> For the complete documentation index, see [llms.txt](https://docs.groundcover.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.groundcover.com/automate/connectors/notion.md).

# Notion

Connect Notion to search workspace knowledge and publish Agent Mode findings

Connect Notion to let Agent Mode find operational knowledge and turn new findings into durable documentation.

## What You Can Do

**Read and investigate**

> Find the checkout latency runbook in Notion and summarize the mitigation and rollback steps.
>
> Search our incident database for similar payment failures and compare their root causes.

**Take action**

> Create an RCA page under Engineering Incidents from this investigation. Include the timeline, root cause, evidence, and follow-up actions.
>
> Update the checkout runbook with the verified recovery steps we used today, and add a comment explaining the change.

Agent Mode can search and read pages and databases, and—when the relevant tools are allowed—create or update pages, databases, and comments.

## Setup

1. A workspace admin goes to **Integrations → Connectors → Org Connectors**, selects **Notion**, and enables it.
2. The admin clicks **Connect**, completes OAuth, and reviews the [tool restrictions](/automate/connectors/mcp.md#managing-tool-restrictions).
3. Each user goes to **Integrations → Connectors → My Connections** and selects **Notion**.
4. Click **Connect** and authorize the Notion workspace and pages that Agent Mode may access.

{% hint style="info" %}
Agent Mode uses the connected user's Notion permissions and the pages shared during OAuth, subject to groundcover's tool restrictions. Write actions may require approval.
{% endhint %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.groundcover.com/automate/connectors/notion.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
