> For the complete documentation index, see [llms.txt](https://docs.edgetag.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.edgetag.io/mcp/tools/me.md).

# me

Get the current authenticated user's information, including email, teams, and subscription details.

This is typically the first tool called in any session to verify your identity and discover which teams you have access to.

### Parameters

This tool takes no parameters.

### Output

Returns your user profile including:

* Email address
* Team memberships with team IDs
* Billing and subscription information

### Example

> "Who am I on EdgeTag?"

The AI assistant will call `me` and display your account details and team memberships.


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# 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
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.edgetag.io/mcp/tools/me.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

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.
