What Are Claude Connectors? Complete Guide for Beginners

Claude connectors are built-in integrations that let Claude work directly inside the tools you already use, Gmail, Slack, Notion, your CRM, and hundreds more, so it can read and act on your real data instead of just talking about it. They're the bridge between Claude and the apps where your work actually lives. This guide covers what Claude connectors are, how to set one up, how the permission model keeps you safe, and what to do when the tool you need doesn't have a connector yet.

Most of your work doesn't sit in files on your desktop. It sits in the cloud apps you're in all day. Connectors are how Claude reaches them, and they're the fastest way to go from a useful assistant to one that gets real jobs done.

Watch: for the protocol that powers custom connectors, our short explainer MCP Explained in 2 Minutes is a good primer.

What are Claude connectors?

A connector is a ready-made integration between Claude and an external tool. Once connected, Claude can use that tool's features on your behalf: search your inbox, post to a Slack channel, read a Notion database, update a CRM record.

There are three ways Claude can interact with your tools, and connectors are the main one. The other two are writing code to hit an API directly (more technical) and browser automation, where Claude clicks through a web page when nothing else is available. Connectors are where you should start, because they're the simplest and the most reliable.

Each connector exposes a set of tools, which are the specific actions Claude can take in that app. A Gmail connector, for example, exposes clearly named actions like search threads, list labels, and create a draft. The point is that Claude isn't loose inside your account; it can only do the specific things the connector allows.

How to set up a Claude connector

Setting one up takes a minute and no technical skill.

In Claude Cowork, go to Customize, then Connectors, then browse the hundreds of built-in options. Pick the tool you want and connect it. Connecting uses OAuth, the same secure sign-in flow you've used to log into apps with Google or Microsoft. You log in to your account and grant Claude access only to what your account can already see.

That last point is worth sitting with, because it's the thing people worry about. Connecting your Gmail gives Claude access to your inbox, not your colleagues'. It can only ever see and do what you can see and do.

One practical note: connectors update often and don't always refresh on their own. If a tool has gained new actions, click the three dots next to the connector and choose Refresh tools list to pull them in.

How Claude connector permissions work

Permissions are the part that keeps connectors safe to use, so it's worth understanding them properly.

Each connector splits its tools into two groups. Read-only tools retrieve information without changing anything, such as searching a thread or listing labels. Write and delete tools change things, such as creating a draft, deleting a label, or sending a message.

For each tool, or for a whole category at once, you set one of three permission levels. Always allow lets Claude use it without asking. Needs approval makes Claude pause and ask you before acting. Blocked means Claude can never use it.

A sensible default is to set read-only tools to Always allow, so Claude can gather what it needs without interrupting you, and keep anything that writes, sends, or deletes on Needs approval. Always keep destructive or outbound actions, like sending an email or deleting a record, behind approval. It costs you a single click and it means nothing irreversible happens without your say-so.

When there's no Claude connector: custom connectors and MCP

Not every tool has a built-in connector yet, but you're rarely stuck. Many tools publish what's called a remote MCP server, which is a standard way for an app to expose itself to AI tools like Claude.

To check, search for the tool's name plus "MCP server" and look at its developer docs. If one exists, go to Connectors, choose Add custom connector, give it a name, and paste in the remote MCP server URL from the docs. Then connect it through OAuth exactly as you would a built-in connector. The functionality is identical; built-in connectors have simply been through extra verification by Anthropic.

The open standard behind all of this is the Model Context Protocol. Think of it as a universal adapter: instead of every tool needing a custom integration, MCP gives Claude one standard way to plug into any app that supports it. It's why the list of things Claude can connect to keeps growing.

Getting the most out of Claude connectors

A few habits separate people who get clean results from connectors and people who get frustrated.

Be specific with what you point Claude at. Asking it to "find the monthly reporting spreadsheet" wastes effort and risks the wrong file. Paste the exact link or ID of the spreadsheet, Slack channel, or database instead. It's faster and safer.

Watch the tool calls. Click into a connector action to see exactly how Claude structured the request, for example, which emails it pulled and how many. Connectors often return only the first batch of results, so on a big dataset, check Claude is seeing the full picture.

For large datasets, work on local files first. Export to a CSV, have Claude do the analysis on the complete file, then connect the live tool. Connectors frequently pull only the first few hundred or thousand rows, whereas a local export gives Claude everything, and it will tell you which fields a connector would have missed.

Turn off connectors you don't need for a task. If two similar tools are both connected, Claude can mix them up. Switch off the one you're not using to keep things clean.

Connect Claude to your stack

Connectors are what move Claude out of the chat window and into the tools where your work happens. Start with the one app you spend the most time in, connect it, set read-only actions to Always allow and anything destructive to Needs approval, and give Claude a real task inside it. Add custom connectors through MCP as you need them.

If you want your team connecting Claude to your whole stack and building automations on top, our hands-on AI automation training takes operators from their first connector to workflows that run across every tool you use.