for that setup.

What "connected" actually means

Lindy isn't a separate workspace you have to check. It plugs into the tools where work already happens and acts there.

• Reads and writes across apps — Gmail, Slack, Notion, HubSpot, and 1,000+ others are listed as supported integrations.
• Extends beyond the built-in list — Lindy supports MCP (Model Context Protocol), which the site describes as making "the world your oyster" for connecting additional tools.
• Confirms before changing anything — the site states plainly that "Lindy asks before it alters anything," so actions that modify your data go through a confirmation step.

That last point matters if you're evaluating risk. An AI teammate that can write to Slack or update a CRM record is only useful if you trust what it does — the ask-first behavior is the mechanism Lindy uses to earn that.

Connecting your tools, step by step

1. Pick the tools you want Lindy to work in. Start with the ones your team lives in daily — typically Slack for communication, Gmail for email, and Notion or HubSpot for records and docs.
2. Connect each integration. Lindy lists Gmail, Slack, Notion, and HubSpot as supported, with 1,000+ more available. For anything outside that list, MCP support is the path to extend.
3. Verify the connection works before automating. Ask Lindy to do something read-only first — summarize a channel, pull a doc, check a record. You'll see whether it has the access it needs without risking a write.
4. Test a write action and watch the confirmation step. Because Lindy asks before altering anything, your first write should surface a prompt. Confirm it behaves the way you expect.
5. Add MCP connections only when a real need appears. Don't front-load exotic integrations. Add them when a specific workflow requires a tool that isn't in the native list.

Expected result: Lindy can pull context from and push actions into the tools you connected, with a confirmation gate on changes.

Meetings are a connection too

Lindy's meeting handling works differently from a typical integration, and it's worth understanding separately.

• Share meetings with your team instantly. One person takes a call, and the right people get the context — you don't need everyone on the invite.
• Query shared meetings anytime. Recordings are filed automatically into a searchable library. The site shows this organized by category, for example "Marketing · 9 recordings" alongside Sales, UXR calls, and launch videos.
• Context flows to the team, not just the attendee. This is the practical difference: a meeting becomes shared team knowledge rather than a private recording.

If your team regularly has one person on a call who then has to brief everyone else, this is the feature that removes that step.

Where connections show up in daily work

Once tools are connected, Lindy runs routines on a schedule against them. The site lists examples including:

Each routine is set up with "a sentence" — you describe what you want, and Lindy runs it against your connected tools on that schedule.

Skills and memory: what Lindy keeps

Two connected capabilities shape how well Lindy works across your tools over time.

Skills (40+ available). Research, data analysis, slide decks, Slack catch-ups, and dashboards are listed as built-in skills. The site says Lindy "picks the right one on its own," and that you can show it how you do something once, save it as a skill, and the whole team gets it. Skills listed as active in the site's example: 42.

Editable memory in plain files. Lindy learns about you and your company, and the site says it all lives in plain files — you can open the memory folder, read what it remembers, and change it like a doc. Example memory entries from the site:

• "Weekly report goes out Mondays, 9am."
• "Acme renewal is the priority this quarter."
• "Flo prefers charts over tables."

This is the part that makes cross-tool work coherent. Lindy isn't just moving data between Slack and Notion — it's applying stored context about your priorities and preferences while it does.

Common snags to plan for

• A tool you need isn't in the native list. Check MCP support before assuming it can't connect.
• You connected a tool but Lindy can't act in it. Test a read first, then a write, to isolate whether it's an access problem or a capability problem.
• You don't want Lindy writing to a shared system. The ask-first behavior is your control point — expect and review the confirmation prompts.
• Meeting context isn't reaching the right people. Sharing is a deliberate step; confirm recordings are being filed and shared with the intended team.

Is this the right fit?

Lindy fits teams that already run on Gmail, Slack, Notion, HubSpot, or similar tools and want an AI teammate operating inside them — with scheduled routines, shared meeting context, and editable memory. It's a weaker fit if your work lives in tools outside the 1,000+ supported list and you're not prepared to set up MCP connections, or if you need every action pre-approved with no confirmation workflow at all.

The site offers a 7-day free trial with cancel anytime, so the practical test is connecting two or three of your real tools and running one routine against them before deciding.