> ## Documentation Index
> Fetch the complete documentation index at: https://outcrawl.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Connect an integration, then let an agent use it

> Two steps: a human connects it, a run is granted access to it.

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Give an agent reach beyond the browser, sending a Slack message, sending an email, by connecting an integration first and then naming it when you submit a run.

## Setup

Connecting an integration is a human-only step, it has no MCP tool. Do it from the console or the CLI first:

```bash theme={"theme":{"light":"github-light","dark":"catppuccin-mocha"}}
outcrawl integrations connect slack --url https://mcp.slack.example --secret <handle>
```

Then connect the MCP server as usual for the agent side, see [setup](/docs/mcp/setup).

## What you'll do

* Connect a Slack or Gmail-style integration from the console or CLI
* Submit an agent run that names it explicitly
* Let the agent call that integration's tools mid-task

## Example exchange

**"Research this topic and post a summary to #research on Slack when you're done."**

Because the Slack integration was already connected and this run named it at submit time, the agent's task can end with a message posted through it. If the run had not been given that integration explicitly, it would have no reach to Slack at all, connecting a server to the workspace is not the same as granting one run access to it.

## What it can't do

An assistant cannot connect the integration itself, no MCP tool exists for `integrations.connect`, `list` or `delete`. That consent step is a person's alone, every time.


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